JP2020134753A - Information processing program, information processing method and information processing device - Google Patents

Abstract

To output an explanation that matches the understanding level of a user.SOLUTION: A storage part stores the cumulative number of times of incorrect answers and/or a ratio of the incorrect answers to questions respectively associated with a plurality of categories in each category in association with a user. A processing part outputs the questions respectively associated with the plurality of categories. The processing part determines whether an answer inputted by a user to an output question is correct or incorrect. The processing part outputs an explanation corresponding to the cumulative number of times of incorrect answers and/or the ratio of the incorrect answers of the corresponding user in a category associated with a question when an answer to the question is incorrect.SELECTED DRAWING: Figure 12

Description

The present invention relates to an information processing program, an information processing method and an information processing device.

It is considered to support the learning of the user by using information processing technology. For example, there is a proposal of an electronic learning machine that records the correct / incorrect status of answers several times in the past and asks questions with a higher probability as the number of correct answers is smaller.

There is also a proposal of a learning device that sequentially displays a predetermined number of learning questions on a display, accepts answers to the displayed contents via an input terminal, and determines a learner's proficiency class based on the presence or absence of the correct answer. The proposed learning device performs a test based on the number of questions determined according to the judgment of the proficiency class, determines the learning content based on the test result, and further sets the practice content based on the learning result.

Further, there is also a proposal of a test result analyzer that calculates the correct answer rate of each question or the correct answer rate or the score rate for each question field for each group of examinees having the same or similar total score of the test. The proposed test result analyzer evaluates each examinee's ability based on the relationship between the total score and the correct answer rate of each question, or the relationship between the total score and the correct answer rate or the score rate for each question field.

Japanese Unexamined Patent Publication No. 8-328459 Japanese Unexamined Patent Publication No. 9-101737 International Publication No. 2003/049063

When the information processing device is used to give a question to the user and then the information processing device is used to present the explanation to the user, if the same explanation is presented to all users, it depends on the difference in knowledge of each user. The commentary presented may interfere with the smooth learning of the user. For example, if a relatively long and detailed explanation is uniformly presented to all users, it will be helpful for a user with little knowledge, but it may take extra time for a user with a lot of knowledge to read. Also, for example, if a relatively short, simplified commentary is presented uniformly to all users, the burden of reading comprehension will be reduced for users with a lot of knowledge, but for users with little knowledge, knowledge will be fixed. It may be inadequate.

In one aspect, it is an object of the present invention to provide an information processing program, an information processing method, and an information processing apparatus capable of outputting an explanation suitable for a user's understanding level.

In one aspect, an information processing program is provided. This information processing program outputs questions associated with each of multiple categories, determines whether the answer entered by the user to the question is correct or incorrect, and if the answer to the question is incorrect. Allows the computer to perform a process that outputs a commentary according to the cumulative number of incorrect answers and / or the percentage of incorrect answers of the user in the category associated with the question.

Also, in one aspect, an information processing method is provided.
Also, in one aspect, an information processing device is provided.

On one side, it is possible to output a commentary that matches the level of understanding of the user.

It is a figure which shows the information processing apparatus of 1st Embodiment. It is a figure which shows the learning support system of 2nd Embodiment. It is a block diagram which shows the hardware example of a server. It is a block diagram which shows the functional example of a server. It is a figure which shows the example of the problem table. It is a figure which shows the example of the explanatory table. It is a figure which shows the example of the control table. It is a flowchart which shows the learning support example. It is a flowchart which shows the question processing example. It is a flowchart which shows the answer processing example. It is a figure which shows the example of the question processing. It is a figure which shows the output example of the explanation according to the level.

Hereinafter, the present embodiment will be described with reference to the drawings.
[First Embodiment]
The first embodiment will be described.

FIG. 1 is a diagram showing an information processing apparatus according to the first embodiment.
The information processing device 10 supports learning by the user. The user operates the terminal device 20. The information processing device 10 and the terminal device 20 are connected by, for example, a network.

