JP2010256795A - Question information output device, question information output method and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To solve the problem of the conventional question information output device, where a suitable question is not output to an answerer. <P>SOLUTION: This question information output device includes: an answer correspondence information storing part 101 storing answer correspondence information that is information making question discriminating information, learning time information and corrigenda information correspond to each other; a question correspondence information storing part 103 for storing question correspondence information that is information making the question discriminating information and question information correspond to each other; a question information acquiring part 105 for acquiring the question discriminating information showing a question as the next output object in questions shown by the question discriminating information made to correspond to the learning time information and the corrigenda information, and acquiring question information corresponding to the question discriminating information using the question correspondence information; and a question information output part 106 for outputting the question information obtained by the question information acquiring part 105. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a problem information output device or the like that outputs the next problem by using information related to a learning time performed using the problem.

  Conventionally, learning using an e-learning system has been performed (see, for example, Patent Document 1).

Japanese Unexamined Patent Publication No. 2006-189558 (first page, FIG. 1 etc.)

  Voluntary learning such as an e-learning system has problems related to problem selection. In other words, if a problem that is too difficult is given to the learner, or if an advanced problem is given to the learner by skipping the elementary stage of the learning progress stage, the learner will answer the problem appropriately. There was a problem that learning efficiency and motivation would be reduced. Specifically, it is inappropriate for a learner who can solve a medium difficulty problem to solve a problem with a high difficulty level. Also, it is inappropriate to give a problem of calculating the trapezoidal area to a learner who cannot solve the problem of calculating the rectangular area. On the other hand, learning efficiency and motivation can be achieved even if a problem that is too difficult is presented to the learner, or a basic problem is presented to the learner who can cope with an advanced problem in the learning progress stage. There was a problem that would fall.

  That is, in general, there has been a problem of appropriately selecting the next problem to be output to the learner.

  The problem information output device of the present invention includes problem identification information for identifying a problem, learning time information that is information relating to time for learning performed using the problem identified by the problem identification information, and the problem identification information. An answer correspondence information storage unit capable of storing answer correspondence information, which is information associating correct / incorrect information, which is information on the correctness / incorrectness of the answer to the problem identified in (2), problem identification information, and a problem identified by the problem identification information Using the problem correspondence information storage unit that can store the problem correspondence information that is the information for associating the problem information that is the information to be shown, the learning time information associated with the answer correspondence information, and the correct / incorrect information. The problem identification information indicating the problem to be output next of the problem indicated by the information and the problem identification information associated with the correct / incorrect information is acquired, and the problem identification information is And issue information acquiring unit that the response to problems information obtained using the incident response information, and issues the information output unit for outputting a problem information the problem information acquiring unit has acquired, a problem information output apparatus having a.

  This configuration makes it possible to present the following questions to the respondent in consideration of various learning-related factors including learning time information and correct / incorrect information. Can be presented. For example, it becomes possible to output a question suitable for the level of the answerer. As a result, the learning efficiency of the answerer (learner) can be increased. Moreover, it is possible to prevent the motivation of the learner (learner) from learning.

  Further, the problem information output device of the present invention is attribute correspondence information which is information for associating the problem identification information with attribute information which is information indicating the attribute of the problem identified by the problem identification information in the problem information output device. The problem information acquisition unit is associated with the learning time information and correct / incorrect information associated with the answer corresponding information, and with the learning time information and the correct / incorrect information. Attribute determination means for determining the attribute of the next problem to be output using the attribute information associated with the problem identification information, and the attribute determination means using the attribute correspondence information and the problem correspondence information. A problem information acquisition unit including problem information acquisition means for acquiring problem information indicating a problem identified by the problem identification information corresponding to the attribute information indicating the determined attribute.

  With this configuration, it is possible to present the next problem depending on the attribute. Therefore, it is possible to easily output the optimal problem for the learning situation simply by associating the problem or problem identification information with the attribute information. .

  In the problem information output device of the present invention, in the problem information output device, the learning time information includes entry time information indicating an entry time of an answer to a problem indicated by the problem identification information corresponding to the learning time information, The problem information acquisition unit is a problem information output device that acquires problem information according to the entry time information and the non-entry time.

  With such a configuration, it is possible to output the next question suitable for the answerer who solved the problem according to the question entry time and non-entry time during learning using the question. For example, it is possible to output the next question according to the level of understanding of the answerer and the answer situation that can be considered from the combination of entry time and non-entry time.

  Further, the problem information output device of the present invention is the problem information output device, wherein the non-filling time information includes thought time information indicating a thinking time and / or free time information indicating a free time, The problem information acquisition unit is a problem information output device that acquires problem information according to thought time information and / or free time information.

  With such a configuration, it is possible to output the next question suitable for the solver who solved the problem according to the thinking time and the free time during learning using the problem. For example, it becomes possible to output the next question according to the level of understanding and the answer situation of the answerer that can be considered from the thinking time and the free time.

  In the problem information output device of the present invention, in the problem information output device, the learning time information includes learning time zone information that is information indicating a time zone in which learning is performed, and the problem information acquisition unit includes: It is a problem information output device that acquires problem information according to the learning time zone information.

  With such a configuration, it is possible to output the next question suitable for the solver who solved the problem according to the learning time zone during learning using the problem. For example, it becomes possible to output the next question according to the understanding level and answer situation of the answerer that can be considered from the learning time zone.

  In the problem information output device of the present invention, in the problem information output device, the learning time information includes learning date information that is information relating to a date on which learning is performed, and the problem information acquisition unit includes the learning date. It is a problem information output device that acquires problem information according to information.

  With such a configuration, it is possible to output the next question suitable for the answerer who solved the problem according to the learning date information during learning using the problem. For example, it is possible to output the next question according to the understanding level and answer situation of the answerer that can be considered from the learning date information or the like.

  In the problem information output device of the present invention, in the problem information output device, the answer correspondence information is information indicating the problem identification information and the strength of purpose awareness when solving the problem indicated by the problem identification information. It is information in which certain consciousness information is further associated, and the problem information acquisition unit is a problem information output device that acquires problem information according to the consciousness information.

  With such a configuration, it is possible to output the next problem suitable for the answerer who solved the problem, according to the purpose of solving the problem of the answerer during learning using the problem. For example, it becomes possible to output the next question according to the level of understanding and answer status of the answerer that can be considered from the consciousness information.

  In the problem information output device of the present invention, in the problem information output device, the answer correspondence information includes information regarding the problem identification information and behavior of the electronic pen used when solving the problem indicated by the problem identification information. The problem information acquisition unit is a problem information output device that acquires problem information according to the electronic pen behavior information.

  With such a configuration, it is possible to output the next question suitable for the solver who solved the problem according to the behavior of the electronic pen during learning using the problem. For example, the following questions can be output according to the understanding level and answer situation of the answerer that can be considered from the electronic pen behavior information.

  Moreover, the problem information output device of the present invention is the problem information output device, wherein the electronic pen behavior information is information indicating a writing pressure of the electronic pen.

  With such a configuration, it is possible to output the next question suitable for the solver who solved the problem according to the writing pressure of the electronic pen during learning using the problem. For example, it becomes possible to output the following questions according to the understanding level and answer situation of the answerer that can be considered from the writing pressure of the electronic pen.

  According to the problem information output device and the like according to the present invention, it is possible to output an appropriate problem to the answerer by using learning time information and correct / incorrect information.

Block diagram of a problem information output apparatus according to Embodiment 1 of the present invention Flow chart for explaining the operation of the problem information output device Schematic diagram of a system equipped with the same problem information output device The figure which shows an example of answer corresponding information for demonstrating operation | movement of the same problem information output device The figure which shows an example of problem condition response information for demonstrating operation | movement of the same problem information output device The figure which shows an example of the weighting information for demonstrating operation | movement of the same problem information output device. The figure which shows the next problem attribute information management table in order to explain the operation of the same problem information output device The figure which shows an example of attribute corresponding information for demonstrating operation | movement of the same problem information output device The figure which shows an example of problem response information for demonstrating operation | movement of the same problem information output device The figure which shows the example of an output of the problem information received with the information processing apparatus 10 for demonstrating operation | movement of the same problem information output device The figure which shows the modification of attribute corresponding information for demonstrating operation | movement of the same problem information output device Block diagram of a problem information output apparatus according to Embodiment 2 of the present invention Flow chart for explaining the operation of the problem information output device The figure which shows an example of the next problem response information for demonstrating operation | movement of the same problem information output device Block diagram of a modification of the problem information output device The figure which shows an example of electronic pen transmission information for demonstrating operation | movement of the modification of the same problem information output device. The figure which shows an example of the external appearance of the computer system in each embodiment of this invention The figure which shows an example of a structure of the computer system in each embodiment of this invention

  Hereinafter, embodiments of a problem information output device and the like will be described with reference to the drawings. In addition, since the component which attached | subjected the same code | symbol in embodiment performs the same operation | movement, description may be abbreviate | omitted again.

(Embodiment 1)
FIG. 1 is a block diagram of a problem information output device 1 according to this embodiment. This will be described with reference to the drawings. The problem information output apparatus according to the present embodiment determines the next problem to be output by determining the attribute of the next problem by using the information related to the learning time.

  The problem information output device 1 includes an answer correspondence information storage unit 101, an attribute correspondence information storage unit 102, a problem correspondence information storage unit 103, a problem condition correspondence information storage unit 104, a problem information acquisition unit 105, and a problem information output unit 106. Yes.

  The problem information acquisition unit 105 includes attribute determination means 1051 and problem information acquisition means 1052.

  The answer correspondence information storage unit 101 stores answer correspondence information. The answer-corresponding information includes problem identification information for identifying a problem, learning time information that is information relating to the time required for answering the problem identified by the problem identification information, and answer information for the problem identified by the problem identification information. This is information that correlates correct / incorrect information, which is information related to correctness.

  The problem may be, for example, a problem that is a minimum unit of answer or scoring (for example, “1 + 1 =”, etc.), and a problem as a set including a plurality of problems that are the minimum unit of such answer or scoring For example, it may be a test of one subject in the semester examination or a test of one subject of an entrance examination. The minimum unit for answering and scoring may be, for example, a part (for example, a part of a plurality of steps in a proof problem) up to a final answer in one question. The answer to the problem is not limited to a character string including numbers and the like, and may be information such as an image.

  The learning time information is information relating to time for learning performed using one or more problems. Learning performed using one or more problems is a concept including answering one or more problems. The learning time information is information indicating the time from the start to the end of learning performed using, for example, one or more problems. The learning time information is information including, for example, entry time information indicating an entry time of an answer to a question, and non-entry time information other than the entry time out of the time required to answer one or more questions. The time required for answering one or more questions may be considered as the time in which an answer to the question can be entered. The time required to answer one or more questions may include information on free time that does not substantially solve the problem, such as a break time. Further, the learning time information may be learning time zone information that is information about a time zone in which learning performed using one or more problems is performed, or learning date information that is information about a day. Further, the learning time information may be constituted only by these pieces of information, or may be a combination of these pieces of information.

  When the learning time information is information including entry time information and non-entry time information, for example, the answer correspondence information stored in the answer correspondence information storage unit 101 includes problem identification information for identifying a problem, and learning time. The information may be information that correlates entry time information and non-entry time information, which are information, and correct / incorrect information on the answer to the problem identified by the problem identification information. The entry time is, for example, the time required to enter an answer to a question. It may be considered as the time when data related to the answer to the question is input. The entry time information may be considered as information including the entry time of information other than the answer, or may be considered as information not included. For example, the time for entering a calculation for an answer or the time for writing a draft for an answer may be considered as the entry time. In addition, when the answer once entered is rewritten, the time required for the entry before rewriting may be added to the entry time. Specifically, the entry time information is information obtained by accumulating (for example, adding) entry times for one or more problems specified in advance. The non-entry time information is information of a time when no entry is made. Specifically, the time indicated by the learning time information may be considered as information indicating the time excluding the entry time. In addition, if the learning time information is information that can acquire the entry time information and the non-entry time information as a result, the learning time information is considered as information including the entry time information and the non-entry time information. May be. For example, learning time information is required for answering one or more questions because non-entry time information can be obtained by subtracting the entry time information from all the time required to answer one or more questions. Even when the information includes all the times and the entry time information, the learning time information may be considered as information including the entry time information and the non-entry time information.

  Further, the non-entry time information may be information including thinking time information indicating the answerer's thinking time and free time information indicating the free time. In this case, for example, the answer correspondence information stored in the answer correspondence information storage unit 101 includes problem identification information for identifying a problem, entry time information, thought time information and empty time information as non-entry time information, It may be information associating correct / incorrect information on the answer to the problem identified by the problem identification information. The time indicated by the non-entry time information can be expressed by adding the time indicated by the thinking time information and the time indicated by the idle time information. It does not have to have information. Thinking time is the time that an answerer is thinking in order to solve a problem. The free time is, for example, a time other than a time during which a problem is solved out of a time required for learning using one or more questions, and specifically, a thinking time out of a non-entry time It is time other than. The vacant time is, for example, a break time or a time when the user is out of the seat. In addition, if the non-filling time information is information that can acquire the thinking time information and the free time information as a result, the non-filling time information is considered as information including the thinking time information and the free time information. Also good. For example, since the idle time information can be obtained by subtracting the thinking time information from the time indicated by the non-filling time information, the non-filling time information includes information on the entire time when the non-filling time information is not filled. If the non-filling time information includes only the thinking time information, the non-filling time information may be considered as information including information filling time information including the thinking time information and the free time information.

  The entry time information may be any information as long as it can be known about the time required for entry. For example, the entry time information may be information indicating the entry time quantitatively (for example, 30 minutes, 1 hour, etc.), or information indicating a qualitative time (for example, “long”, “short”, etc.). There may be. Even if the learning time information is information indicating qualitative time, for example, 1 hour or more is “long”, 30 minutes or more and less than 1 hour is “medium”, and less than 30 minutes It is preferable that it is determined to be “short”. The same applies to non-entry time information, thinking time information, and free time information.

  The learning time zone information is information that can indicate a time zone in which learning performed using one or more problems is performed, for example. The learning time zone information is information that specifies the start time and end time of the time zone in which learning was performed, information that specifies one time included in the time zone in which learning was performed, and learning was performed This is information that designates an approximate time segment including the time zone. The information specifying the start time and the end time of the time zone may be information that can acquire the start time and the end time as a result. For example, “3:10 pm to 3:45 pm”, etc. It may be information indicating the learning start time and end time, or may be information configured by a combination of the learning start time and the learning continuation time. The information specifying one time included in the time zone in which learning is performed is, for example, a start time, an end time, a time intermediate between the start time and the end time, or the like. The information that designates one time included in the time zone in which learning is performed may be information that can designate one time included in the time zone in which learning is performed as a result. In addition, the information that specifies the approximate time division including the time zone in which the learning was performed is information that can specify one when the day is largely divided, for example, morning or afternoon , Information specifying time divisions such as early morning, late night, and evening. Information specifying a start time, an end time, or the like may be associated with the time segment. In addition, you may think that the time slot | zone when learning was performed is a time slot | zone when the answer about the question was performed. The learning time zone information may be information indicating a time zone during which learning (or answer) including idle time is performed. Further, the learning time zone information may further include information such as the date on which learning is performed.

  The learning date information is, for example, information indicating the number of days for which learning has been performed continuously. However, since this learning date information is information used for determining whether learning is continuously performed, for example, it is not necessary to be strictly continuous, and the number of continuous learning days that are equal to or greater than a predetermined number of days. Even when a break within a predetermined number of days is included, the number of consecutive days may be counted. Further, it may be information indicating that learning has been continuously performed for a predetermined number of days or more, or that learning has not been performed continuously for a predetermined number of days or more. Moreover, as long as it is information that can calculate the number of days in which learning has been performed continuously, it may be information relating to the date and day of the week on which learning performed using a problem has been performed.

  The correct / incorrect information may be any information as long as it can be known about the correctness of the answer. For example, the correct / incorrect information may be information indicating the number of questions and the number of correct answers, or may be information indicating the number of questions and the number of incorrect answers. Moreover, the information which shows the number of correct answers and the number of incorrect answers may be sufficient. Moreover, the information which shows a correct answer rate may be sufficient, the information which shows a wrong answer rate may be sufficient, and the information which identifies a correct answer / incorrect answer may be sufficient. Further, it may be a score (score) calculated using a score assigned to one or more correctly answered questions. Moreover, the information which shows whether this score is a value exceeding the threshold value previously assigned to one or more problems may be sufficient.

  The answer correspondence information may be information obtained by further associating the problem identification information with consciousness information that is information indicating the strength of purpose consciousness when solving the problem indicated by the problem identification information. Consciousness information is information which shows the strength of the purpose consciousness about solving problems, such as an answerer. Consciousness information may be considered as information indicating the motivation, enthusiasm, motivation, etc. of a person who solves a problem. The problem identification information may be any information as long as it can indicate the strength of purpose awareness. For example, it may be information indicating the strength quantitatively with a numerical value or the like, or information indicating the strength qualitatively such as “strong” or “weak”.

  In addition, when answering a question using an electronic pen, the answer correspondence information is one or more pieces of information related to the problem identification information and the behavior of the electronic pen used to solve the problem indicated by the problem identification information. Information that further associates electronic pen behavior information may be used. The electronic pen may be, for example, an electronic pen developed by Anoto, or may be a tablet or other type of electronic pen. The electronic pen behavior information is information indicating the detected writing pressure when the electronic pen can detect the writing pressure. The information indicating the writing pressure may be information indicating a change in the writing pressure with time, or may be information indicating the maximum value or the average value of the writing pressure. Moreover, the information which shows the moving speed of an electronic pen, the length of a stroke, etc. may be sufficient. The moving speed is acquired, for example, by dividing the amount of change in coordinates indicated by the electronic pen by the time required for the change.