The information processing device 10 is connected to the storage device 30. The storage device 30 may be built in the information processing device 10 or may be externally attached to the information processing device 10. The information processing device 10 may be connected to the storage device 30 via a network. The storage device 30 stores the question table 31 and the explanation table 32. The question table 31 holds information on questions classified by category. The commentary table 32 holds commentary information corresponding to the question.

The information processing device 10 outputs a question to the terminal device 20 based on the question table 31 stored in the storage device 30. The terminal device 20 has a built-in display device or is connected to the display device, and displays the contents of the question by the display device. The terminal device 20 receives input of an answer by the user to the question, and outputs the input answer to the information processing device 10. Based on the commentary table 32, the information processing device 10 outputs a commentary for promoting understanding of the content asked in the question to the terminal device 20. The terminal device 20 displays the content of the explanation on the display device.

The information processing device 10 provides a function of supporting smooth learning by the user. The information processing device 10 has a storage unit 11 and a processing unit 12.
The storage unit 11 may be a volatile storage device such as a RAM (Random Access Memory) or a non-volatile storage device such as an HDD (Hard Disk Drive) or a flash memory. The processing unit 12 may include a CPU (Central Processing Unit), a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), and the like. The processing unit 12 may be a processor that executes a program. The term "processor" as used herein may include a set of a plurality of processors (multiprocessor).

The storage unit 11 stores the control table 13. The control table 13 holds the cumulative number of incorrect answers and / or the ratio of incorrect answers to the questions associated with each of the plurality of categories for each category in association with the user (for example, user identification information). In the example of the first embodiment, the control table 13 is provided for each user.

For example, the control table 13 includes a category, the number of questions, the number of consecutive correct answers, the cumulative number of incorrect answers, the percentage of incorrect answers, and the pass items. The name or identification information of the category is registered in the item of the category. In the item of the number of questions, the number of questions in the corresponding category is registered. The number of consecutive correct answers is registered in the item of the number of consecutive correct answers. The cumulative number of incorrect answers is registered in the item of cumulative number of incorrect answers. In the item of the ratio of incorrect answers, the ratio of incorrect answers to the number of questions (= cumulative number of incorrect answers / number of questions) is registered (in the example of the control table 13, the ratio is expressed as a percentage). In the pass item, information indicating whether or not the corresponding category has passed is registered. Pass is "TRUE" and fail is "FALSE". For example, the passing item is used to control the output of questions in the corresponding category. The initial value of each item of the number of questions, the number of consecutive correct answers, and the cumulative number of incorrect answers is 0. The initial value of the incorrect answer ratio item is 0%. The initial value of the pass item is "FALSE".

Here, an example of the data structure of the question table 31 and the explanation table 32 stored in the storage device 30 will also be described. The question table 31 holds the name or identification information of the category, the question ID (IDentifier), the problem content, and the explanation ID in association with each other. The question table 31 may further hold information on the correct answer corresponding to the question ID. The commentary table 32 holds the commentary ID, the level, and the commentary content in association with each other. Here, the level is an index showing the difficulty of reading the commentary content or the amount of description. In one example, the higher the level, the more detailed the commentary, the lower the difficulty of reading the commentary (or the number of characters), and the lower the level, the simpler the commentary, the more difficult the reading comprehension. Is high (or the number of characters is small).

The processing unit 12 outputs questions associated with each of the plurality of categories based on the question table 31. For example, the processing unit 12 outputs the question of the question ID “p1” corresponding to the category “A” to the terminal device 20 based on the question table 31. The processing unit 12 increments the number of questions in the corresponding category in the control table 13 with respect to the category corresponding to the output question. The processing unit 12 receives the input result of the answer to the question of the question ID "p1" by the user from the terminal device 20.

The processing unit 12 determines whether the answer input by the user to the output question is a correct answer or an incorrect answer. The processing unit 12 updates the record related to the corresponding category in the control table 13 according to the determination result of the correct answer or the incorrect answer. For example, when the processing unit 12 receives the answer to the question with the question ID "p1", it determines whether or not it matches the correct answer registered in advance in the storage device 30 (question table 31 or the like). If the pre-registered correct answer and the input answer match, the processing unit 12 determines that the answer is correct. If the pre-registered correct answer and the input answer do not match, the processing unit 12 determines that the answer is incorrect.

If the answer is correct, the processing unit 12 increments the number of consecutive correct answers in the corresponding category of the control table 13. In the case of incorrect answers, the processing unit 12 resets the number of consecutive correct answers in the corresponding category of the control table 13 to 0, and increments the cumulative number of incorrect answers. The processing unit 12 calculates the percentage of incorrect answers in the corresponding category regardless of whether the answer is correct or incorrect, and updates the percentage of incorrect answers in the corresponding category in the control table 13. The processing unit 12 sets the pass item to "FALSE" or "TRUE" based on the number of consecutive correct answers. In the example of FIG. 1, the processing unit 12 sets the pass item to "TRUE" for the category in which the number of consecutive correct answers reaches "7", and sets the pass item to "FALSE" for the other categories.

When the answer to the question is incorrect, the processing unit 12 outputs a commentary according to the cumulative number of incorrect answers and / or the percentage of incorrect answers of the corresponding user in the category associated with the question. For example, the processing unit 12 determines the commentary level based on the cumulative number of incorrect answers or the percentage of incorrect answers, acquires the content of the commentary according to the determined level from the commentary table 32, and outputs it to the terminal device 20. ..

For example, the storage unit 11 stores in advance the first level information that defines the level for each range of the cumulative number of incorrect answers or the range of the ratio of incorrect answers, and the processing unit 12 stores the first level. The level of commentary may be determined based on the information. More specifically, in the first level information, the smaller the cumulative number of incorrect answers or the percentage of incorrect answers, the lower the level (simplified explanation), and the larger the cumulative number of incorrect answers or the percentage of incorrect answers, the higher the level. It is conceivable to set the level so that it is a level (detailed explanation).

Alternatively, the storage unit 11 stores in advance the second level information that defines the level for each range of the cumulative number of incorrect answers and the range of the ratio of incorrect answers, and the processing unit 12 stores the second level. The level of commentary may be determined based on the information. More specifically, in the second level information, it is conceivable to determine the correspondence with the commentary level for each set of the range of the cumulative number of incorrect answers and the range of the ratio of incorrect answers. For example, in the second level information, the smaller the cumulative number of incorrect answers and the percentage of incorrect answers, the lower the level (simplified explanation), and the larger the cumulative number of incorrect answers and the percentage of incorrect answers, the higher the level (detailed). It is conceivable to set the level so that it is (explanation).

In the example of the control table 13, the ratio of incorrect answers to the category “A” is “50%”. For example, in this case, the processing unit 12 determines that the level of explanation for the category "A" is "2". Then, the processing unit 12 refers to the question of the question ID "p1" belonging to the category "A" among the commentary contents of the levels "1", "2", and "3" of the commentary ID "c1" in the commentary table 32. Output the explanation contents of level "2".

In this way, the information processing device 10 outputs the explanation output according to the degree of understanding of the user to the terminal device 20. The terminal device 20 displays the content of the explanation on the display device and presents it to the user.

According to the information processing device 10, questions associated with each of the plurality of categories are output. It is determined whether the answer input by the user to the output question is correct or incorrect. When the answer to the question is incorrect, the commentary according to the cumulative number of incorrect answers and / or the percentage of incorrect answers of the corresponding user in the category associated with the question is output.

As a result, the commentary can be output according to the answer to the question. In addition, it is possible to output a commentary that matches the degree of understanding of the user.
Here, if the same commentary is presented to all users by the information processing device 10, the presented commentary may hinder the smooth learning of the user depending on the difference in the presence or absence of knowledge for each user. For example, a relatively long, detailed commentary may help a less knowledgeable user to understand, but a more knowledgeable user may take extra time to read. In addition, a relatively short and simplified explanation may reduce the burden of reading comprehension for a user with a large amount of knowledge, but may not be sufficiently understood by a user with a small amount of knowledge.