  “Associating problem identification information with learning time information” means that it is only necessary to acquire the other information from one of the problem identification information and the learning time information. Therefore, the answer correspondence information may include information including the problem identification information and the learning time information as a set, or may be information that links the problem identification information and the learning time information. In the latter case, the answer correspondence information may be, for example, information that associates the problem identification information with a pointer or address indicating the position where the learning time information is stored. In the present embodiment, the former case will be described. Further, the problem identification information and the learning time information may not be directly associated with each other. For example, the third information may correspond to the problem identification information, and the learning time information may correspond to the third information. The same applies to combinations of other information in the answer correspondence information, that is, “associating problem identification information and correct / incorrect information” and “corresponding learning time information with correct / incorrect information”. The same applies when two or more pieces of information are associated with each other.

  Further, the answer correspondence information may be information for each answerer. In this case, for example, the answer correspondence information may be information that associates answerer identification information that is information for identifying the answerer, problem identification information, learning time information, and correct / incorrect information.

  The process in which the answer correspondence information is stored in the answer correspondence information storage unit 101 does not matter. For example, answer correspondence information may be stored in the answer correspondence information storage unit 101 via a recording medium, and answer correspondence information transmitted via a communication line or the like is stored in the answer correspondence information storage unit 101. Alternatively, the answer correspondence information input via the input device may be stored in the answer correspondence information storage unit 101. The storage in the answer correspondence information storage unit 101 may be a temporary storage in a RAM or the like, or may be a long-term storage. The answer correspondence information storage unit 101 can be realized by a predetermined recording medium (for example, a semiconductor memory, a magnetic disk, an optical disk, etc.).

  Here, an example of a method for acquiring the learning time information associated with the answer correspondence information will be described.

[To acquire learning time information]
The learning time information may be information obtained by manually measuring the time from the start of one learning to the end of the learning, or may be automatically measured. In the latter case, for example, in the e-learning system, when learning is started, when a learner outputs a problem, when a problem is started, when learning is completed, It is also possible to measure the time (period) such as the time when the output of is finished or the time when the answer to the question is finished, and acquire the measured time as the learning time. Further, the learning time may be acquired by acquiring each time and calculating a time difference or the like.

[When learning time information includes filling time information and non-filling time information]
The entry time may be, for example, manually measured time from the start of entry of the answer by the answerer to the end of the entry, or may be measured automatically. . In the latter case, for example, in the e-learning system, the time (period) during which the answerer inputs the answer to the question is measured, and the time obtained by accumulating the measured time is obtained as the entry time. May be. In addition, when there are a plurality of problems, a time obtained by accumulating the time when input is performed for each of the plurality of problems may be acquired as the entry time. The input time is usually a time during which an input signal for an answer column or the like is input from an input device or the like. Even if the input signal from the input device is interrupted, if the time interval until the next input signal is input is equal to or less than the time specified in advance, the input is not completed and the input is not completed. It may be determined that it continues. For example, when input is performed with a keyboard, electronic pen, etc., even if the input is interrupted for several seconds, for example, the interrupted time is less than a predetermined time, and input is performed immediately thereafter The interruption time may also be measured as the entry time. In addition, about the predetermined time described here, for example, it may be specified for each answerer, or may be specified for each question to be answered. The designation by problem may mean designation by problem group, for example, designation by problem field. The information specifying these times may be transmitted from the problem information output device 1 or the like in association with the problem information or the like, for example. This also applies to information specifying a time used when detecting non-filling time, thinking time information, vacant time information, and the like described below. In addition, when the input device is an electronic pen or the like, a threshold for information obtained from the electronic pen, such as a moving distance or Information indicating conditions such as threshold values for writing pressure and the like may also be specified for each answerer and each question information.

  The non-entry time may be, for example, a time measured manually by the answerer within the time from the start to the end of the answer to the question and the end of the answer, or automatically. It may be measured automatically. In the latter case, for example, in the e-learning system, the time from when the question is presented to the answerer until the time when the input of the answer to the question is completed is not input. And the time obtained by accumulating the measured time may be acquired as the answer time. In addition, when there are a plurality of problems, the time obtained by accumulating the times when the input is not performed and obtained for each of the plurality of problems may be acquired as the entry time. Further, the time obtained by subtracting the above-described entry time from the time from when the question is presented to the answerer to when the input of the answer to the question is completed may be set as the non-entry time.

  In the e-learning system or the like, the input of the answer from the answerer may be input using any input device such as a keyboard, a mouse, and an electronic pen. The electronic pen may be, for example, an electronic pen developed by Anoto, or a tablet or other type of electronic pen. In the electronic pen, the presence or absence of input can be determined by a change in coordinates of the position indicated by the electronic pen.

  Note that the entry time information and the non-entry time information described above may be information created in the problem information output apparatus 1 or information created outside the problem information output apparatus 1.

  For example, a terminal device (not shown) such as an e-learning system used by the answerer acquires the entry time information or the non-entry time information by the processing as described above and transmits it to the question information output device 1. It may be.

  In addition, information such as the time when input was performed by a terminal device (not shown) such as an e-learning system used by the respondent, and real-time information indicating that the input is being performed are problems. The problem information output device 1 that is transmitted to the information output device 1 and has received the information by a receiving unit (not shown) or the like uses the information to enter entry time information or non-entry time information by a processing unit (not shown). Etc. may be created.

[When non-entry time information includes thinking time information and free time information]
The thinking time information may be, for example, information obtained by manually measuring the time during which the answerer is thinking about solving a problem without entering the answer. Or what was measured automatically may be used. In the latter case, for example, in an e-learning system, the time from when an answerer starts answering a question or presenting a question to the answerer until input for answer entry is started ( If the measured time is less than a predetermined time specified in advance for a problem or the like, it is measured as a thinking time. Moreover, when there are a plurality of problems, the time obtained by accumulating the thinking time acquired for each of the plurality of problems may be acquired as the thinking time. The start time of the answer may be determined according to, for example, a start instruction by the user. When one question includes a plurality of questions, the completion of answer entry for one question included in one question may be determined as the answer start of the next question.

  Further, the idle time information may be, for example, manually measured time when the answerer is not writing an answer or thinking about solving the problem. Or what was measured automatically may be used. In the latter case, for example, the time (period) from when the answerer starts answering the question or presenting the answer to the answerer until input for answer entry is started is measured. If the measured time is longer than a predetermined time specified in advance for the problem or the like, the time is measured as a free time. Alternatively, a time obtained by subtracting the thinking time indicated by the thinking time information from the non-writing time indicated by the non-writing time information may be acquired as a free time. In addition, the time from when the answerer operates a menu or button for interrupting the answer until the answer or the menu or button is operated until the answer is resumed may be acquired as a free time.

  The thinking time information and the idle time information described above may be information created in the problem information output device 1 or information created outside the problem information output device 1.

[When learning time information includes learning time zone information]
The learning time zone information may be, for example, manually measured time zones from when an answerer starts answering a question to when it ends, or automatically measured time zone information. Also good. For example, when measuring automatically, information on the time when the problem was presented to the answerer and information on the time when the answer of the problem was completed by the answerer, application software such as a clock, e-learning system that provides the problem, etc. It may be obtained from an NTP server or the like by using a server or NTP (Network Time Protocol) or the like. The learning time zone information may be information obtained by measuring one time in a time zone from when an answerer starts answering a question to when it ends. In addition, information on the start time and end time for each time division such as early morning, evening, and midnight prepared in advance, information on the time when the problem was presented to the answerer, and the time when the answer of the question by the answerer ended Even if the information indicating the time division including the information on the time when the answer is presented to the answerer and the information on the time when the answer of the answer is completed is acquired as the learning time zone information good.

  Note that the learning time zone information described above may be information acquired within the problem information output device 1 or information acquired outside the problem information output device 1.

[When learning time information includes learning date information]
The learning date information may be, for example, information obtained about the day when the answerer answers the question manually or may be obtained automatically. For example, in the case of automatic acquisition, information such as the date and day of the week when the problem is presented to the answerer, application software such as a clock, server such as an e-learning system that provides the problem, NTP (Network Time Protocol) ) Etc. may be obtained from an NTP server or the like. In addition, when the learning date information is information indicating the number of days in which the answer to the question has been continuously performed, the answers are continuously obtained from records, log information, history information, etc. that indicate the date when the answer was acquired in the past. Then, the number of days being performed is counted, and information indicating the count result is acquired as learning date information. In addition, when counting the number of consecutive days, the date and day of the week specified in advance may be excluded from the count target whether or not the answer has been made.

  Note that the learning time zone information described above may be information acquired within the problem information output device 1 or information acquired outside the problem information output device 1.

  Next, an example of a method for acquiring electronic pen behavior information included in the answer correspondence information will be described.

  When the electronic pen behavior information is, for example, information indicating the writing pressure of the electronic pen, for example, the writing pressure of the electronic pen operated when the user answers the problem in a terminal device of an e-learning system (not shown). The information to be shown is acquired via electronic pen driver software or the like. The information indicating the writing pressure may be information on all the writing pressures of the electronic pen acquired at regular or predetermined timing. Moreover, the maximum value or average value of writing pressure may be sufficient. The acquired writing pressure information is transmitted to the problem information output device 1. In addition, the process which acquires a maximum value, an average value, etc. from the information which shows the pen pressure acquired from the electronic pen may be performed by the problem information output apparatus 1, or may be performed by a terminal device (not shown).

  In addition, when the electronic pen behavior information is information indicating the speed of the electronic pen, the speed of movement of the electronic pen is calculated from the amount of change in the position indicated by the electronic pen and the time information required for the change. Can do. The change amount of the position of the electronic pen can be calculated by a change in coordinates of the position indicated by the electronic pen. Note that the speed of movement of the electronic pen may be calculated by the problem information output device 1 or a terminal device (not shown).

  Next, an example of a method for acquiring correct / incorrect information, answerer identification information, and problem identification information included in the answer correspondence information will be described.

  Correct / incorrect information may be, for example, information obtained by manually scoring an answerer's answer, or information obtained by automatically scoring an answer input using the above-described input device or the like. There may be. In addition, the answerer identification information may be, for example, the user ID input to the e-learning system by the answerer at the time of login or at the start of the answer, or manually to create the answer correspondence information. It may be information such as the input user name. For example, the problem identification information may be obtained by identifying the problem presented to the answerer by the e-learning system, or manually inputted to create the answer correspondence information. It may be information.

  The attribute correspondence information storage unit 102 stores attribute correspondence information. The attribute correspondence information is information that associates the problem identification information with attribute information that is information indicating the attribute of the problem identified by the problem identification information. For example, the attribute information may be information indicating the difficulty level of the problem, or may be information indicating the learning progress stage of the problem. The information indicating the difficulty level of the problem is, for example, information indicating the difficulty level of the problem in numbers (for example, 1, 2, 3,...). The higher the number, the higher the difficulty level. It may be high (difficulty may be high), and may be information (for example, high, medium, low, etc.) indicating the difficulty of the problem in text. The problem learning progress stage is information indicating an attribute in a case where it is recommended to solve a problem of another attribute after solving a problem of a certain attribute. The learning progress stage of the problem may be, for example, the type of problem (for example, basic problem, applied problem, calculation problem, sentence problem, etc.), and the problem area (for example, rectangular area, trapezoid area, differentiation, Integration) or other information indicating the progress of learning. The information indicating the learning progress stage of the problem is, for example, information indicating the learning progress stage of the problem in numbers (for example, 1, 2, 3,...). The smaller the number, the more advanced the learning progress stage may be) and the information indicating the learning progress stage of the problem in text (for example, basic problem, applied problem, etc. as described above) Also good. When the difficulty level of the problem and the learning progress stage of the problem are indicated by text, information indicating rules regarding the difficulty level and the degree of the learning progress stage indicated by the text may be set. For example, a rule that the difficulty level increases in the order of difficulty “low”, “medium”, and “high” may be set, and the learning progress stage proceeds in the order of the learning progress stage “basic problem” “application problem”. The rule that the learning progress stage proceeds may be set in the order of “calculation problem” and “sentence problem”, and the learning progress stage “rectangular area” “triangular” A rule may be set in which the learning progress stage proceeds in the order of "area", "parallelogram area", and "trapezoid area". The attribute information may include information indicating the order of problem progress. The information indicating the progression order of the questions is information for indicating the order in which the questions are presented or selected. For example, a numerical value (for example, 1, 2, 3) or a date (for example, specifying the order in which the questions are advanced) For February 8 and February 9). For example, after the problem with the corresponding progress order information “1”, the problem with the corresponding progress order information “2” is selected. Further, the attribute information may be an evaluation index for the answer of the answerer as described later.

  The process of storing attribute correspondence information in the attribute correspondence information storage unit 102 does not matter. For example, attribute correspondence information may be stored in the attribute correspondence information storage unit 102 via a recording medium, and attribute correspondence information transmitted via a communication line or the like is stored in the attribute correspondence information storage unit 102. Alternatively, the attribute correspondence information input via the input device may be stored in the attribute correspondence information storage unit 102. The storage in the attribute correspondence information storage unit 102 may be temporary storage in a RAM or the like, or may be long-term storage. The attribute correspondence information storage unit 102 can be realized by a predetermined recording medium (for example, a semiconductor memory, a magnetic disk, an optical disk, etc.).

  The problem handling information storage unit 103 stores problem handling information. The problem correspondence information is information that associates problem identification information with problem information that is information indicating a problem identified by the problem identification information. The answerer answers the question indicated by the question information.

  The process in which the problem handling information is stored in the problem handling information storage unit 103 does not matter. For example, the problem handling information may be stored in the problem handling information storage unit 103 via a recording medium, and the problem handling information transmitted via a communication line or the like is stored in the problem handling information storage unit 103. Alternatively, the problem handling information input via the input device may be stored in the problem handling information storage unit 103. The storage in the problem correspondence information storage unit 103 may be a temporary storage in a RAM or the like, or may be a long-term storage. The problem correspondence information storage unit 103 can be realized by a predetermined recording medium (for example, a semiconductor memory, a magnetic disk, an optical disk, or the like).

  The problem condition correspondence information storage unit 104 stores problem condition correspondence information. The problem condition correspondence information includes the problem identification information, the learning time information, the entry time, the non-entry time, the thinking time, the vacant time correct / incorrect information, the learning time zone information, the learning date information for the problem identified by the problem identification information, And condition information which is information indicating a condition for at least one of electronic pen behavior information and the like. Condition information includes at least two or more combinations of learning time information, entry time, non-entry time, thinking time, free time correct / incorrect information, learning time zone information, learning date information, consciousness information, electronic pen behavior information, etc. Information indicating conditions may be used. The problem condition correspondence information includes, for example, answer correspondence information among learning time information, entry time, non-entry time, thinking time, free time correctness information, learning time zone information, learning date information, electronic pen behavior information, etc. The condition information corresponding to the information associated with the problem identification information is stored.

  The condition information is, for example, information indicating a time such as a filling time, a non-filling time, a thinking time, and a free time required when a standard answerer answers the problem indicated by the corresponding problem identification information. The condition information may be, for example, an optimum value calculated for a plurality of respondents, an average value of entry times, a median value, a standard value, or the like. The condition information includes the optimal value set according to the ability of one answerer who is the output destination of the next question, the past average value, median value, standard value, etc. of the one answerer in advance. It may be set information. The condition information may include information quantitatively indicating the time included in the condition (for example, 30 minutes, 1 hour, etc.), and information indicating the time qualitatively (for example, “long”, “short”, etc.) ) May be included. In addition, the value included in the condition information may be a fixed value, a value that dynamically changes according to the answer situation, and the like. Further, the condition information may be information for determining whether or not the answerer's motivation or the like, the behavior of the electronic pen at the time of answering, or the like are appropriate.

  The condition information about the entry time, the non-entry time, the thinking time, the free time, etc., for example, a threshold value such as “within 14 minutes” or “10 minutes or more”, and the threshold value satisfies the condition. It is a combination with information indicating whether the value indicates a lower limit value or a value indicating an upper limit value. The condition information about correct / incorrect information includes conditions using information identifying correct / incorrect such as “correct answer” and “incorrect answer”, and correct answer numbers such as “10 or more correct answers” and “correct answer rate is 50% or more”. Information specifying the conditions using values such as the number of frauds, the correct answer rate, the incorrect answer rate, and the like, and the result of scoring the answer to a question such as “70 points or more”. Condition information about learning time zone information includes information specifying conditions using time categories such as “midnight” and “other than early morning”, “time zone from 11 pm to 7 am”, and time zone including 6 pm ”Or the like is information specifying a condition using time information such as“ ”. In addition, the condition information about the learning day information is information that specifies whether or not a condition using a number of days such as “5 or more consecutive days” or a pre-specified day such as “match with a specified day of the week” is matched. Etc. The condition information about the consciousness information is, for example, a condition using information indicating the presence or absence of consciousness information indicating a specific consciousness such as “I am motivated” or a value indicating the degree of consciousness. The condition information about the electronic pen behavior information includes conditions using values such as “writing pressure is 5 or more”, “speed is 2 or more”, “strong writing pressure”, “slow speed”, etc. Information indicating conditions using qualitative information.