Therefore, when the answer to the question is incorrect, the information processing device 10 outputs a commentary according to the cumulative number of incorrect answers and / or the percentage of incorrect answers of the corresponding user in the category associated with the question. So that the learning by the user can be done smoothly.

For example, when the cumulative number of incorrect answers and / or the ratio of incorrect answers in a certain category is low, the information processing device 10 estimates that the user's understanding of the corresponding category is high, and outputs a simplified explanation. To do. As a result, it is possible to shorten the time required for reading the commentary for a user who has a lot of knowledge about the corresponding category, and the learning can proceed smoothly.

Further, for example, when the cumulative number of incorrect answers and / or the ratio of incorrect answers in a certain category is high, the information processing apparatus 10 estimates that the user's understanding of the corresponding category is low and outputs a detailed explanation. To do. As a result, it is possible to appropriately encourage users who have little knowledge of the relevant category to acquire the knowledge.

Further, the information processing device 10 can also control the questions in the category according to the number of consecutive correct answers in the category associated with the question when the answer to the question is correct. For example, the processing unit 12 may control to stop the questioning of the category in which the number of consecutive correct answers has reached a predetermined value (or the passing item is "TRUE"). As a result, the questions to be asked can be narrowed down to categories in which the user's knowledge is presumed to be poor, and the time required for the user to fix the knowledge can be shortened.

[Second Embodiment]
Next, a second embodiment will be described.
FIG. 2 is a diagram showing a learning support system according to the second embodiment.

The learning support system of the second embodiment has a server 100 and a client 200. The server 100 and the client 200 are connected to the network 50. The network 50 may be a LAN (Local Area Network), a WAN (Wide Area Network), the Internet, or the like.

The server 100 is a server computer that supports learning by the user. The server 100 transmits a problem and a commentary to the client 200. Learning performed using information processing technology, such as the learning support system of the second embodiment, is sometimes called e-learning. The server 100 is an example of the information processing device 10 of the first embodiment.

The client 200 is a client computer operated by a user. The client 200 presents the problem to the user by displaying the problem received from the server 100 on the display of the client 200. The client 200 receives the input of the answer to the problem by the user and sends it to the server 100. When the client 200 receives the commentary on the problem from the server 100, the client 200 presents the commentary to the user by displaying the received commentary on the display. The client 200 is an example of the terminal device 20 of the first embodiment.

FIG. 3 is a block diagram showing an example of server hardware.
The server 100 includes a CPU 101, a RAM 102, an HDD 103, an image signal processing unit 104, an input signal processing unit 105, a medium reader 106, and a NIC (Network Interface Card) 107. The CPU 101 corresponds to the processing unit 12 of the first embodiment. The RAM 102 or the HDD 103 corresponds to the storage unit 11 of the first embodiment.

The CPU 101 is a processor that executes a program instruction. The CPU 101 loads at least a part of the programs and data stored in the HDD 103 into the RAM 102 and executes the program. The CPU 101 may include a plurality of processor cores. Further, the server 100 may have a plurality of processors. The processes described below may be performed in parallel using multiple processors or processor cores. In addition, a set of a plurality of processors may be referred to as a "multiprocessor" or simply a "processor".

The RAM 102 is a volatile semiconductor memory that temporarily stores a program executed by the CPU 101 and data used by the CPU 101 for calculation. The server 100 may be provided with a type of memory other than RAM, or may be provided with a plurality of memories.

The HDD 103 is a non-volatile storage device that stores software programs such as an OS (Operating System), middleware, and application software, and data. The server 100 may be provided with other types of storage devices such as a flash memory and an SSD (Solid State Drive), or may be provided with a plurality of non-volatile storage devices.

The image signal processing unit 104 outputs an image to the display 111 connected to the server 100 in accordance with a command from the CPU 101. As the display 111, any kind of display such as a CRT (Cathode Ray Tube) display, a liquid crystal display (LCD: Liquid Crystal Display), a plasma display, and an organic EL (OEL: Organic Electro-Luminescence) display can be used.

The input signal processing unit 105 acquires an input signal from the input device 112 connected to the server 100 and outputs the input signal to the CPU 101. As the input device 112, a pointing device such as a mouse, a touch panel, a touch pad, or a trackball, a keyboard, a remote controller, a button switch, or the like can be used. Further, a plurality of types of input devices may be connected to the server 100.

The medium reader 106 is a reading device that reads programs and data recorded on the recording medium 113. As the recording medium 113, for example, a magnetic disk, an optical disk, a magneto-optical disk (MO), a semiconductor memory, or the like can be used. The magnetic disk includes a flexible disk (FD) and an HDD. Optical discs include CDs (Compact Discs) and DVDs (Digital Versatile Discs).

The medium reader 106, for example, copies a program or data read from the recording medium 113 to another recording medium such as the RAM 102 or the HDD 103. The read program is executed by, for example, the CPU 101. The recording medium 113 may be a portable recording medium, and may be used for distribution of programs and data. Further, the recording medium 113 and the HDD 103 may be referred to as a computer-readable recording medium.

The NIC 107 is an interface that is connected to the network 50 and communicates with another computer via the network 50. The NIC 107 is connected to a communication device such as a switch or a router by a cable.

The client 200 is also realized by the same hardware as the server 100.
FIG. 4 is a block diagram showing a functional example of the server.
The server 100 has a problem storage unit 120, an explanation storage unit 130, a control information storage unit 140, a question unit 150, and an explanation output unit 160. The problem storage unit 120, the explanation storage unit 130, and the control information storage unit 140 are realized by using the storage area of the RAM 102 or the HDD 103. The question unit 150 and the explanation output unit 160 are realized by the CPU 101 executing the program stored in the RAM 102.

The problem storage unit 120 stores the problem table. The problem table is information in which the contents of the problems classified by category are registered. The category corresponds to, for example, the field of knowledge to be learned. As an example, the education of engineers and the like can be considered into categories such as "legal affairs", "production control", "quality control", "manufacturing technology" and "product technology".

The commentary storage unit 130 stores the commentary table. The commentary table is information in which the content of the commentary for the problem is registered. For one problem, the contents of a plurality of explanations according to the user's explanation level are registered in the explanation table.

The control information storage unit 140 stores the control table. The control table is information in which the number of questions for each category, the cumulative number of correct answers, the continuous cumulative number of correct answers, the cumulative number of incorrect answers (cumulative number of incorrect answers), the correct answer rate, and the like are registered. The control table is used for the question control by the question unit 150 and the output control of the commentary by the commentary output unit 160.

The question unit 150 performs question processing based on the question table and the control table. The question unit 150 selects a question registered in the question table and sends it to the client 200. The question unit 150 records the number of questions, the number of correct answers, the number of consecutive correct answers, etc. for each category in the control table, and selects the question to be output according to the number of consecutive correct answers and the correct answer rate.

The commentary output unit 160 performs commentary output processing based on the commentary table and the control table. The commentary output unit 160 determines the level of commentary to be output based on the correct answer rate of the user for each category recorded in the control table, and among the commentary registered in the commentary table, the commentary corresponding to the determined level. Select. The commentary output unit 160 transmits the selected commentary to the client 200.

FIG. 5 is a diagram showing an example of a problem table.
The problem table 121 is stored in the problem storage unit 120 in advance. The question table 121 includes items of category ID, question ID, question content, correct answer, and commentary ID.

Category identification information (category ID) is registered in the category ID item. Problem identification information (problem ID) is registered in the problem ID item. The content of the problem is registered in the item of problem content. The content of the problem is described in text. The content of the problem may include image information. The content of the question also includes information about the answer (eg, answer options). In the correct answer item, information indicating the correct answer to the question is registered (for example, when the answer is selected and input from a plurality of options, the option that is the correct answer). In the item of commentary ID, identification information (commentary ID) of commentary for the corresponding problem is registered.