  Further, the problem condition correspondence information is information for specifying a rule such as what rule is specified as an attribute of the next problem depending on whether or not the condition indicated by the condition information is satisfied. The information may be information that associates the problem identification information with the condition information. The problem selection information may be considered as information indicating a correspondence relationship between a determination result whether the condition indicated by the condition information is satisfied and an attribute of the next problem determined according to the determination result. For example, when the learning time information corresponding to the problem identification information satisfies the conditions indicated by the condition information, the problem selection information increases or decreases the difficulty level of the next problem by a predetermined rank (for example, one rank). Information indicating rules such as to do, rules to determine whether or not to proceed to the next field, etc., or an evaluation index to determine whether to increase the difficulty of the next problem Information such as increasing or decreasing a point by a predetermined point (for example, 1 point) may be used. In addition, when there is no problem selection information, the problem information acquisition unit 105 to be described later determines the next problem according to whether the condition indicated by the condition information is satisfied in accordance with, for example, a rule specified in advance. The attribute may be determined.

  The process in which the problem condition correspondence information is stored in the problem condition correspondence information storage unit 104 does not matter. For example, the problem condition correspondence information may be stored in the problem condition correspondence information storage unit 104 via a recording medium, and the problem condition correspondence information transmitted via a communication line or the like is stored in the problem condition correspondence information storage unit. The problem condition correspondence information input via the input device may be stored in the problem condition correspondence information storage unit 104. The storage in the problem condition correspondence information storage unit 104 may be a temporary storage in a RAM or the like, or may be a long-term storage. The problem condition correspondence information storage unit 104 can be realized by a predetermined recording medium (for example, a semiconductor memory, a magnetic disk, an optical disk, or the like).

  The problem information acquisition unit 105 uses the learning time information associated with the answer correspondence information and the correct / incorrect information, and uses the learning time information and the problem identification information associated with the correct / incorrect information to indicate the next problem. Problem identification information indicating a problem to be output is acquired, and problem information corresponding to the problem identification information is acquired. Note that using the entry time information, the non-entry time information, the thinking time information, the vacant time, and the learning time zone information may be considered as using the learning time information here. The problem information acquisition unit 105 acquires problem information according to the entry time information and the non-entry time of the learning time information, particularly when the learning time information includes entry time information and non-entry time information. May be. Further, the problem information acquisition unit 105 responds to the thinking time information and the free time information in the learning time information, particularly when the non-filling time of the learning time information includes the thinking time information and the free time information. The problem information may be acquired. Or you may make it acquire problem information according to the entry time and thought time of learning time information. In addition, even when problem information is acquired according to a part of filling time information and non-writing time, for example, thinking time information, here, problem information is acquired according to filling time information and non-writing time. You may think. Further, the problem information acquisition unit 105, in particular, when the non-entry time of the learning time information includes thinking time information and / or free time information, the thinking time information and / or free time information in the learning time information It may be considered that acquiring the problem information according to the is acquiring the problem information according to the non-filling time information. Further, the problem information acquisition unit 105 considers that the problem information is acquired according to the correct / incorrect information and the learning time zone information of the learning time information, particularly when the learning time information includes the learning time zone information. May be. Moreover, you may acquire problem information according to the combination with other information contained in learning time information, such as learning time slot | zone information and learning date information.

  Further, when the consciousness information is associated with the problem identification information or the like in the answer correspondence information, the problem information acquisition unit 105 acquires the problem information according to the correctness information and the learning time information according to the consciousness information. Also good. As described above, the learning time information in this case may be considered as entry time information, non-entry time information, thought time information, idle time, and learning time zone information. When the electronic pen behavior information is associated with the problem identification information or the like in the answer correspondence information, the problem information acquisition unit 105 acquires the problem information according to the learning time information, the correct / incorrect information, and the electronic pen behavior information. You may make it do. As described above, the learning time information in this case may be considered as entry time information, non-entry time information, thought time information, idle time, and learning time zone information. Further, the problem information may be acquired according to the learning time information, the correct / incorrect information, the electronic pen behavior information, and the consciousness information. In addition, the problem information according to a combination of two or more of entry time information, non-entry time information, thinking time information, idle time, learning time zone information, consciousness information, and electronic pen behavior information other than those described here. You may make it acquire.

  Here, a case where the problem information acquisition unit 105 acquires problem information using the attribute determination unit 1051 and the problem information acquisition unit 1052 will be described as an example.

  The problem information acquisition unit 105 can be usually realized by an MPU, a memory, or the like. The processing procedure of the problem information acquisition unit 105 is usually realized by software, and the software is recorded in a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

  The attribute determination unit 1051 determines the attribute of the problem to be output next using the learning time information and the correct / incorrect information. In particular, by using a combination of at least one of the entry time information, non-entry time information, thinking time information, free time information, learning time zone information, and learning date information included in the learning time information and correct / incorrect information The attribute of the problem to be output may be determined. Further, the attribute of the problem to be output next may be determined by using a combination of these and at least one combination of the consciousness information and the electronic pen behavior information. Here, learning time information, entry time information included in the learning time information, non-entry time information, thinking time information, free time information, learning time zone information, learning date information, correctness information, consciousness information, The electronic pen behavior information is called learning related information. The learning related information is, for example, information related to learning using a problem corresponding to the problem identification information. Moreover, the attribute of the problem to be output next is determined using a value such as a ratio calculated using a combination of two or more of the above learning-related information, such as a combination of learning time information and entry time information. This may be considered as determining the attribute of the problem to be output next by using at least two or more combinations of learning related information. For example, the attribute determination unit 1051 includes learning time information and correct / incorrect information associated with the answer correspondence information, and attribute information associated with the learning time information and the problem identification information associated with the correct / incorrect information. To determine the attribute of the problem to be output next. This determination may be, for example, deciding on an attribute that advances, deciding on the same attribute, or deciding on an attribute that moves backward. Advance, same, or backward refers to the attribute of the problem indicated by the problem being judged, that is, the problem identification information associated with the answer correspondence information. The attribute of the problem that is the object of this determination may be singular or plural. “Progress” means, for example, that the degree of difficulty is high when the attribute information is information indicating the difficulty level, and the learning is performed when the attribute information is information indicating the learning progress stage. The progress stage is to advance. “Same” means that, for example, when the attribute information is information indicating the difficulty level, the difficulty level is the same, and when the attribute information is information indicating the learning progress stage, the learning is performed. The progress stage is the same. Also, “retreat” means that, for example, when the attribute information is information indicating the difficulty level, the difficulty level is lowered, and when the attribute information is information indicating the learning progress stage, the learning is performed. The progress stage is to go back.

  Here, an example of a method in which the attribute determining unit 1051 determines the attribute of the next problem will be described. In each variation, information used for attribute determination and a determination method will be described.

[(A) When learning evaluation information is acquired using learning-related information such as learning time information and correct / incorrect information to determine the attribute of the next problem]
The attribute determination means 1051 includes learning time information (this learning time information is referred to as learning time information (A)) and correct / incorrect information (this correct / incorrect information is referred to as correct / incorrect information (B)) associated with the answer correspondence information. And consciousness information (this consciousness information is assumed to be consciousness information (D)) and electronic pen behavior information (this electronic pen behavior information is assumed to be electronic pen behavior information (E)). Here, in particular, as an example, the learning time information includes entry time information (this entry time information is referred to as entry time information (A1)) and thought time information (this thought time information is thought time information ( A21)), vacant time information (this vacant time information is referred to as vacant time information (A22)), time zone information (this time zone information is referred to as time zone information (A3)), and learning date information (This learning date information is referred to as learning date information (A4)). Instead of specifying the thinking time information (A21) and the free time information (A22), non-filling time information (this non-filling time information is referred to as non-filling time information (A2)) may be specified. good. Further, the attribute determination unit 1051 specifies problem identification information (Q) associated with the specified learning time information (A) and correct / incorrect information (B) by the answer correspondence information. Then, the attribute determination unit 1051 specifies attribute information (this attribute information is attribute information (C)) associated with the identified problem identification information (Q) by the attribute correspondence information. The attribute determination means 1051 uses these learning time information (A), correct / incorrect information (B), attribute information (C), consciousness information (D), and electronic pen behavior information (E) to determine the attribute of the next problem. Determine the evaluation index to determine.

  The evaluation index described here is, for example, an index for evaluating the answer result of the answerer for the problem corresponding to the problem identification information (Q). When the evaluation index is a numerical value such as a score, it may be considered as an evaluation index. The evaluation index is information used for determining the difficulty level of the next problem and the next learning progress stage, for example. The evaluation index may be information that can determine attribute information of the next problem, for example. Depending on the value indicated by the evaluation index, for example, the attribute of the next problem progresses more than the attribute indicated by the attribute information (C) (for example, higher difficulty level or next learning progress stage), attribute information (C) The same attribute (for example, the same difficulty level or the same learning progress stage) than the attribute indicated by the attribute, or an attribute (for example, a lower difficulty level or a previous learning progress stage) than the attribute indicated by the attribute information (C) Determined). The evaluation index may be information indicating the difficulty level of the problem and the next learning progress stage. Note that the evaluation index does not necessarily have to be a numerical value, and may be, for example, information specifying the attribute of the next problem, for example, information such as “difficulty level: high”.

  If learning time information (A), correct / incorrect information (B), attribute information (C), consciousness information (D), and electronic pen behavior information (E) can be specified as a result, The specific method is not ask | required. For example, first, one piece of problem identification information (Q) is specified, and learning time information (A) and right / wrong information (B) associated with the one piece of problem identification information by the answer correspondence information are specified. The attribute information (C) associated with the problem identification information by the attribute correspondence information may be specified.

  In addition, when the answer correspondence information includes information of a plurality of respondents, the learning time information (A), correct / incorrect information (B), attribute information (C), and consciousness information ( D) Processing for specifying electronic pen behavior information (E) may be performed. That is, the above-described learning time information (A), correct / incorrect information (B), attribute information (C), consciousness information (D), and electronic pen behavior information (E) are specified for one answerer. The above-described learning time information (A), correct / incorrect information (B), attribute information (C), consciousness information (D), and electronic pen behavior information (E) are specified for each of the plurality of respondents. Processing may be performed.

  Next, the attribute determination unit 1051 reads the condition information corresponding to the problem identification information (Q) from the problem condition correspondence information storage unit 104 and temporarily stores it in a storage medium such as a memory.

  The attribute determination means 1051 includes the entry time information (A1), the thinking time information (A21), the idle time information (A22), the time zone information (A3), the learning date information (A4), and the correct / incorrect information (specified) as described above. B) Consciousness information (D) and electronic pen behavior information (E) are compared with the condition information corresponding to each of them included in the read condition information to determine whether the condition is satisfied. For example, if the entry time information (A1), the thinking time information (A21), and the vacant time information (A22) are information indicating values representing time, the time values indicated by these are respectively It is determined whether or not it is less than the time indicated by the corresponding condition information. Then, it is determined that the condition that is less than the time is satisfied, and the condition that is more than the time is determined that the condition is not satisfied. Further, for example, regarding the time zone information (A3), when a part of the time zone indicated by the time zone information (A3) is included in the time zone indicated by the corresponding condition information, it is determined that the condition is satisfied and is not included. If it is determined that the condition is not met. Further, if the learning date information (A4) is information indicating continuous learning days, if the number of days indicated by the learning date information (A4) is greater than or equal to the number of days indicated by the condition information corresponding to the learning date information, the condition If it is not more than the number of days, it is determined that the condition is not satisfied. As for consciousness information (D), if the value indicated by the consciousness information, for example, “motivated” or the like matches the value indicated by the condition information corresponding to the consciousness information, it is determined that the condition is satisfied and does not match. In this case, it may be determined that the condition is not satisfied. Alternatively, when the consciousness information is a value indicated by a score or the like, whether or not the condition is satisfied may be determined depending on whether or not the value indicated by the condition information is exceeded. Also, if the electronic pen behavior information (E) is a value indicating, for example, writing pressure, the moving speed of the electronic pen, the stroke of the electronic pen, etc., the value indicated by the electronic pen behavior information (E) is the condition information It may be determined that the condition is satisfied when the value is equal to or greater than the value indicated, and may be determined that the condition is not satisfied when the value is less than the value.

  The attribute determination unit 1051 determines an evaluation index using a comparison result with the condition information. For example, the attribute determination means 1051 includes entry time information (A1), thinking time information (A21), free time information (A22), time zone information (A3), learning date information learning date information (A4), and correct / incorrect information (B ), Consciousness information (D), and electronic pen behavior information (E) that satisfy the condition indicated by the condition information may be counted, and the count result may be used as the value of the evaluation index. Further, a ratio of information that satisfies the condition for the entire information obtained by dividing the count result by the number of information may be used as an evaluation index. In addition, it is determined whether the number of satisfying conditions and the number of not satisfying the conditions are included in a range of a plurality of values prepared in advance, and the evaluation index associated with the range determined to be included You may get For example, if there are eight pieces of information compared with the condition information, the evaluation index “5” is satisfied when all of the eight information satisfy the condition, and the evaluation index when six or more and less than eight satisfy the condition. “4”, when 3 or more and less than 6 satisfy the condition, evaluation index “3”, when 1 or more and less than 3 satisfy the condition, evaluation index “2”, when there is no condition May acquire the evaluation index “1”, respectively. Note that the evaluation index is not limited to a numerical value, and may be an index such as a character string such as “excellent”, “good”, and “impossible”, for example.

  In addition, the attribute determination unit 1051 includes the entry time information (A1), the thinking time information (A21), the free time information (A22), the time zone information (A3), the learning date information (A4), A plurality of evaluation indices may be determined by combining the determination results as to whether or not the conditions indicated by the condition information for each of the information (B), the consciousness information (D), and the electronic pen behavior information (E) are satisfied. . For example, the attribute determination unit 1051 includes the entry time information (A1), the thinking time information (A21), the free time information (A22), the time zone information (A3), and the electronic pen behavior information ( Using the determination result of E), an evaluation index related to concentration can be obtained by counting those satisfying the above conditions. Of the above judgment results, the judgment conditions of entry time information (A1), thought time information (A21), free time information (A22), and correct / incorrect information (B) are used to satisfy the above conditions. You may acquire the evaluation parameter | index regarding the cognitive power about learning content by counting things. Further, by using the determination results of the entry time information (A1) and the electronic pen behavior information (E) among the above determination results, the number of items satisfying the above conditions is counted, so that the learning endurance. You may obtain an evaluation index about force. In addition, learning is made habitual by counting items satisfying the above conditions using the determination results of the time zone information (A3) and the learning date information (A4) among the above determination results. An evaluation index relating to whether or not it has been performed may be acquired. Of the above judgment results, entry time information (A1), thinking time information (A21), vacant time information (A22), time zone information (A3), correct / incorrect information (B), consciousness information (D), In addition, by using the determination result of the electronic pen behavior information (E), the evaluation index related to the physical condition of the answerer may be acquired by counting those satisfying the above conditions. Note that a final evaluation index may be acquired using such a plurality of evaluation indexes. For example, the sum of the plurality of evaluation indexes may be acquired as the final evaluation index, or the average value of the plurality of evaluation indexes may be acquired as the final evaluation index. Further, a total of values obtained by multiplying the plurality of evaluation indexes by a value indicating a weight specified in advance for each evaluation index may be acquired as a final evaluation index. One piece of information indicating weighting may be prepared for a plurality of answerers or a group composed of a plurality of answerers, or may be prepared individually for each answerer. For example, information indicating weighting is stored in a storage medium (not shown) in association with, for example, an answerer, a plurality of answerers, or a group of answerers, and the weighting corresponding to the answerer of the problem is indicated. Information may be read out. Also, one piece of information indicating weighting may be prepared for a plurality of problems or a group composed of a plurality of problems, or may be facilitated individually for each problem. For example, information indicating weighting for each problem area may be prepared. For example, information indicating weighting is stored in a storage medium (not shown) in association with, for example, a problem, a plurality of problems, or a group of problems, and information indicating weighting according to a problem to be evaluated May be read out.

  Then, the attribute determination unit 1051 determines the attribute of the next problem using the determined evaluation index and the attribute indicated by the attribute information (C). For example, when the evaluation index is a numerical value, the attribute of the next problem corresponding to the range of the value to which the numerical value belongs is determined using the attribute indicated by the attribute information (C). For example, assuming that the evaluation index is numerical information indicating that the higher the value is, the higher the comprehension level of the answerer is about the problem, or the motivation for learning, the evaluation index is designated in advance. If it is within the range of the specified value, the attribute of the next question is determined to be the same attribute (for example, the same difficulty level or the same learning progress stage) as the attribute of the previous question indicated by the attribute information (C). When the evaluation index is a value higher than the range of values designated in advance, the attribute of the next problem is an attribute that progresses more than the attribute indicated by the attribute information (C) (for example, higher difficulty level, The learning progress stage) may be determined. Further, when the evaluation index is a value lower than the range of values designated in advance, the attribute of the next problem is set to an attribute (for example, a lower difficulty level or a previous level) than the attribute indicated by the attribute information (C). The learning progress stage) may be determined. It should be noted that information for specifying a value range necessary for obtaining the next problem attribute from the evaluation index is stored in advance in the problem condition correspondence information storage unit 104 or a storage unit (not shown). do it.