For example, in the question table 121, a record having a category ID of "X", a question ID of "1", a question content of "(...)", a correct answer of "a", and a commentary ID of "1" is registered. ing. In this record, the question with question ID "1" belongs to the category with category ID "X", the content of the question is "(...)", the correct answer to the question is "a", and the question is Indicates that the commentary is a commentary of the commentary ID "1".

Here, for example, when the server 100 functions as a Web server and the client 200 functions as a Web browser, the server 100 can provide the content of the problem to the client 200 by means of an HTML (HyperText Markup Language) file. In that case, the HTML file indicating the content of the problem or the pointer (or path) indicating the HTML file may be stored in the item of the problem content of the problem table 121.

FIG. 6 is a diagram showing an example of an explanation table.
The commentary table 131 is stored in the commentary storage unit 130 in advance. The commentary table 131 includes items of commentary ID, level, and commentary content.

The commentary ID is registered in the commentary ID item. The commentary level is registered in the level item. As an example, it is assumed that the lower the level, the simpler the content of the explanation, and the higher the level, the more detailed the content of the explanation. The content of the commentary is registered in the item of the commentary content. The content of the commentary is described in text. The content of the explanation may include image information.

For example, in the commentary table 131, a record having a commentary ID of "1", a level of "1", and a commentary content of "(...)" is registered. This record indicates that the content of the commentary corresponding to the commentary level "1" of the commentary ID "1" is "(...)". In the commentary table 131, the commentary contents of the levels "2" and "3" are also registered for the commentary ID "1".

Similar to the problem table 121, the HTML file indicating the content of the explanation and the pointer (or path) indicating the HTML file may be stored in the item of the explanation content of the explanation table 131.

FIG. 7 is a diagram showing an example of a control table.
The control table 141 is provided for each user and is updated by the question unit 150. The control table 141 includes items of category ID, number of questions, cumulative number of correct answers, continuous cumulative number of correct answers, cumulative number of incorrect answers, question flag, correct answer rate, level, and question rate.

The category ID is registered in the category ID item. In the item of the number of questions, the number of questions of the corresponding category is registered. In the item of cumulative number of correct answers, the cumulative number of correct answers for the questions in the corresponding category is registered. In the item of the number of consecutive correct answers, the cumulative number of consecutive correct answers for the problems of the corresponding category is registered. In the item of cumulative number of incorrect answers, the cumulative number of incorrect answers for the problem of the corresponding category is registered. In the item of the question flag, a flag for controlling whether or not to ask a question of the corresponding category is registered. For example, the question flag "0" indicates that the question is given, and the question flag "1" indicates that the question is not given. In the item of correct answer rate, the correct answer rate for the problem of the corresponding category is registered. In the level item, the level of commentary to be output for the problem of the corresponding category is registered. In the question rate item, parameters indicating the question rate according to the level are registered. As for the parameter in the question rate, the larger the numerical value, the priority is given to the question (question frequency is increased).

The initial values of the number of questions, the cumulative number of correct answers, the continuous cumulative number of correct answers, and the cumulative number of incorrect answers are "0". The initial value of the question flag is "0". The initial value of the correct answer rate is "0%". The initial value of the level is "3". The initial value of the question rate is "1".

For example, in the control table 141, the category ID is "X", the number of questions is "50", the cumulative number of correct answers is "20", the continuous cumulative number of correct answers is "5", the cumulative number of incorrect answers is "30", and the question flag. Is "0", the correct answer rate is "40%", the level is "3", and the question rate is "1". In this record, the number of questions for the category of category ID "X" is 50 times, the cumulative number of correct answers is 20 times, the continuous cumulative number of correct answers is 5 times, and the cumulative number of incorrect answers is 30 times for a certain user. Is shown. In addition, in this record, the category is the target of questions for the corresponding user (question flag "0"), the correct answer rate is 40%, the level of commentary to be output is "3", and the questions are asked. Indicates that the rate parameter is "1".

Records related to other categories are also registered in the control table 141.
In the control table 141, the cumulative number of incorrect answers (incorrect answer rate) may be registered instead of the correct answer rate. The incorrect answer rate can be obtained by (100% -correct answer rate) or "(cumulative number of incorrect answers / number of questions) * 100%". When using the incorrect answer rate, "100%" may be used as the initial value of the incorrect answer rate item in the control table 141.