  When the evaluation index itself is information indicating the relative relationship of the attribute to be selected next with respect to the attribute indicated by the attribute information (C), the attribute of the next problem is set as the attribute indicated by the attribute information (C). Alternatively, the attribute may be determined as changed by the evaluation amount indicated by the evaluation index. For example, when the evaluation index is information indicating an attribute having an advanced relationship with respect to the attribute indicated by the attribute information (C), for example, information such as “advance” or “difficulty level: high”, attribute determination The means 1051 may determine the attribute of the next problem as an attribute that progresses with respect to the attribute indicated by the attribute information (C) (for example, a higher difficulty level or a next learning progress stage). Further, when the evaluation index is information indicating the same attribute with respect to the attribute indicated by the attribute information (C), for example, “no change” or “difficulty level: same as current”, the attribute determination unit 1051 may determine the attribute of the next problem to be the same attribute (for example, the same difficulty level or the same learning progress stage) with respect to the attribute indicated by the attribute information (C). Further, for example, when the evaluation index is information indicating an attribute having a backward relationship with respect to the attribute indicated by the attribute information (C), for example, information such as “backward” or “difficulty level: low”, The attribute determination unit 1051 may determine the attribute of the next problem as an attribute that moves backward with respect to the attribute indicated by the attribute information (C) (for example, a lower difficulty level or a previous learning progress stage). When the evaluation index is one of the attributes, the acquired evaluation index may be determined as the attribute or part of the attribute of the next problem. For example, if the acquired evaluation index is “1”, the attribute including the evaluation index “1” is determined as the attribute of the next problem.

  Here, the case has been described where the attribute of the next problem is determined from the attributes of three different levels determined with respect to the attribute indicated by the attribute information (C). If it is a stage, you may make it determine the attribute of the next problem from the attribute of the level of different steps. In this case, for example, a plurality of different value ranges may be prepared in advance, or the attribute of the next level may be determined from a plurality of attributes according to the evaluation index.

  Also, here, entry time information (A1), thinking time information (A21), idle time information (A22), time zone information (A3), learning date information (A4), correct / incorrect information (B), awareness information (D ) And the case where the evaluation index is acquired using the electronic pen behavior information (E), the evaluation index may be acquired by using only two or more of them. However, it is preferable to use information including at least one or more pieces of information included in the learning time information and correct / incorrect information (B). Further, as described above, the non-filling time information (A2) may be used instead of or separately from the thinking time information (A21) and the free time information (A22).

  In addition, information such as the above-described weighting values and what kind of weighting is performed is stored in advance in a storage medium such as the problem handling information storage unit 103, the problem condition correspondence information storage unit 104, or a storage unit (not shown). You can keep it. Further, the weighting value or the like may be stored in association with the problem identification information or the condition information. When determining the evaluation index or the like, the problem identification indicating the problem for which the evaluation index is determined Information indicating a weight value directly or indirectly associated with information or condition information used for judgment is read, and the weight value indicated by the read information is used when determining an evaluation index. It may be. As a result, it is possible to perform weighting according to the problem, the problem field, the problem classification, and the like, and an appropriate evaluation index can be obtained.

  In addition, here, a case has been described in which the evaluation index is determined by counting the number of pieces of learning-related information satisfying the condition indicated by the condition information or adding the weighting value associated with the condition satisfying the condition information. As a result, this processing converts learning-related information into a binary score of “1” or “0” depending on whether or not the condition indicated by the condition information is satisfied, and the sum of the scores or the score is converted into the score. You may think that it is the process which determines the attribute of the next problem according to the value which added the value obtained by multiplying the weight value matched with each learning related information.

  Furthermore, in the present embodiment, the attribute determination unit 1051 converts each learning related information into a score of binary or higher depending on whether or not the plurality of learning related information satisfy the conditions indicated by the corresponding condition information. Then, the total value of the scores obtained by the conversion or the sum of the values obtained by multiplying the scores by the weighting values associated with the respective learning related information is obtained as the evaluation index. May be. In addition, when converting to a score of three or more values, for example, using a plurality of threshold values, the ternary value is determined by determining the vertical relationship between each threshold value and the value indicated by the learning related information. You may change to the above score. Further, the learning-related information may be standardized, and a value obtained by standardization may be used as a score of three or more values.

[(B) A case where an attribute is determined by a combination of learning-related information such as learning time information and correct / incorrect information and the condition indicated by the condition information]
The learning time information (A), correct / incorrect information (B), and attribute information (C) associated by the answer correspondence information are specified in the same manner as described above. The attribute determining unit 1051 determines the attribute of the next problem using the learning time information (A), the correct / incorrect information (B), the attribute information (C), and the condition information. The method for determining the attribute in question will be described below.

  In addition, when the information of a plurality of respondents is included in the answer correspondence information, the process of specifying the above-described learning time information (A), correct / incorrect information (B), and attribute information (C) for each answerer May be performed. That is, the above-mentioned learning time information (A), correct / incorrect information (B), and attribute information (C) may be specified for one answerer. Processing for specifying the learned learning time information (A), correct / incorrect information (B), and attribute information (C) may be performed.

[(1) When study time information includes entry time information and non-entry time information]
Hereinafter, with respect to a method of determining the attribute of the next problem using the learning time information (A), the correct / incorrect information (B), and the attribute information (C), the learning time information (A) is different from the entry time information (A1). An example in which the entry time information (A2) is included will be described. Note that specifying the learning time information (A) described above may be considered as specifying the entry time information (A1) and the non-entry time information (A2).

  The attribute determination unit 1051 includes condition information of entry time information (A1), condition information of non-entry time information (A2) included in the condition information associated with the problem identification information (Q), and correct / incorrect information (B). Get the condition information. The entry time information (A1), the non-entry time information (A2), and the correct / incorrect information (B) include the corresponding condition information, that is, the condition information of the entry time information (A1) and the non-entry time information (A2). It is determined whether or not the condition information and the condition information of the correct / incorrect information (B) are satisfied. Then, the attribute of the problem information to be output next is determined according to the combination of the determination results. Note that what attributes are determined according to the result of the combination of determination results may be specified in advance, or as described above associated with each problem identification information (Q) by the problem condition correspondence information. It is only necessary to read out information for selecting a problem, etc., and to follow a rule or a determination processing procedure specified in advance by the information for problem selection. The same applies to other combinations of determination results.

  For example, the entry time indicated by the entry time information (A1) is shorter than the time indicated by the condition information of the entry time information (A1) that is the corresponding condition information, and the non-entry time indicated by the non-entry time information (A2) is: The condition information of the correct / incorrect information (B), which is the corresponding condition information, is shorter than the time indicated by the condition information of the non-entry time information (A2), which is the corresponding condition information, and the score and correct answer rate indicated by the correct / incorrect information (B). If it is higher than the score or correct answer rate indicated by, it is considered that the problem corresponding to the problem identification information (Q) has been solved quickly and accurately. Therefore, the attribute of the next problem may be determined as an attribute that progresses more than the attribute indicated by the attribute information (C) (for example, a higher difficulty level or the next learning progress stage). However, when the attribute information (C) includes information indicating the progress order or the like, it is preferable to acquire the attribute that becomes the next order only in the progress order.

  Further, for example, the entry time indicated by the entry time information (A1) is shorter than the time indicated by the condition information of the entry time information (A1), which is the corresponding condition information, and the non-entry time indicated by the non-entry time information (A2). Is longer than the time indicated by the condition information of the non-entry time information (A2) that is the corresponding condition information, and the score and the correct answer rate indicated by the correct / incorrect information (B) are that of the correct / incorrect information (B) that is the corresponding condition information. If the condition information shows a higher score or correct answer rate, it may take a long time to think about the time of the question. Therefore, the attribute of the next problem may be determined to be the same attribute (for example, the same difficulty level or the same learning progress stage) as the attribute indicated by the attribute information (C). However, when the attribute information (C) includes information indicating the progress order or the like, it is preferable to acquire the attribute that becomes the next order only in the progress order.

  If the combination is other than the above, the attribute of the next problem is determined to be an attribute (for example, a lower difficulty level or a previous learning progress stage) that is backward than the attribute indicated by the attribute information (C). May be.

  Here, a case will be described in which one piece of condition information associated with the problem identification information (Q) is condition information about a combination of entry time information and non-entry time information. Here, in particular, an example will be described in which the condition information about the combination of the entry time information and the non-entry time information is the condition information about the ratio value between the entry time information and the non-entry time information.

  The attribute determination means 1051 includes the condition information about the ratio between the entry time information (A1) and the non-entry time information (A2), which is the condition information associated with the problem identification information (Q), and the correct / incorrect information (B). Get condition information. Then, the attribute determining means 1051 calculates the ratio between the entry time information (A1) and the non-entry time information (A2), and the ratio and correct / incorrect information (B) correspond to the corresponding condition information, that is, entry. It is determined whether or not the condition information about the ratio between the time information (A1) and the non-entry time information (A2) and the condition information of the correct / incorrect information (B) are satisfied. Then, the attribute of the problem information to be output next is determined according to the combination of the determination results.

  For example, the attribute determination unit 1051 calculates the ratio of the non-entry time indicated by the non-entry time information (A2) to the entry time indicated by the entry time information (A1), and the value of the ratio is the corresponding condition information. It is smaller than the value indicated by the condition information about the ratio of the entry time indicated by the time information (A1) and the non-entry time information indicated by the non-entry time information (A2), and the score and correct answer rate indicated by the error information (B) are correct / incorrect information. If the condition information shown in (B) is higher than the score or the correct answer rate, the attribute of the next question is an attribute that progresses more than the attribute shown in the attribute information (C) (for example, a higher degree of difficulty or the next learning progress). Stage).

  For example, the ratio of the non-entry time indicated by the non-entry time information (A2) to the entry time indicated by the entry time information (A1) is the entry time indicated by the entry time information (A1) as the corresponding condition information. The score or correct answer rate indicated by the correct / incorrect information (B) is greater than the value indicated by the condition information regarding the ratio of the non-enter time indicated by the non-enter time information (A2), If it is higher than the correct answer rate, the attribute of the next question may be determined to be an attribute that progresses more than the attribute indicated by the attribute information (C) (for example, a higher difficulty level or the next learning progress stage).

  When a combination of other determination results is obtained, the attribute of the next problem is set to an attribute (for example, a lower difficulty level or a previous learning progress stage) than the attribute indicated by the attribute information (C). ) May be determined.

[(2) When the non-entry time information included in the learning time information includes thinking time information and / or free time above]
Hereinafter, with respect to a method of determining the attribute of the next problem using the learning time information (A), the correct / incorrect information (B), and the attribute information (C), the learning time information (A) is different from the entry time information (A1). An example in which the entry time information (A2) is included and the non-entry time information (A2) includes the thinking time information (A21) and / or the idle time information (A22) will be described. Note that specifying the learning time information (A) described above may be considered as specifying the entry time information (A1), the thinking time information (A21), and / or the idle time information (A22).

  First, as processing when the thinking time information (A21) included in the non-filling time information is used, for example, the attribute of the next problem is determined using the filling time information and the non-filling time information as described above. In this case, the same processing may be performed using the thinking time information and the condition information of the thinking time information instead of the non-writing time information and the condition information of the non-writing time information. In this case, the condition information may be acquired as condition information for the thinking time information. By using thought time information instead of non-entry time information, it is possible to determine the attributes of the next problem using information such as time information that excludes time information that is not directly related to the answer of the problem. Can be selected more appropriately.

  Next, the case where the idle time information (A22) included in the non-entry time information is used will be described. The attribute determining means 1051 includes condition information of entry time information (A1), condition information associated with the problem identification information (Q), condition information of free time information (A22), and condition of correct / incorrect information (B). Get information and. The entry time information (A1), the vacant time information (A22), and the correct / incorrect information (B) are the corresponding condition information, that is, the condition information of the entry time information (A1) and the condition information of the vacant time information (A22). And whether or not the condition information of the correct / incorrect information (B) is satisfied. Then, the attribute of the problem information to be output next is determined according to the combination of the determination results. Note that what attributes are determined according to the result of the combination of determination results may be specified in advance, or as described above associated with each problem identification information (Q) by the problem condition correspondence information. It is only necessary to read out information for selecting a problem, etc., and to follow a rule or a determination processing procedure specified in advance by the information for problem selection. The same applies to other combinations of determination results.

  For example, the entry time indicated by the entry time information (A1) is shorter than the time indicated by the condition information of the entry time information (A1) that is the corresponding condition information, and the non-entry time indicated by the idle time information (A22) The condition information of the correct / incorrect information (B), which is the corresponding condition information, indicates that the score and correct answer rate indicated by the correct / incorrect information (B) are shorter than the time indicated by the condition information of the idle time information (A22) that is the condition information to be displayed. If the score or the correct answer rate is higher, the attribute of the next question may be determined to be an attribute that progresses more than the attribute indicated by the attribute information (C) (for example, a higher difficulty level or the next learning progress stage). .

  In this case, even if the time indicated by the free time information (A22) is longer than the time indicated by the condition information of the free time information (A22) as the corresponding condition information, the attribute of the next problem is assigned to the attribute information ( The attribute may be determined to be more advanced than the attribute indicated by C).

  Further, for example, the entry time indicated by the entry time information (A1) is shorter than the time indicated by the condition information of the entry time information (A1) which is the corresponding condition information, and the non-entry time indicated by the idle time information (A22). The condition information of the correct / incorrect information (B), which is longer than the time indicated by the condition information of the idle time information (A22) as the corresponding condition information, and the score and correct answer rate indicated by the correct / incorrect information (B) are as the corresponding condition information May be determined to be the same attribute as the attribute indicated by the attribute information (C) (for example, the same difficulty level or the same learning progress stage). If the free time is long, it may be that you are not concentrating on the problem, so even if the correct answer rate of the question is bad, it is because the original answerer's academic ability is low or simply not concentrating This is because it cannot be judged whether the correct answer rate is low. However, when the attribute information (C) includes information indicating the progress order or the like, it is preferable to acquire the attribute that becomes the next order only in the progress order.

  If the combination is other than the above, the attribute of the next problem is determined to be an attribute (for example, a lower difficulty level or a previous learning progress stage) that is backward than the attribute indicated by the attribute information (C). May be.

  A case will be described in which the thinking time information (A21) and the free time information (A22) included in the non-filling time information are used. The attribute determination means 1051 includes condition information of entry time information (A1), condition information associated with the problem identification information (Q), condition information of thought time information (A21), and free time information (A22). Condition information and condition information of correct / wrong information (B) are acquired. The entry time information (A1), the non-entry time information (A2), and the correct / incorrect information (B) correspond to the condition information corresponding thereto, that is, the condition information of the entry time information (A1) and the condition of the thinking time information (A21). It is determined whether the information, the condition information of free time information (A22), and the condition information of correct / incorrect information (B) are satisfied. Then, the attribute of the problem information to be output next is determined according to the combination of the determination results. Note that what attributes are determined according to the result of the combination of determination results may be specified in advance, or as described above associated with each problem identification information (Q) by the problem condition correspondence information. It is only necessary to read out information for selecting a problem, etc., and to follow a rule or a determination processing procedure specified in advance by the information for problem selection. The same applies to other combinations of determination results.

  For example, the entry time indicated by the entry time information (A1) is shorter than the time indicated by the condition information of the entry time information (A1) that is the corresponding condition information, and the time indicated by the thinking time information (A21) is the corresponding condition. It is shorter than the time indicated by the condition information of the thinking time information (A21) that is information, and the time indicated by the idle time information (A22) is shorter than the time indicated by the condition information of the idle time information (A22) that is the corresponding condition information. If the score and correct answer rate indicated by the correct / incorrect information (B) are shorter than the score and correct answer rate indicated by the condition information of the correct / incorrect information (B) corresponding to the condition information, the attribute of the next question is assigned to the attribute information ( You may determine to the attribute (for example, a higher difficulty level or the next learning progress stage) which advances rather than the attribute which C) shows.

  Further, for example, the entry time indicated by the entry time information (A1) is shorter than the time indicated by the condition information of the entry time information (A1) that is the corresponding condition information, and the time indicated by the thinking time information (A21) The time indicated by the condition information of the available time information (A22), which is the corresponding condition information, is longer than the time indicated by the condition information of the thinking time information (A21), which is the condition information, and the time indicated by the available time information (A22). If the score or correct answer rate indicated by the correct / incorrect information (B) is shorter than the score or correct answer rate indicated by the condition information of the correct / incorrect information (B) corresponding to the condition information, the attribute of the next question is You may determine to the attribute (for example, a higher difficulty level or the next learning progress stage) which progresses rather than the attribute which information (C) shows.

  Further, for example, the entry time indicated by the entry time information (A1) is shorter than the time indicated by the condition information of the entry time information (A1) that is the corresponding condition information, and the time indicated by the thinking time information (A21) The time indicated by the condition information of the available time information (A22), which is the corresponding condition information, is longer than the time indicated by the condition information of the thinking time information (A21), which is the condition information, and the time indicated by the available time information (A22). If the score or correct answer rate indicated by the correct / incorrect information (B) is longer than the score or correct answer rate indicated by the condition information of the correct / incorrect information (B) as the corresponding condition information, the attribute of the next question is You may determine to the same attribute (for example, the same difficulty level or the same learning progress stage) as the attribute which information (C) shows. However, when the attribute information (C) includes information indicating the progress order or the like, it is preferable to acquire the attribute that becomes the next order only in the progress order.

  Further, for example, the entry time indicated by the entry time information (A1) is shorter than the time indicated by the condition information of the entry time information (A1) that is the corresponding condition information, and the time indicated by the thinking time information (A21) The time indicated by the condition information of the available time information (A22), which is the corresponding condition information, is shorter than the time indicated by the condition information of the thinking time information (A21), which is the condition information, and the time indicated by the available time information (A22). If the score or correct answer rate indicated by the correct / incorrect information (B) is lower than the score or correct answer rate indicated by the condition information of the correct / incorrect information (B) corresponding to the condition information, the attribute of the next question is You may determine to the same attribute (for example, the same difficulty level or the same learning progress stage) as the attribute which information (C) shows. However, when the attribute information (C) includes information indicating the progress order or the like, it is preferable to acquire the attribute that becomes the next order only in the progress order.

  If the combination is other than the above, the attribute of the next problem is determined to be an attribute (for example, a lower difficulty level or a previous learning progress stage) that is backward than the attribute indicated by the attribute information (C). May be.

[(3) When learning time information is included in learning time information]
Hereinafter, with respect to a method of determining the attribute of the next problem using the learning time information (A), the correct / incorrect information (B), and the attribute information (C), the learning time information (A) is learned time zone information (hereinafter, learning An example in the case of including time zone information (referred to as A3) will be described. Note that specifying the learning time information (A) described above may be considered specifying the learning time zone information (A3).

  The attribute determination unit 1051 acquires the condition information of the learning time period information (A3), which is the condition information associated with the problem identification information (Q), and the condition information of the correct / incorrect information (B). Whether or not the learning time zone information (A3) and the correct / incorrect information (B) satisfy the corresponding condition information, that is, the condition information of the learning time zone information (A3) and the correct / incorrect information (B). Respectively. Then, the attribute of the problem information to be output next is determined according to the combination of the determination results. Whether the learning time zone information (A3) satisfies the condition indicated by the condition information of the learning time zone information (A3) is determined by, for example, the time indicated by the condition information in the time zone indicated by the learning time zone information (A3). Or the time zone indicated by the learning time zone information (A3) is included in the time zone indicated by the condition information, or the name of the time zone indicated by the learning time zone information is the condition information. This is done by determining whether or not it matches the name of the displayed time zone. Note that what attributes are determined according to the result of the combination of determination results may be specified in advance, or as described above associated with each problem identification information (Q) by the problem condition correspondence information. It is only necessary to read out information for selecting a problem, etc., and to follow a rule or a determination processing procedure specified in advance by the information for problem selection. The same applies to other combinations of determination results.

  For example, if the time zone indicated by the condition information of the learning time zone information (A3) is a time zone preferable for learning, at least a part of the time zone indicated by the learning time zone information (A3) is the corresponding condition information. It is included in the time zone indicated by the condition information of a certain learning time zone information (A3), and the score and correct answer rate indicated by the correct / incorrect information (B) are the points indicated by the condition information of the correct / incorrect information (B) as the corresponding condition information, If it is higher than the correct answer rate, the attribute of the next question may be determined to be an attribute that progresses more than the attribute indicated by the attribute information (C) (for example, a higher difficulty level or the next learning progress stage).

  Further, for example, at least a part of the time zone indicated by the learning time zone information (A3) is included in the time zone indicated by the condition information of the learning time zone information (A3), which is the corresponding condition information, and the correct / incorrect information (B) If the score and correct answer rate indicated by is higher than the score and correct answer rate indicated by the condition information of the correct / incorrect information (B) that is the corresponding condition information, the attribute of the next question is the same as the attribute indicated by the attribute information (C) The attribute (for example, the same difficulty level or the same learning progress stage) may be determined. However, when the attribute information (C) includes information indicating the progress order or the like, it is preferable to acquire the attribute that becomes the next order only in the progress order.

  Further, for example, at least a part of the time zone indicated by the learning time zone information (A3) is included in the time zone indicated by the condition information of the learning time zone information (A3), which is the corresponding condition information, and the correct / incorrect information (B) If the score or correct answer rate indicated by is lower than the score or correct answer rate indicated by the correct / incorrect information (B), which is the corresponding condition information, the answerer is seriously studying in the preferred time zone. In order to give a chance to challenge the problem, the attribute of the next problem may be determined to be the same attribute (for example, the same difficulty level or the same learning progress stage) as the attribute indicated by the attribute information (C). However, when the attribute information (C) includes information indicating the progress order or the like, it is preferable to acquire the attribute that becomes the next order only in the progress order.

  If the combination is other than the above, the attribute of the next problem is determined to be an attribute (for example, a lower difficulty level or a previous learning progress stage) that is backward than the attribute indicated by the attribute information (C). May be.

[(4) When learning date information is included in learning time information]
Hereinafter, the learning time information (A) includes the learning date information (A4) for the method of determining the attribute of the next problem using the learning time information (A), the correct / incorrect information (B), and the attribute information (C). An example of the case will be described. Note that specifying the learning time information (A) described above may be considered specifying the learning date information (A4).

  The attribute determination unit 1051 acquires condition information of learning date information (A4) and condition information of correct / incorrect information (B), which are condition information associated with the problem identification information (Q). Whether the learning date information (A4) and the correctness information (B) satisfy the corresponding condition information, that is, the learning date information (A4) condition information and the correctness information (B) condition information, respectively. to decide. Then, the attribute of the problem information to be output next is determined according to the combination of the determination results. Whether the learning date information (A4) satisfies the condition indicated by the condition information of the learning date information (A4) is determined, for example, by the continuous learning days indicated by the learning date information (A4). This is performed by determining whether or not the number of days exceeded or whether the learning date indicated by the learning date information (A4) matches any of the days of the week indicated by the condition information. Note that what attributes are determined according to the result of the combination of determination results may be specified in advance, or as described above associated with each problem identification information (Q) by the problem condition correspondence information. It is only necessary to read out information for selecting a problem, etc., and to follow a rule or a determination processing procedure specified in advance by the information for problem selection. The same applies to other combinations of determination results.

  For example, the learning day information (A4) is information indicating the number of days of continuous learning days, and the condition information is a threshold of continuous days for which it is determined that learning is continuously performed for a sufficient period of time. Suppose it was a value. The number of consecutive learning days indicated by the learning date information (A4) is equal to or greater than the number of days indicated by the condition information of the learning date information (A4) as the corresponding condition information, and the score and correct answer rate indicated by the correct / incorrect information (B) are If the score information or the correct answer rate indicated by the correct / incorrect information (B) condition information is higher than the attribute indicated by the attribute information (C) (for example, higher difficulty) Or the next learning progress stage).

  Further, for example, the number of consecutive learning days indicated by the learning date information (A4) is equal to or greater than the number of days indicated by the condition information of the learning date information (A4) as the corresponding condition information, and the score or correct answer indicated by the correct / incorrect information (B). When the rate is lower than the score or correct answer rate indicated by the condition information of the correct / incorrect information (B) as the corresponding condition information, the attribute of the next question is the same attribute (for example, the same) as the attribute indicated by the attribute information (C) The degree of difficulty and the same learning progress stage may be determined. However, when the attribute information (C) includes information indicating the progress order or the like, it is preferable to acquire the attribute that becomes the next order only in the progress order.

  If the combination is other than the above, the attribute of the next problem is determined to be an attribute (for example, a lower difficulty level or a previous learning progress stage) that is backward than the attribute indicated by the attribute information (C). May be.

[(5) When answer correspondence information is information in which consciousness information is associated]
Similarly to the above, the attribute determination unit 1051 specifies learning time information (A), correct / incorrect information (B), and attribute information (C) associated with the answer correspondence information, and is associated with the answer correspondence information. Consciousness information (hereinafter, consciousness information (D) is identified. Then, learning time information (A), correct / incorrect information (B), and consciousness information (D) correspond to condition information corresponding to each, that is, learning time information ( A) condition information, right / wrong information (B) condition information, and consciousness information (D) condition information are determined to satisfy the consciousness information (D). The determination as to whether or not the condition is satisfied is, for example, whether the information indicating the motivation indicated by the consciousness information (D) matches the information indicating the motivation indicated by the condition information, or whether the consciousness information (D) indicates the motivation indicated. The value that is the information that indicates the condition information The determination is made based on whether the threshold value of the information indicating motivation is exceeded, etc. Then, the attribute of the problem information to be output next is determined according to the combination of the determination results. For example, as described above, whether the learning time information (A) includes the entry time information (A1) and the non-entry time information (A2) or the learning time is determined as follows. The description is omitted because the information includes learning time zone information and the learning time information includes learning date information, and the description is omitted. The individual information included in the learning time information may be considered as a combination of the results indicating whether or not the corresponding conditions are satisfied. Time information and blank Judgment result that both information satisfy the conditions, judgment result that only entry time information or non-entry time information satisfies condition, and multiple entries that both entry time information and non-entry time information do not satisfy the condition In addition, a determination result may be obtained, and what kind of attribute is determined by a combination of these determination results may be specified in advance, or each problem identification information (Q The above-described problem selection information or the like associated with () is read out, and the rules or determination processing procedures specified in advance by the problem selection information or the like are read. The same applies to the combination of results.

  For example, when the consciousness information (D) matches the information indicating that there is motivation that is the condition indicated by the condition information of the consciousness information (D) that is the corresponding condition information, that is, when the condition is satisfied, learning is performed. Judgment result of whether or not the entry time indicated by the time information (A) satisfies the condition indicated by the condition information of the learning time information (A) as the corresponding condition information, and the score and correct answer rate indicated by the correct / incorrect information (B) Depending on the determination result whether the condition information of the correct / incorrect information (B), which is the corresponding condition information, is higher than the score or the correct answer rate, the learning time information (A) and the correct / incorrect information (B ) And the same determination as the attribute determination based on the determination result.

  Further, when the consciousness information (D) does not match the information indicating that the motivation is the condition indicated by the condition information of the consciousness information (D) corresponding to the condition information, the score or correct answer indicated by the correct / incorrect information (B) If the rate is lower than the score or correct answer rate indicated by the correct / incorrect information (B), which is the corresponding condition information, the answerer's willingness to learn was applied. Therefore, for confirmation, the attribute of the next problem may be determined to be the same attribute (for example, the same difficulty level or the same learning progress stage) as the attribute indicated by the attribute information (C). .

  On the other hand, for example, the entry time indicated by the learning time information (A) satisfies the condition indicated by the condition information of the learning time information (A) that is the corresponding condition information, and the score and correct answer rate indicated by the correct / incorrect information (B) are: The condition indicated by the condition information of the consciousness information (D) as the corresponding condition information when the consciousness information (D) is higher than the score and the correct answer rate indicated by the condition information of the correct / incorrect information (B) as the corresponding condition information If the information does not match the information indicating that the user is motivated, the attribute of the next problem is higher than the attribute indicated by the attribute information (C) (for example, higher difficulty level or next learning progress stage). You may decide to.

[(6) When answer correspondence information is information in which electronic pen behavior information is associated]
Similarly to the above, the attribute determination unit 1051 specifies learning time information (A), correct / incorrect information (B), and attribute information (C) associated with the answer correspondence information, and is associated with the answer correspondence information. Electronic pen behavior information (hereinafter, electronic pen behavior information (E) is specified. And, learning time information (A), correct / incorrect information (B), and electronic pen behavior information (E) are corresponding condition information. That is, it is determined whether or not the condition information of the learning time information (A), the condition information of the correct / incorrect information (B), and the condition information of the electronic pen behavior information (E) are satisfied. The determination as to whether or not the condition information of the electronic pen behavior information (E) is satisfied is based on, for example, whether or not the value indicating the pen pressure or speed indicated by the electronic pen behavior information exceeds the value indicated by the condition information. Yo Then, the attribute of the problem information to be output next is determined according to the combination of the determination results, and whether or not the learning time information (A) satisfies the condition information is determined, for example, As described above, when the learning time information (A) includes entry time information (A1) and non-entry time information (A2), when the learning time information includes learning time zone information, or when the learning time information is Since it is the same as the case where the learning date information is included, the description thereof will be omitted.The determination of whether or not the learning time information described here satisfies the conditions corresponds to the individual information included in the learning time information. In other words, the determination result for the learning time information in this case is, for example, the determination result that both the entry time information and the non-entry time information satisfy the condition. Or There may be obtained a determination result that only the time information or only the non-entry time information satisfies the condition, or a plurality of determination results that both the input time information and the non-entry time information do not satisfy the condition. What attributes are determined depending on the combination of the determination results may be specified in advance, or for problem selection as described above associated with each problem identification information (Q) by the problem condition correspondence information It is only necessary to read out information, etc., and follow the rules, judgment processing procedures, etc. designated in advance by the problem selection information etc. This also applies to other combinations of judgment results.

  For example, when the electronic pen behavior information is an average value of writing pressure at the time of writing, the average value of the writing pressure indicated by the electronic pen behavior information (E) is electronic pen behavior information ( When the writing pressure is larger than the pressure indicated by the condition information of E), that is, when the condition is satisfied, it is considered that the student concentrates on the problem of the answerer, so the learning time information (A) is The condition information corresponding to the determination result of whether or not the indicated entry time satisfies the condition indicated by the condition information of the learning time information (A), which is the corresponding condition information, and the score and correct answer rate indicated by the correct / incorrect information (B) Depending on the determination result whether or not the condition information of the correct / incorrect information (B) is higher than the score and the correct answer rate, the determination result of the learning time information (A) and the correct / incorrect information (B) as described above Make the same decision as the attribute determination based on It may be.

  In addition, when the electronic pen behavior information (E) is smaller than the writing pressure that is the condition indicated by the condition information of the electronic pen behavior information (E) that is the corresponding condition information, the score indicated by the correct / incorrect information (B) If the correct answer rate is lower than the score or correct answer rate indicated by the condition information of the correct / incorrect information (B) that is the corresponding condition information, it is considered that the concentration of the answerer was not high, and the obtained correct / incorrect information is Since it is considered that the academic ability of the answerer is not accurately represented, the attribute of the next question is set to the same attribute (for example, the same difficulty level or the same learning progress stage) as the attribute indicated by the attribute information (C). You may decide.

  On the other hand, for example, the entry time indicated by the learning time information (A) satisfies the condition indicated by the condition information of the learning time information (A) that is the corresponding condition information, and the score and correct answer rate indicated by the correct / incorrect information (B) are: The condition of the electronic pen behavior information (E) that is the corresponding condition information when the electronic pen behavior information (E) is higher than the score or the correct answer rate indicated by the condition information of the correct / wrong information (B) that is the corresponding condition information. When the writing pressure is lower than the condition indicated by the information, the attribute of the next problem is determined to be an attribute higher than the attribute indicated by the attribute information (C) (for example, higher difficulty level or next learning progress stage). May be.

  In addition, when the electronic pen behavior information has a plurality of electronic pen behavior information such as writing pressure and moving speed, it is determined whether or not the condition information corresponding to each of the electronic pen behavior information is satisfied. Depending on the combination, the attribute of the next problem may be determined.

  In the present embodiment, it is determined whether or not the correct / incorrect information satisfies the condition indicated by the condition information, and one or more of the other information, for example, the learning time information or the entry time included in the learning time information 1 of information, non-filling time information, thinking time information, free time information, learning time zone information, learning date information, consciousness information not included in learning time information, electronic pen behavior information, etc. The above results may be combined with the determination result of whether or not the conditions indicated by the corresponding condition information satisfy the conditions, and the attribute of the next problem may be acquired. It is not restricted to such a combination.

  In addition, when changing what attribute is acquired according to the content of a problem etc. according to the combination of whether condition information is satisfied or not, the problem selection information as described above is used. It is preferable to set appropriately according to the contents of the above.

[(C) When the attribute of the next problem is determined by classifying a combination of two or more learning-related information by evaluation index]
Two or more combinations, such as combinations of entry time information, non-entry time information, and correct / incorrect information, when multiple respondents answer the same or similar problems as indicated by the problem identification information (Q) A combination of learning related information and an evaluation index used to determine the next question, such as the proficiency level of each answerer regarding the question, are stored in advance in a storage unit (not shown). And two or more learning related information such as a combination of entry time information (A1), non-entry time information (A2), and correct / incorrect information (B) associated with one question identification information (Q) by answer correspondence information The problem identification information (Q) may be classified according to the evaluation index by performing processing including desired statistical processing using the combination of the above. As a result of the classification, for example, an evaluation index corresponding to the class into which the problem identification information (Q) is classified can be acquired as the evaluation index of the problem identification information (Q). For this reason, for example, when an evaluation result indicating that the proficiency level is high is obtained as this evaluation index, the attribute of the next problem is determined as an advanced attribute, and an evaluation index indicating that the proficiency level is low is obtained. In such a case, the attribute of the next problem may be determined as a backward attribute. The above-mentioned evaluation index indicating the proficiency level, for example, is based on, for example, the question creator's or provider's degree of understanding of each answerer, other test results, the passing results of the same aspirational school as the aspirational school of the past answerer, etc. It is the result of evaluation. This evaluation result may be an evaluation result indicating whether or not an advanced attribute should be determined as an attribute of the next problem, or information corresponding to the result. The classification described here refers to problem identification information (Q), entry time information (A1), non-entry time information (A2), correct / incorrect information (B), etc. acquired corresponding to the problem identification information (Q). This is a concept that includes, for example, determining which of the classes classified according to evaluation indexes known in advance is based on two or more learning-related information. Such classification is usually referred to as supervised classification. In supervised classification, information used to discriminate a class into which an object, here problem identification information or a problem, is classified is usually data for teachers. Called. When supervised classification is performed, for example, discriminant analysis may be used as the desired statistical processing described above. Discriminant analysis is a technique for inferring which class belongs to the feature quantity of data when new data is given when the distribution of two or more classes is known. For example, linear discriminant And a method using the Mahalanobis distance. In addition, the attribute determination unit 1051 performs, for example, principal component analysis in order to convert the entry time information, the non-entry time information, the correctness information, and the like for the problem identification information so as to have a feature amount suitable for the above-described discriminant analysis. Statistical processing may be performed. Principal component analysis is a method that combines the observed feature values (for example, learning-related information here), compresses them, and obtains the original feature values in consideration of the whole. The quantity space is reduced in dimension and orthogonalized. For example, in the present embodiment, the principal component analysis is performed using the entry time information, the non-entry time information, the correct / incorrect information, etc., for the problem identification information, and the analysis result is used to perform the discriminant analysis, particularly the Mahalanobis analysis. It is possible to classify the problem identification information. In other words, it is possible to acquire the evaluation result of the answerer about the problem indicated by the problem identification information and determine the next attribute. For example, when an evaluation result indicating that the answerer is proficient is obtained, the attribute of the next question is determined to be an advanced attribute, and when an evaluation result indicating that the answerer is proficient is not obtained, a receding Determine the attribute. Therefore, since statistical processing using these multivariates is a known technique, detailed description thereof is omitted here.

  Here, as an example, a case has been described in which a combination of entry time information (A1), non-entry time information (A2), and correct / incorrect information (B) is used as a feature amount. However, in the present embodiment, Entry time information (A1), non-entry time information (A2), thinking time information (A21), vacant time information (A22), time zone information (A3), learning date information (A4), which are learning related information By performing multivariate analysis such as principal component analysis as described above using a plurality of correctness information (B), consciousness information (D), and electronic pen behavior information (E) as feature quantities, the answerer It goes without saying that it is possible to determine the proficiency level of and acquire the attribute of the next problem.

  The attribute determination unit 1051 can be usually realized by an MPU, a memory, or the like. The processing procedure of the attribute determining means 1051 is usually realized by software, and the software is recorded on a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

  The problem information acquisition unit 1052 acquires problem information indicating a problem identified by the problem identification information corresponding to the attribute information indicating the attribute determined by the attribute determination unit 1051 using the attribute correspondence information and the problem correspondence information. Specifically, the problem information acquisition unit 1052 has an attribute that matches the attribute determined by the attribute determination unit 1051 among the attribute information associated with the attribute correspondence information stored in the attribute correspondence information storage unit 102. The attribute information indicating is searched. The match here may be a complete match or a partial match. For example, when the acquired attribute information includes information indicating the progress order, information indicating the difficulty level, and the like, the attribute indicating the progress order indicated by the acquired attribute information matches the information indicating the difficulty level. Search for information. Then, the problem identification information associated with the attribute information detected by the search and the attribute correspondence information is acquired from the attribute correspondence information. Then, from the problem handling information stored in the problem handling information storage unit 103, the problem information associated with the acquired problem identification information is detected by searching or the like, and the detected problem information is obtained. For example, if the attribute information indicating the attribute determined by the attribute determination unit 1051 is “calculation problem 5, difficulty level 6”, the problem information acquisition unit 1052 displays “calculation problem 5”, that is, the fifth calculation problem. The problem identification information associated with the attribute information “difficulty 6” is detected from the problem identification information associated with the attribute information indicating that the calculation problem is prepared as Corresponding problem information is acquired from the problem handling information stored in the problem handling information storage unit 103 and output. In the case where a plurality of attribute information indicating an attribute that matches the attribute determined by the attribute determination unit 1051 is retrieved from the attribute information associated with the attribute correspondence information stored in the attribute correspondence information storage unit 102. The problem information acquisition unit 1052 may acquire, from the attribute correspondence information, problem identification information associated with the plurality of attribute information detected by the search and the attribute correspondence information. Thereby, for example, when the entry time and the thinking time are long, it is possible to make a plurality of problems to be output next.

  The problem information acquisition unit 1052 can usually be realized by an MPU, a memory, or the like. The processing procedure of the problem information acquisition unit 1052 is usually realized by software, and the software is recorded on a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

  The problem information output unit 106 outputs the problem information acquired by the problem information acquisition unit 105. For example, the problem information is transmitted to a terminal device (not shown) such as an e-learning system used by the learner. The output described here refers to display on a display, projection using a projector, printing on a printer, sound output, transmission to an external device, storage in a recording medium, output to another processing device or other program, etc. It is a concept that includes delivery of processing results. A program is an instruction for a procedure of processing (calculation, operation, communication, etc.) performed by a computer. The problem information output unit 106 may or may not include an output device such as a display or a speaker. The problem information output unit 106 may be implemented by output device driver software, or output device driver software and an output device.

  Next, an example of the operation of the problem information output device 1 will be described using the flowchart of FIG.

  (Step S <b> 101) The attribute determination unit 1051 acquires condition information corresponding to one piece of problem identification information from the problem condition correspondence information storage unit 104. For example, the attribute determination unit 1051 acquires condition information corresponding to the problem identification information associated with the latest answer correspondence information.

  (Step S102) The attribute determination means 1051 uses the answer correspondence information to enter entry time information, thought time information, free time information, and correct / incorrect information, which is learning related information associated with the one problem identification information described in Step S101. Learning time zone information, learning date information, consciousness information, and electronic pen behavior information are acquired.

  (Step S103) The attribute determination means 1051 indicates that the entry time information acquired in Step S102 is condition information (hereinafter referred to as entry time condition information) about the entry time information among the condition information obtained in Step S101. It is determined whether or not the condition is satisfied, and the determination result is acquired. The determination result is temporarily stored in a storage medium such as a memory (not shown). Specifically, it is determined whether or not the entry time indicated by the entry time information is less than a predetermined time indicated by the entry time condition information. If it is less than the predetermined time, it is determined that the condition is satisfied, and if it is greater than or equal to the value, it is determined that the condition is not satisfied.

  (Step S104) The attribute determination means 1051 indicates that the thinking time information acquired in Step S102 is condition information (hereinafter referred to as thinking time condition information) about the thinking time information among the condition information acquired in Step S101. It is determined whether or not the condition is satisfied, and the determination result is acquired. The determination result is temporarily stored in a storage medium such as a memory (not shown). Specifically, it is determined whether the thinking time indicated by the thinking time information is less than a predetermined time indicated by the thinking time condition information. If it is less than the predetermined time, it is determined that the condition is satisfied, and if it is greater than or equal to the value, it is determined that the condition is not satisfied.

  (Step S105) The attribute determination means 1051 indicates that the free time information acquired in step S102 is condition information (hereinafter referred to as free time condition information) about free time information among the condition information acquired in step S101. It is determined whether or not the condition is satisfied, and the determination result is acquired. The determination result is temporarily stored in a storage medium such as a memory (not shown). Specifically, it is determined whether or not the free time indicated by the free time information is less than a predetermined time indicated by the free time condition information. If it is less than the predetermined time, it is determined that the condition is satisfied, and if it is greater than or equal to the value, it is determined that the condition is not satisfied.

  (Step S106) The attribute determination unit 1051 determines whether the correctness information acquired in step S102 satisfies the condition indicated by the condition information about correctness information (hereinafter, correctness information) in the condition information acquired in step S101. Determine whether. And a judgment result is acquired. The determination result is temporarily stored in a storage medium such as a memory (not shown). Specifically, it is determined whether or not the number of correct answers, the correct answer rate, the score, and the like indicated by the correct / incorrect information are equal to or greater than the value indicated by the condition information about the correct / incorrect information. If it is greater than or equal to a predetermined value, it is determined that the condition is satisfied, and if it is less than the value, it is determined that the condition is not satisfied.

  (Step S107) The attribute determination unit 1051 uses the learning time zone information acquired in step S102 as condition information (hereinafter referred to as learning time zone condition information) about the learning time zone information among the condition information acquired in step S101. ) Is determined, and the determination result is acquired. The determination result is temporarily stored in a storage medium such as a memory (not shown). Specifically, it is determined whether at least a part of the time zone indicated by the learning time zone information is included in a predetermined time zone indicated by the learning time zone condition information. If it is included, it is determined that the condition is satisfied, and if it is not included, it is determined that the condition is not satisfied.

  (Step S108) In the attribute determination unit 1051, the learning date information acquired in Step S102 indicates the condition information (hereinafter referred to as learning date condition information) about the learning date information among the condition information acquired in Step S101. It is determined whether or not the condition is satisfied, and the determination result is acquired. The determination result is temporarily stored in a storage medium such as a memory (not shown). Here, specifically, it is determined whether or not the number of days of continuous learning indicated by the learning date information is greater than or equal to a predetermined number of days indicated by the learning date condition information. If the number of days is greater than or equal to the number of days, it is determined that the condition is satisfied.

  (Step S109) The attribute determining unit 1051 satisfies the condition indicated by the condition information (hereinafter referred to as consciousness condition information) about the consciousness information among the condition information acquired in Step S101. Whether or not and obtain the determination result. The determination result is temporarily stored in a storage medium such as a memory (not shown). Specifically, it is determined whether or not the information indicating the motivation and motivation for learning indicated by the consciousness information matches the information indicated by the consciousness condition information. If they match, it is determined that the condition is satisfied, and if they do not match, it is determined that the condition is not satisfied.

  (Step S110) The attribute determination unit 1051 uses the electronic pen behavior information acquired in step S102 as condition information (hereinafter referred to as electronic pen behavior condition information) about the electronic pen behavior information in the condition information acquired in step S101. ) Is determined, and the determination result is acquired. The determination result is temporarily stored in a storage medium such as a memory (not shown). Specifically, it is determined whether the writing pressure value indicated by the electronic pen behavior information is equal to or higher than a predetermined writing pressure indicated by the electronic pen behavior condition information. If it is equal to or higher than the predetermined writing pressure, it is determined that the condition is satisfied. If it is not equal to or higher than the predetermined writing pressure, it is determined that the condition is not satisfied. In addition, when the electronic pen behavior information includes a plurality of electronic pen behavior information, the plurality of electronic pen behavior information is similarly compared with the corresponding condition information to determine whether the condition is satisfied. Judgment may be made. In addition, a plurality of electronic pen behavior information obtained in this way may be used for counting objects when obtaining an evaluation index or the like.

  (Step S111) The attribute determination unit 1051 determines an evaluation index for determining the attribute of the next problem, using information indicating the determination results obtained in steps S103 to S109. For example, it is determined whether or not each determination result from step S103 to step S109 is a determination result indicating that the conditions are satisfied. If the determination result indicates that the condition is satisfied, a value indicating the weight associated with the information to be determined is acquired, and the value indicating the weight is sequentially added. Then, the final addition result is acquired as an evaluation index. The weighting value may be specified in advance, or the weighting value stored in a storage medium (not shown) associated with the problem identification information or the condition information may be read and used.

  (Step S112) The attribute determination means 1051 is an attribute that is associated with the one problem identification information described above based on the evaluation index acquired in step S111 and the attribute correspondence information stored in the attribute correspondence information storage unit 102. Information and determine the next problem attribute. For example, information that manages the information indicating the range of the value of the evaluation index and information that specifies the attribute of the next problem are stored in advance in a storage medium (not shown). The information indicating the range including the evaluation index acquired in step S111 is detected from the information indicating the range of values of the managed evaluation index, and the next corresponding to the information indicating the detected range is detected. Get information specifying the problem attribute. When the attribute indicated by the attribute information associated with the one problem identification information described above is used as a reference, the attribute determining unit 1051 indicates the attribute indicated by the information specifying the attribute of the next problem acquired above. Determine the next problem attribute.

  (Step S113) The problem information acquisition unit 1052 acquires the problem identification information of the next problem, which is the problem information identification information having the attribute acquired in Step S113, from the attribute correspondence information storage unit 102.

  (Step S114) The problem information acquisition unit 1052 acquires the next problem information, which is the problem information corresponding to the problem information identification information acquired in Step S113, from the problem response information storage unit 103 by searching.

  (Step S115) The problem information output unit 106 outputs the problem information acquired in step S114. Then, the process ends.

  In addition, in the determination performed in the above-described plurality of steps, instead of determining whether or not the value to be determined is less than the condition value, it is determined whether or not the value is equal to or less than the condition value. You may do it. In this case, instead of determining that the value is not less than the condition value, it may be determined that the value is not less than the condition value.

  Hereinafter, a specific operation of the problem information output apparatus 1 according to the present embodiment will be described with an example. FIG. 3 is a conceptual diagram of the problem information output device 1 and the like. In FIG. 3, the problem information output device 1 is connected so as to be able to communicate information with the information processing device 10 via a network, a communication line, or the like. The information processing apparatus 10 is a terminal device such as an e-learning system, for example. The information processing apparatus 10 receives a problem transmitted from the problem information output apparatus 1 via a network, a communication line, or the like, and displays the problem on a monitor or prints it out on paper or the like using a printer (not shown). In addition, information on the answer to the question input by the answerer using the electronic pen 20 or the like is transmitted to the question information output device 1 via a network, a communication line, or the like.

  FIG. 4 is a diagram illustrating an example of the answer correspondence information stored in the answer correspondence information storage unit 101. Here, as an example, the answer correspondence information for the answerer whose user identification information is “U001” is shown. Answer correspondence information includes “date”, “question ID”, “entry time”, “thinking time”, “vacant time”, “score”, “learning time zone”, “learning date”, “consciousness information”, and It has an item (field) “writing pressure”. “Date” is information on a date when a record of answer correspondence information is added. “Problem ID” is problem identification information. “Entry time” is entry time information, for example, a time during which an input device such as the electronic pen 20 is operated when solving a problem. “Thinking time” is thinking time information. For example, from the time when learning is performed using a problem to the non-filling time that is a time excluding “filling time” from the start to the end The length of time is less than a predetermined time. “Free time” is free time information. For example, the length of one time out of the non-filling time is a time longer than a predetermined time. “Score” is correct / incorrect information, and is information on a score obtained as a result of scoring an answerer's answer to a question. The “learning time zone” is learning time zone information, and here, it is composed of information indicating a learning start time and a learning end time. “Learning date” is learning date information, and here is information indicating the number of days of continuous learning. “Consciousness information” is consciousness information, and here is character string information indicating the consciousness input by the user before learning using the problem. The “writing pressure” is electronic pen behavior information, and is an average value of the writing pressure values acquired by the electronic pen used by the answerer when creating the answer. “Entry time”, “thinking time”, “free time”, “score”, “learning time zone”, “learning date”, “consciousness information”, and “writing pressure” are the learning-related information here. The writing pressure value is a unique value detected by the electronic pen. Here, as an example, the information of each item is stored in the answer correspondence information storage unit 101.

  First, information for requesting transmission of a problem to the problem information output apparatus 1 by operating the information processing apparatus 10 by an answerer whose user identification information is “U001” to perform learning using the problem. Is sent.

  FIG. 5 is a diagram illustrating an example of the problem condition correspondence information stored in the problem condition correspondence information storage unit 104. The problem condition correspondence information includes “problem ID”, “entry time condition”, “thinking time condition”, “free time condition”, “score condition”, “learning time zone condition”, “learning day condition”, “consciousness condition” ”And“ writing pressure condition ”(field). “Problem ID” is problem identification condition information. “Entry time condition” is entry time condition information. “Thinking time condition” is thinking time condition information. “Free time condition” is free time condition information. “Scoring condition” is correct / incorrect condition information. The “learning time zone condition” is learning time zone condition information. “Learning date condition” is learning date condition information. The “consciousness condition” is consciousness condition information. “Pen pressure condition” is electronic pen behavior condition information. In other words, “Entry time condition”, “Thinking time condition”, “Free time condition”, “Scoring condition”, “Learning time zone condition”, “Learning day condition”, “Consciousness condition”, and “Writing pressure condition” are , Condition information on the problem indicated by the “problem ID” of the same record. In the condition information, “entry time condition”, “thinking time condition”, “free time condition”, “scoring condition”, and “writing pressure condition” are, for example, different questions and themes of the respondent in the past. The average value of each piece of information obtained when answering the question, and the information obtained at the time of answering when another answerer answers the same or similar question The average value etc. Here, as an example, it is assumed that the information of each item is stored in the problem condition correspondence information storage unit 104.

  When the problem information output device 1 receives information requesting transmission of a problem through reception or the like (not shown), the attribute determination unit 1051 of the problem information acquisition unit 105 has the user identification information “U001” shown in FIG. The record with the latest “date” is detected from the answer correspondence information corresponding to the answerer. Here, a record whose “date” is “09/10/11” is detected. Then, “T008” which is the “problem ID” of this record is read out. Then, the record having the “problem ID” “T008” in the problem condition correspondence information shown in FIG. 5 is detected, and the condition information included in the record, that is, “entry time condition”, “think time condition”, “empty” The values of the items “time condition”, “score condition”, “learning time zone condition”, “learning day condition”, “consciousness condition”, and “writing pressure condition” are read out. The read information is temporarily stored in a storage medium (not shown).

  In addition, the attribute determination unit 1051 determines, based on the answer correspondence information, the “entry time” and “think time” of the record whose “question ID” is “T008”, that is, the record whose “date” is “09/10/11”. ”,“ Free time ”,“ score ”,“ learning time zone ”,“ learning date ”,“ consciousness information ”, and“ writing pressure ”are read. The read information is temporarily stored in a storage medium (not shown).

  Next, the attribute determining means 1051 reads “entry time”, “thinking time”, “vacant time”, “score”, “learning time zone”, “learning date”, “consciousness information” read from the answer correspondence information, And whether the information read from the problem condition correspondence information satisfies the condition information by comparing the value of the item “writing pressure” with the value of the condition information corresponding to each read from the problem condition correspondence information. Judgment is made and the judgment result is memorized. Note that the determination result determined not to satisfy the condition may not be stored.

  First, the attribute determination unit 1051 compares the “entry time” value read from the answer correspondence information with the “entry time condition” value read from the problem condition correspondence information, and the “entry time” value is “entry”. It is determined whether or not it is less than the value of “time condition”. Here, since the value of “entry time” is “15 (minutes)” and the value of “entry time condition” is “20 (minutes), it is determined that the condition is satisfied. Is temporarily stored in the storage medium.

  Next, the attribute determination unit 1051 compares the value of “thinking time” read from the answer correspondence information with the value of “thinking time condition” read from the question condition correspondence information, and the value of “thinking time” is “ It is determined whether or not it is less than the value of “thinking time condition”. Here, since the value of “thinking time” is “3 (minutes)” and the value of “thinking time condition” is “10 (minutes)”, it is determined that the condition is satisfied. Then, the determination result is temporarily stored in a storage medium such as a memory.

  Next, the attribute determination unit 1051 compares the “free time” value read from the answer correspondence information with the “free time condition” value read from the problem condition correspondence information, and the “free time” value is “ It is determined whether or not it is less than the value of “free time condition”. Here, since the value of “free time” is “0 (minutes)” and the value of “free time condition” is “10 (minutes)”, it is determined that the condition is satisfied. Then, the determination result is temporarily stored in a storage medium such as a memory.

  Next, the attribute determination unit 1051 compares the “score” value read from the answer correspondence information with the “score condition” value read from the problem condition correspondence information, and the “score” value is “score condition”. It is determined whether or not the value is equal to or greater than. Here, since the value of “score” is “62 (point)” and the value of “score condition” is “70 (point)”, it is determined that the condition is not satisfied. Then, the determination result is temporarily stored in a storage medium such as a memory.

  Next, the attribute determination unit 1051 compares the “learning time zone” value read from the answer correspondence information with the “learning time zone condition” value read from the problem condition correspondence information, and the “learning time zone” is It is determined whether or not at least a part of the indicated time zone is included in the time zone indicated by the “learning time zone condition”. Here, since the value of “learning time zone” is “17: 15-17: 33” and the value of “learning time zone condition” is “6: 00-21: 00”, Since the value is included in the time zone indicated by the “learning time zone condition”, it is determined that the condition is satisfied. Then, the determination result is temporarily stored in a storage medium such as a memory.

  Next, the attribute determination unit 1051 compares the value of “learning date” read from the answer correspondence information with the value of “learning date condition” read from the question condition correspondence information, and the number of days indicated by “learning date” is determined. It is determined whether or not the number of days indicated by the “learning day condition” is less. Here, since the value of “learning date” is “5” and the value of “learning date condition” is “4”, it is determined that the condition is satisfied. Then, the determination result is temporarily stored in a storage medium such as a memory.

  Next, the attribute determination unit 1051 compares the value of the “consciousness information” read from the answer correspondence information with the value of the “consciousness condition” read from the problem condition correspondence information, and compares the value of the “consciousness information” and the “consciousness”. It is determined whether or not the value of “condition” matches. The match here may be a partial match or a complete match. Here, since the value of “consciousness information” is “high” and the value of “consciousness condition” is also “high” and the values match, it is determined that the condition is satisfied. Then, the determination result is temporarily stored in a storage medium such as a memory.

  Next, the attribute determination unit 1051 compares the “writing pressure” value read from the answer correspondence information with the “writing pressure condition” value read from the problem condition correspondence information, and the “writing pressure” value is “ It is determined whether or not the value is “pressure pressure condition” or more. Here, since the value of “writing pressure” is “120” and the value of “writing pressure condition” is “100”, it is determined that the condition is satisfied. Then, the determination result is temporarily stored in a storage medium such as a memory.

  FIG. 6 is a diagram illustrating weighting information that is information indicating a weighting value used when an evaluation index is acquired. The weighting information is managed in association with each of the learning related information by a management table as shown in FIG. For example, the weighting information is stored in advance in a storage unit (not shown).

  The attribute determination unit 1051 performs weighting corresponding to the learning related information determined to satisfy the condition in the determination processing performed as described above to determine whether each of the learning related information satisfies the condition indicated by the condition information. Information is acquired from the management table shown in FIG. For example, the learning related information determined to satisfy the conditions in the above processing includes “entry time”, “thinking time”, “vacant time”, “learning time zone”, “learning date” excluding “score”. , “Consciousness information”, and “writing pressure”, the weighting information corresponding to these is “2”, “1”, “1”, “1”, “2”, “1”, and “1” Is obtained. And an evaluation index is acquired by adding the value of the acquired weighting information. The evaluation index acquired here is “9”.

  FIG. 7 is a next problem attribute information management table for managing the correspondence between the value of the evaluation index and the next problem attribute information which is information indicating the attribute of the next problem. The next problem attribute information management table has items of “evaluation index” and “next problem attribute information”. “Evaluation index” indicates a range of values of the evaluation index. “Next problem attribute information” is information indicating the attribute of the next problem based on the current problem. In “Next problem attribute information”, “Progress” is an attribute that is more advanced than the previous problem. This is a value for designating the problem having the next problem attribute. “Same” is a value for designating a problem having the same attribute as the next problem attribute as compared to the previous problem. Further, “retreat” is a value for designating a problem having a retreated attribute as a next problem attribute as compared to the previous problem.

  The attribute determination unit 1051 searches the next problem attribute information management table for “evaluation index” that specifies the range of the evaluation index including the evaluation index value “9” acquired above. Here, since the value of the evaluation index acquired above is included in the “evaluation index” of “9-12”, the attribute determination unit 1051 has the “evaluation index” of “9-12” in the record “ Acquire "progress" as "next problem attribute information".

  FIG. 8 is a diagram illustrating an example of attribute correspondence information stored in the attribute correspondence information storage unit 102. The attribute correspondence information has items of “problem ID” and “attribute information”. Furthermore, “attribute information” has attributes of “progress order” and “difficulty”. “Progression order” is information indicating the order in which the problems are output. For example, after the problem corresponding to any of the problem identification information whose “progression order” is “2” is output, Any of the problems corresponding to the problem identification information in which “3” is “3” is output. The “difficulty level” is an attribute corresponding to the “next question attribute information” described above.

  The attribute determination unit 1051 calculates the value “7” of the “progress order” of the record whose “problem ID” is “T008” from the attribute correspondence information stored in the attribute correspondence information storage unit 102 as shown in FIG. To get. Then, “8” which is the value of “progression order” obtained by incrementing 1 to “7” of this “progression order” is acquired. The value “8” of the “progress order” acquired in this way and “progress” which is the “next problem attribute information” acquired above indicate the attributes of the next problem determined by the attribute determining means 1051. Information.

  From the attribute correspondence information shown in FIG. 8, the problem information acquisition unit 1052 determines that the “progress order” value is “8”, which is the “progress order” value determined by the attribute determination unit 1051. ”Is a record corresponding to the“ next problem attribute information ”determined by the attribute determination means 1051 and“ progress ”is detected by search, and the value of“ problem ID ”of the detected record is read. . Here, the “problem ID” value “T012” is read out.

  FIG. 9 is a diagram illustrating an example of the problem handling information stored in the problem handling information storage unit 103. The problem correspondence information includes items of “problem ID” and “problem information”. “Problem information” is, for example, information on a problem for output.

  The problem information acquisition unit 1052 detects a record having “problem ID” that matches “problem ID” “T012” read from the attribute correspondence information from the problem correspondence information shown in FIG. Get included problem information.

  The problem information output unit 106 transmits the problem information acquired by the problem information acquisition unit 1052 to the information processing apparatus 10 of the answerer whose user identification information requesting the problem is “U001”.

  The answerer who has received the problem information by the information processing apparatus 10 can learn using the problem by printing the problem information with a printer (not shown) or displaying the problem information on a display or the like.

  FIG. 10 is a diagram illustrating an example in which the problem information received by the information processing apparatus 10 is printed.

  As described above, according to the present embodiment, it is possible to present the next question to the answerer in consideration of various learning-related factors, and therefore present the optimum problem for the answerer's learning situation. Is possible. For example, it becomes possible to output a question suitable for the level of the answerer. As a result, the learning efficiency of the answerer (learner) can be increased. Moreover, it can also prevent that the motivation with respect to learning of an answerer (learner) falls.

  In the above specific example, the description has been given of the case where the “progress order”, which is information indicating the progress order, is used when determining the attribute according to the next problem determined by the attribute determination unit 1051. In the attribute correspondence information stored in the attribute correspondence information storage unit 102, the problem identification information of one problem, the next problem identification information that is identification information of the next problem, the difficulty level of the next problem, and the learning progress stage Attribute correspondence information in which information indicating attributes such as these are associated may be stored. Then, when the attribute determination unit 1051 acquires the attribute of the next problem of the one problem, the attribute of the difficulty of the next problem and / or the learning progress stage and the like are determined, and the problem identification information is included in the one problem identification information. The problem corresponding to the problem identification information that is associated with the next problem identification information that is associated with the attribute determined by the attribute determination unit 1051 and that is matched with the acquired next problem identification information. Information may be acquired from the problem handling information storage unit 103. That is, the next problem identification information associated with the attribute determined by the attribute determination unit 1051 is acquired from the next problem identification information associated with the one problem identification information and the one attribute. Problem information corresponding to the problem identification information that matches the next problem identification information may be acquired from the problem correspondence information storage unit 103.

  For example, as shown in FIG. 11, as the attribute correspondence information, “problem ID” that is problem identification information, “difficulty” that is attribute information, and “next problem ID” that is problem identification information of the next problem Is stored in the attribute correspondence information storage unit 102. The record has a “problem ID” that matches one piece of problem identification information that is identification information of the immediately preceding problem, and has a “difficulty” that matches the difficulty that is the attribute determined by the attribute determination unit 1051. The record may be searched, and the value of “next problem ID” of the record detected by the search may be acquired by the attribute determining unit 1051 as the next problem identification information.

  In the above case, in the attribute correspondence information stored in the attribute correspondence information storage unit 102, the evaluation index is associated as an attribute instead of the attribute indicating the difficulty level of the next problem and / or the learning progress stage, etc. You may make it leave. When the attribute determining unit 1051 acquires the attribute of the next question, an evaluation index for the answer of the answerer for the immediately previous question is acquired in the same manner as in the above specific example. Then, problem identification information associated with attribute information indicating an attribute having an evaluation index corresponding to the evaluation index may be acquired from the attribute correspondence information.

(Embodiment 2)
The problem information output device according to the present embodiment determines whether or not the plurality of learning related information as described above satisfies the condition information, and selects the next problem according to the determination result. Is.

  FIG. 12 is a block diagram showing the configuration of the problem information output device 2 according to this embodiment. The problem information output device 2 according to the present embodiment includes an answer correspondence information storage unit 101, a problem correspondence information storage unit 103, a next question correspondence information storage unit 204, a problem information acquisition unit 205, and a problem information output unit 106. .

  Since the answer correspondence information storage unit 101, the problem correspondence information storage unit 103, and the problem information output unit 106 are the same as those in the above-described embodiment, the description of the configuration and operation is omitted.

  The next problem correspondence information storage unit 204 stores next problem correspondence information. The next problem correspondence information associates the problem identification information, the condition information regarding two or more learning related information for the problem identified by the problem identification information, and the next problem identification information which is the problem identification information for identifying the next problem. Information. The two or more learning related information is, for example, a set of entry time information, non-entry time information, and correct / incorrect information. The two or more pieces of learning related information preferably include learning time information and correct / incorrect information. Note that the learning time information includes at least one of entry time information, non-entry time information, thinking time information, free time information, learning time zone information, and learning date information included in the learning time information. You can think of it as including time information. In addition, the condition information regarding two or more learning related information may be two or more condition information respectively corresponding to two or more learning related information, or calculated using two or more learning related information 1 It may be one condition information for the value of. Since the next problem identification information is the same information as the problem identification information except that it is related to the next problem, the description thereof will be omitted. In the next problem correspondence information storage unit 204, the problem identification information and the condition information related to two or more pieces of learning related information for the problem identified by the problem identification information are the same and are associated with different next problem identification information. Next problem response information may be stored. In the next problem correspondence information, the next problem identification information associated with one of the combinations of the problem identification information and the condition information related to two or more learning related information for the problem identified by the problem identification information. However, there may be a plurality. By using such next problem correspondence information, it is possible to output a plurality of problems when the learning related information satisfies the condition information. Further, since the condition information and the learning related information are the same as those described in the first embodiment, description thereof is omitted here. The next problem handling information storage unit 204 can be realized by a predetermined recording medium (for example, a semiconductor memory, a magnetic disk, an optical disk, or the like).

  Note that the answer correspondence information storage unit 101, the problem correspondence information storage unit 103, and the next question correspondence information storage unit 204 may be realized by the same recording medium, or may be realized by separate recording media. Good. In the former case, for example, the area storing the answer correspondence information is the answer correspondence information storage unit 101, and the area storing the problem correspondence information is the problem correspondence information storage unit 103.

  The question information acquisition unit 205 acquires the next question information output by the question information output unit 106 using the answer correspondence information, the next question correspondence information, and the problem correspondence information. That is, the problem information acquisition unit 205 associates two or more learning related information associated with one problem identification information with the answer correspondence information with the one problem identification information according to the next problem correspondence information 2. When each condition indicated by the condition information corresponding to each of the learning related information is satisfied, the problem correspondence information is associated with the next problem identification information associated with the one problem identification information with the next problem correspondence information. Get problem information. At this time, when there are a plurality of pieces of next problem identification information associated with one problem identification information in the next problem correspondence information, the problem information associated with each of the plurality of next problem identification information in the problem correspondence information May be obtained. In addition, the problem identification information and the condition information related to two or more learning related information for the problem identified by the problem identification information are the same, and next problem correspondence information that associates a plurality of different next problem identification information is stored. If there are two or more pieces of learning related information satisfying the respective conditions indicated by the condition information of the next problem correspondence information, the answer correspondence information having the problem identification information that matches the problem identification information of the next problem correspondence information. When the answer-corresponding information included is detected, the problem information associated with each of a plurality of different next-problem identification information included in the next-problem corresponding information may be acquired. Thereby, it is possible to acquire a plurality of next questions according to the learning related information.

  Specifically, when the problem information acquisition unit 205 acquires a problem next to a problem that the user has answered, first, the problem information acquisition unit 205 specifies answer correspondence information corresponding to the problem that the user has answered. And the problem information acquisition part 205 acquires the problem identification information matched with the identified answer corresponding information, two or more learning related information, here, learning time information, and correct / incorrect information. Next, the problem information acquisition unit 205 specifies one or more next problem response information that associates the acquired problem identification information with condition information and the like. The next problem response information identified in this way is generally 2 or more. After that, the problem information acquisition unit 205 responds to the next problem in which the answer time information and the correct / incorrect information that are the acquired learning related information satisfy both the answer time condition information and the correct / incorrect condition information that are the corresponding condition information. Information is identified by searching or the like from the identified one or more next problem response information. Then, the problem information acquisition unit 205 acquires the next problem identification information associated with the problem identification information in the finally specified next problem correspondence information. Finally, the problem information acquisition unit 205 uses the problem correspondence information stored in the problem correspondence information storage unit 103 to acquire problem information associated with the acquired next problem identification information.

  The problem information acquisition unit 205 can usually be realized by an MPU, a memory, or the like. The processing procedure of the problem information acquisition unit 205 is usually realized by software, and the software is recorded on a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

  Next, the operation of the problem information output apparatus 2 according to this embodiment will be described with reference to the flowchart of FIG.

  (Step S201) The question information acquisition unit 205 acquires learning-related information associated with one piece of problem identification information based on the answer correspondence information. The learning related information acquired here is preferably learning related information including learning time information and correct / incorrect information.

  (Step S202) The problem information acquisition unit 205 specifies one or more next problem correspondence information associated with one piece of problem identification information.

  (Step S203) The problem information acquisition unit 205 substitutes 1 for a counter n.

  (Step S204) The problem information acquisition unit 205 substitutes 1 for a counter k.

  (Step S205) The question information acquisition unit 205 determines whether or not the k-th learning related information satisfies the condition indicated by the condition information about the k-th learning related information associated with the n-th next problem correspondence information. Judging. If satisfied, the process proceeds to step S206. If not satisfied, the process proceeds to step S209.

  (Step S206) The problem information acquisition unit 205 increments the value of the counter k by 1.

  (Step S207) The problem information acquisition unit 205 determines whether there is k-th learning related information. If there is, the process returns to step S205, and if not, the process proceeds to step S208.

  (Step S208) The problem information acquisition unit 205 acquires the next problem identification information associated with the nth next problem response information. The acquired next problem identification information is accumulated in, for example, a storage medium (not shown).

  (Step S209) The problem information acquisition unit 205 increments the value of the counter n by 1.

  (Step S210) The problem information acquisition unit 205 determines whether or not the next problem response information identified in step S202 includes the nth next problem response information. If there is, the process returns to step S204, and if not, the process proceeds to step S211. ,

  (Step S211) The problem information acquisition unit 205 acquires problem information associated with the problem identification information that matches the one or more next problem identification information acquired in step S208, using the problem correspondence information.

  (Step S212) The problem information output unit 106 outputs the problem information acquired in step S210. Then, the process ends.

  Next, the operation of the problem information output apparatus 2 according to this embodiment will be described using a specific example. Here, the case where the answer correspondence information, the problem correspondence information, and the like are the same as the specific example of the first embodiment will be described as an example.

  FIG. 14 is a diagram illustrating an example of next problem correspondence information stored in the next problem correspondence information storage unit 204. The next question response information includes “question ID”, “entry time condition”, “thinking time condition”, “free time condition”, “score condition”, “learning time zone condition”, “learning day condition”, “consciousness condition” "," Writing pressure condition ", and" next problem ID "items (fields). “Problem ID”, “Entry time condition”, “Thinking time condition”, “Free time condition”, “Scoring condition”, “Learning time zone condition”, “Learning day condition”, “Consciousness condition”, and “Writing pressure” “Condition” is the same as each item of the problem condition correspondence information shown in FIG. “Entry time condition”, “Thinking time condition”, “Free time condition”, “Scoring condition”, “Learning time zone condition”, “Learning day condition”, “Consciousness condition”, and “Writing pressure condition” Is condition information corresponding to two or more learning related information. “Next question ID” is next question identification information.

  First, an answerer whose user identification information is “U001” operates the information processing apparatus 10 in the same manner as in the specific example of the first embodiment in order to perform learning using a problem. 2, it is assumed that information requesting transmission of a problem is transmitted.

  When the problem information output device 1 receives information requesting transmission of a problem via reception or the like (not shown), the problem information acquisition unit 205 corresponds to an answerer whose user identification information shown in FIG. 4 is “U001”. From the answer correspondence information, “question ID”, “entry time”, “thinking time”, “free time”, “score”, “study time zone”, “learning date”, “consciousness” of the record with the latest “date” The values of the “information” and “writing pressure” items are read out. Further, “T008” which is “Problem ID” is read from the same record. The read information is temporarily stored in a storage medium or the like.

  Next, the problem information acquisition unit 105 specifies a plurality of records whose “problem ID” is “T008” in the next problem response information illustrated in FIG.

  Whether or not the plurality of learning related information acquired from the answer corresponding information satisfies the plurality of condition information respectively corresponding to the plurality of learning related information for each record of the next question corresponding information identified by the question information acquisition unit 205 Determine whether. Then, the problem information acquisition unit 205 specifies a record of next problem response information in which the plurality of learning related information acquired from the answer correspondence information satisfies all the conditions indicated by the corresponding condition information. Then, the problem information acquisition unit 205 acquires the “next problem ID” of the finally specified record. Note that the process of determining whether or not each learning related information satisfies the condition information corresponding to each of the learning related information is the same as the process of determination performed by the attribute determining unit 105 in the specific example of the first embodiment. Omitted. Here, the plurality of learning related information acquired from the answer correspondence information is determined to satisfy the condition indicated by the condition information of the record of the next question correspondence information whose “next question ID” is “T012”, for example. “T012” is acquired as “ID”. If there are a plurality of “next question ID” values, the plurality of values are acquired.

  The problem information acquisition unit 205 searches for a record whose “problem ID” matches “T012”, which is the “next problem ID” acquired from the next problem response information, from the problem response information shown in FIG. Get the problem information contained in the detected record. If there are a plurality of “next problem IDs” acquired from the next problem corresponding information, the corresponding problem information is acquired in the same manner.

  The problem information output unit 106 transmits the problem information acquired by the problem information acquisition unit 205 to the information processing apparatus 10 of the answerer whose user identification information requesting the problem is “U001”.

  As described above, according to the present embodiment, it is possible to present the next question to the answerer in consideration of various learning-related factors, and therefore present the optimum problem for the answerer's learning situation. Is possible. As a result, efficient learning is possible.

  Here, a specific example of acquiring entry time information, non-entry time information, thinking time information, idle time information, and the like using the information transmitted from the electronic pen in the second embodiment will be described. Here, as an example, electronic pen transmission information, which is information transmitted from the electronic pen, is once received by the information processing device 20, and then transmitted from the information processing device 20 to the problem information output device 2 via a network or the like. The problem information output device 2 that has received the electronic pen transmission information by the receiving unit uses the electronic pen information received by the electronic pen information processing unit or the like to enter entry time information, non-entry time information, thought time information, The case where free time information and the like are acquired and the acquired information is stored in the answer correspondence information storage unit 101 will be described as an example.

  FIG. 15 is a block diagram showing an example of the problem information output device 2 having a configuration for acquiring entry time information, non-entry time information, thinking time information, idle time information, and the like using electronic pen transmission information. is there. 15, the same reference numerals as those in FIG. 12 denote the same or corresponding parts.

  The receiving unit 207 receives electronic pen transmission information. The received electronic pen transmission information is stored in, for example, a storage unit (not shown). The receiving unit 207 is usually realized by a wireless or wired communication means, but may be realized by a means for receiving a broadcast.

  The electronic pen information processing unit 208 uses the electronic pen transmission information received by the receiving unit 207 to acquire entry time information, non-entry time information, thought time information, free time information, and the like. The information is stored in the answer correspondence information storage unit 101. Details of the processing of the electronic pen information processing unit 208 will be described later. The electronic pen information processing unit 208 can be usually realized by an MPU, a memory, or the like. The processing procedure of the electronic pen information processing unit 208 is usually realized by software, and the software is recorded on a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

FIG. 16 is a diagram illustrating an example of electronic pen transmission information which is information transmitted from the electronic pen to the problem information output device 2. The electronic pen transmission information includes information of “coordinate (x, y)”, “pressure”, and “time”. “Coordinates (x, y)” is information on coordinates detected by the pen tip of the electronic pen. “Pressure” is information on the pressure applied to the pen tip of the electronic pen. The unit of pressure is an original unit. Note that x _n and y _n (n is an integer) are arbitrary values. “Time” is information of time when “coordinates (x, y)” and “pressure” are acquired. Here, for the sake of explanation, only the electronic pen transmission information acquired within a period during which an answer is made for one problem is shown as an example.

  The electronic pen information processing unit 208 of the problem information output device 2 acquires entry time information using the electronic pen transmission information received by the problem information output device 2. Specifically, the electronic pen information processing unit 208 calculates the difference in the “time” value of the electronic pen transmission information obtained sequentially from the time when the answer for one question starts, in order from the earliest time. If the difference in the value of “time” is less than the time specified in advance, it is determined that the entry has been made continuously with the electronic pen, and the difference in the “time” is entered as the entry time information. As we add. When it is determined that the difference in the “time” value is equal to or greater than the first threshold value specified in advance, the difference in the “time” value is added as non-entry time information. The entry time information and the non-entry time added until the time when the answer to the one question is completed become the entry time information and the non-entry time information for the one question, respectively. For example, when the first threshold value specified in advance is set to “3 seconds”, the electronic pen information processing unit 208 acquires the total time of the period 25 in FIG. A total of 26 is acquired as non-entry time information.

  Further, here, within the period in which the answer to the one question is being performed, the difference in the “time” value of the electronic pen transmission information obtained continuously is not less than the first threshold value described above. If the value is less than the second threshold value, which is larger than the first threshold value, the difference between the “time” values is acquired as the thinking time information and added.

  Similarly, the difference between the “time” values of the electronic pen transmission information acquired continuously is equal to or greater than the first threshold value described above, and is larger than the first threshold value. If it is equal to or greater than the threshold value, the difference between the “time” values is acquired as free time information and added.

Then, the thinking time information and the free time information added until the time when the answer to the one question is completed become the thinking time information and the free time information for the one question, respectively. For example, when the second threshold value specified in advance is “180 seconds”, the electronic pen information processing unit 208 acquires the total time of the period 27 in FIG. A total of 28 is acquired as free time information.
In addition, the electronic pen information processing unit 208 calculates an average value of “pressure” values within a period in which an answer to one problem is being performed, and the acquired value is one of electronic pen behavior information. Acquired as “writing pressure” information.

  As described above, it is possible to acquire entry time information, non-entry time information, thinking time information, idle time information, and the like using information output from the electronic pen.

In addition, although the case where the problem information output apparatus 2 of Embodiment 2 was used was demonstrated here, it is the same also when the problem information output apparatus 1 of the said Embodiment 1 is used. In addition, here, a case will be described in which entry time information, non-entry time information, thinking time information, idle time information, and the like are acquired by the problem information output device 2, but information processing is performed using electronic pen transmission information. The device 20 acquires entry time information, non-entry time information, thinking time information, vacant time information, and the like by the same processing as the problem information output device 2, and these acquired information is transmitted via a network or the like. Then, the information may be transmitted to the problem information output device 2, and the information transmitted by the problem information output device 2 may be received by a receiving unit (not shown) and stored in the answer correspondence information storage unit 101.

  In each of the above embodiments, each process (each function) may be realized by centralized processing by a single device (system), or by distributed processing by a plurality of devices. May be.

  Further, in each of the above embodiments, it goes without saying that two or more communication means (such as an information transmission unit) existing in one apparatus may be physically realized by one medium.

  In the above embodiment, information related to processing executed by each component, for example, information received, acquired, selected, generated, transmitted, and received by each component. In addition, information such as threshold values, mathematical formulas, addresses, etc. used by each component in processing is retained temporarily or over a long period of time on a recording medium (not shown) even when not explicitly stated in the above description. It may be. Further, the storage of information in the recording medium (not shown) may be performed by each component or a storage unit (not shown). Further, reading of information from the recording medium (not shown) may be performed by each component or a reading unit (not shown).

  Further, although cases have been described with the above embodiments where the problem information output device is a stand-alone device, the problem information output device may be a stand-alone device or a server device in a server / client system. . In the latter case, the output unit or the reception unit receives an input or outputs a screen via a communication line.

  In each of the above embodiments, each component may be configured by dedicated hardware, or a component that can be realized by software may be realized by executing a program. For example, each component can be realized by a program execution unit such as a CPU reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory.

  The software that realizes the problem information output device in each of the above embodiments is a program as described below. In other words, this program causes the computer to identify problem identification information for identifying a problem, learning time information that is information relating to time for learning performed using the problem identified by the problem identification information, and the problem identification information. Using the learning time information associated with the answer correspondence information stored in the answer correspondence information storage unit and the correct / incorrect information, which is information for associating correct / incorrect information, which is information on the correctness of the answer to the problem identified in The problem identification information indicating the problem to be output next of the problem indicated by the problem identification information associated with the learning time information and the correct / incorrect information is acquired, and the problem information corresponding to the problem identification information is Problem information acquired using problem response information, which is information that associates identification information with problem information that is information indicating a problem identified by the problem identification information. An acquisition unit, a program for functioning a problem information output unit that the problem information acquisition unit outputs the acquired issue information.

  In the above program, in a transmission step for transmitting information, a reception step for receiving information, etc., processing performed by hardware, for example, processing performed by a modem or an interface card in the transmission step (only performed by hardware). Not included) is not included.

  In the program, the functions realized by the program do not include functions that can be realized only by hardware. For example, a function that can be realized only by hardware such as a modem or an interface card in an acquisition unit that acquires information or an output unit that outputs information is not included in the function realized by the program.

  Further, the computer that executes this program may be singular or plural. That is, centralized processing may be performed, or distributed processing may be performed.

  FIG. 17 is a schematic diagram showing an example of the appearance of a computer that executes the program and realizes the problem information output apparatus according to the embodiment. The above-described embodiment can be realized by computer hardware and a computer program executed on the computer hardware.

  In FIG. 17, a computer system 900 includes a computer 901 including a CD-ROM (Compact Disk Read Only Memory) drive 905, an FD (Floppy (registered trademark) Disk) drive 906, a keyboard 902, a mouse 903, a monitor 904, and the like. Is provided.

  FIG. 18 is a diagram showing an internal configuration of the computer system 900. In FIG. 18, in addition to the CD-ROM drive 905 and the FD drive 906, a computer 901 is connected to an MPU (Micro Processing Unit) 911, a ROM 912 for storing a program such as a bootup program, and the MPU 911. A RAM (Random Access Memory) 913 that temporarily stores program instructions and provides a temporary storage space, a hard disk 914 that stores application programs, system programs, and data, and an MPU 911 and a ROM 912 are interconnected. And a bus 915. The computer 901 may include a network card (not shown) that provides connection to the LAN.

  A program for causing the computer system 900 to execute the function of the problem information output apparatus according to the above embodiment is stored in the CD-ROM 921 or the FD 922, inserted into the CD-ROM drive 905 or the FD drive 906, and stored in the hard disk 914. May be forwarded. Instead, the program may be transmitted to the computer 901 via a network (not shown) and stored in the hard disk 914. The program is loaded into the RAM 913 when executed. The program may be loaded directly from the CD-ROM 921, the FD 922, or the network.

  The program does not necessarily include an operating system (OS) or a third-party program that causes the computer 901 to execute the function of the problem information output apparatus according to the above-described embodiment. The program may include only a part of an instruction that calls an appropriate function (module) in a controlled manner and obtains a desired result. How the computer system 900 operates is well known and will not be described in detail.

  The present invention is not limited to the above-described embodiment, and various modifications are possible, and it goes without saying that these are also included in the scope of the present invention.

  As described above, the problem information output device or the like according to the present invention is suitable as a device or the like that outputs problem information. In particular, the problem information output device outputs the next problem information according to the answer to the previously output problem information. It is useful as a device for outputting information.

DESCRIPTION OF SYMBOLS 1, 2 Problem information output apparatus 10 Information processing apparatus 101 Answer corresponding | compatible information storage part 102 Attribute corresponding | compatible information storage part 103 Problem corresponding | compatible information storage part 104 Problem condition corresponding | compatible information storage part 105, 205 Problem information acquisition part 106 Problem information output part 204 Next Problem correspondence information storage unit 207 reception unit 208 electronic pen information processing unit 1051 attribute determination unit 1052 problem information acquisition unit

Claims (11)

Problem identification information for identifying a problem, learning time information that is information about time for learning performed using the problem identified by the problem identification information, and correctness of answers to the problem identified by the problem identification information An answer correspondence information storage unit capable of storing answer correspondence information, which is information for associating correct / incorrect information, which is information on,
A problem correspondence information storage unit capable of storing problem correspondence information, which is information associating problem identification information with problem information that is information indicating a problem identified by the problem identification information;
Using the learning time information associated with the answer correspondence information and the correct / incorrect information, the problem to be output next of the problem indicated by the learning time information and the problem identification information associated with the correct / incorrect information is determined. A problem information acquisition unit that acquires problem identification information to be acquired, and acquires problem information corresponding to the problem identification information using the problem response information;
A problem information output device comprising: a problem information output unit that outputs the problem information acquired by the problem information acquisition unit. An attribute correspondence information storage unit that can store attribute correspondence information that is information that associates problem identification information with attribute information that is information indicating the attribute of the problem identified by the problem identification information;
The problem information acquisition unit
Next, the learning time information and correct / incorrect information associated with the answer correspondence information and the attribute information associated with the learning time information and the problem identification information associated with the correct / incorrect information are output next. Attribute determination means for determining the attribute of the problem;
Problem information acquisition means for acquiring problem information indicating a problem identified by problem identification information corresponding to attribute information indicating the attribute determined by the attribute determination means using the attribute correspondence information and the problem correspondence information; The problem information acquisition part of Claim 1 provided. The learning time information includes entry time information indicating an entry time of an answer to the problem indicated by the problem identification information corresponding to the learning time information, and non-entry time information indicating a non-entry time,
The problem information acquisition unit
The problem information output device according to claim 1, wherein the problem information is acquired according to the entry time information and the non-entry time. The non-entry time information includes thought time information indicating thought time and / or free time information indicating free time,
The problem information output device according to claim 3, wherein the problem information acquisition unit acquires problem information according to thinking time information and / or free time information. The learning time information includes learning time zone information that is information indicating a time zone during which learning is performed,
The problem information output device according to claim 1, wherein the problem information acquisition unit acquires problem information according to the learning time zone information. The learning time information includes learning date information that is information related to a date on which learning is performed,
The problem information output device according to claim 1, wherein the problem information acquisition unit acquires problem information according to the learning date information. The answer correspondence information is information that further associates the problem identification information with consciousness information that is information indicating the strength of purpose consciousness when solving the problem indicated by the problem identification information,
The problem information output device according to claim 1, wherein the problem information acquisition unit acquires problem information according to the consciousness information. The answer correspondence information is information that further associates the problem identification information with electronic pen behavior information that is information related to the behavior of the electronic pen used when solving the problem indicated by the problem identification information,
The problem information output device according to claim 1, wherein the problem information acquisition unit acquires problem information according to the electronic pen behavior information. The problem information output device according to claim 8, wherein the electronic pen behavior information is information indicating a writing pressure of the electronic pen. Problem identification information for identifying a problem, learning time information that is information about time for learning performed using the problem identified by the problem identification information, and correctness of answers to the problem identified by the problem identification information An answer correspondence information storage unit that can store answer correspondence information that is information that correlates correct / incorrect information that is information related to the problem identification information, and problem information that is information indicating a problem identified by the problem identification information A problem information output method performed using a problem response information storage unit, a problem information acquisition unit, and a problem information output unit that can store problem response information as information,
The problem information acquisition unit uses the learning time information associated with the answer correspondence information and the correct / incorrect information to use the learning time information and the problem identified by the problem identification information associated with the correct / incorrect information. Acquiring problem identification information indicating a problem to be output, and acquiring problem information corresponding to the problem identification information using the problem response information; and
A problem information output method comprising: the problem information output unit outputting the problem information acquired in the problem information acquisition step; Computer
Problem identification information for identifying a problem, learning time information that is information about time for learning performed using the problem identified by the problem identification information, and correctness of answers to the problem identified by the problem identification information Using the learning time information associated with the answer correspondence information stored in the answer correspondence information storage unit and the correct / incorrect information, which is information associating the correct / incorrect information, which is information regarding the learning time information and the correct / incorrect information. The problem identification information indicating the problem to be output next of the problem indicated by the problem identification information associated with is acquired, and the problem information corresponding to the problem identification information is represented by the problem identification information and the problem identification information. A problem information acquisition unit that acquires problem information that is information that associates problem information that is information indicating a problem to be identified; and
The program for functioning as a problem information output part which outputs the problem information which the said problem information acquisition part acquired.

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