Next, the processing procedure of the server 100 will be described.
FIG. 8 is a flowchart showing an example of learning support.
(S10) When the question unit 150 receives the instruction to start learning by the user from the client 200, the question unit 150 executes the initial setting process. Specifically, the question unit 150 generates the control table 141 for the corresponding user and sets the initial value for each item of the control table 141.

(S11) The questioning unit 150 refers to the control table 141 and determines whether or not all the categories have passed. If all the categories pass, the process proceeds to step S17. If all the categories do not pass, the process proceeds to step S12. “Pass” indicates that the question flag of the control table 141 is “1”.

(S12) The questioning unit 150 performs questioning processing based on the control table 141. In the question processing, one question of a certain category is selected and set. The details of the question processing will be described later.
(S13) The question unit 150 receives an answer from the client 200 according to the question in step S12.

(S14) The questioning unit 150 performs answer processing according to the correctness of the answer and updates the control table 141. The details of the answer processing will be described later.
(S15) The explanation output unit 160 determines whether or not the answer to the question given this time is an incorrect answer based on the notification of the determination result of the correctness of the answer by the question unit 150 in step S14. If the answer is incorrect, the process proceeds to step S16. If the answer is correct, the process proceeds to step S11.

(S16) The commentary output unit 160 outputs commentary according to the level. Specifically, the explanation output unit 160 refers to the control table 141 and acquires the level of the category to which the problem posed this time belongs. The commentary output unit 160 searches the question table 121 for the commentary ID corresponding to the question ID of the question given this time. The commentary output unit 160 acquires the acquired level and the commentary content corresponding to the searched commentary ID from the commentary table 131, and outputs the commentary to the client 200. Then, the process proceeds to step S11.

(S17) The question unit 150 outputs an end screen indicating the end of learning to the client 200. Then, the learning support process is completed.
In this way, when the answer to the question is incorrect, the server 100 responds to the cumulative number of incorrect answers and / or the percentage of incorrect answers (or the correct answer rate) of the corresponding user in the category associated with the question. By outputting the commentary, the learning by the corresponding user can be performed smoothly. If there are a plurality of users, the above processing is performed for each user, so that learning by each user can be facilitated. As will be described later, in step S16, when the answer to the current question is incorrect, the commentary output unit 160 counts the cumulative number of incorrect answers and / or the percentage of incorrect answers in the category associated with the question. And the commentary according to the number of consecutive correct answers in the category until the answer becomes incorrect this time may be output.

FIG. 9 is a flowchart showing an example of question processing.
The question processing corresponds to step S12.
(S20) The questioning unit 150 determines whether or not there is a category in which the number of consecutive correct answers is a predetermined number of times or more (that is, a passing category) with reference to the control table 141. If there is a category (passing category) in which the number of consecutive correct answers is a predetermined number or more, the process proceeds to step S21. If there is no category (passing category) in which the number of consecutive correct answers is more than a predetermined number of times, the process proceeds to step S22.

(S21) The question unit 150 excludes a category (passing category) in which the number of consecutive correct answers is a predetermined number or more from the current question candidates.
(S22) The questioning unit 150 preferentially selects a category having a low correct answer rate from among the questioning candidate categories. Specifically, the questioning unit 150 refers to the questioning rate of each category of the questioning candidates with reference to the control table 141. The question unit 150 preferentially selects one of the categories of the question candidates, which has a high question rate. The question unit 150 adds 1 to the number of questions in the selected category in the control table 141. Here, if there is no exclusion of the question candidate categories in step S21, for example, all the categories registered in the question table 121 are question candidates.

(S23) The question unit 150 selects one question in the category selected in step S22. For example, it is conceivable to preferentially select an unquestioned question from a plurality of questions belonging to the corresponding category over a question that has already been asked.

(S24) The question unit 150 outputs the question selected in step S23 to the client 200. Then, the question processing is completed.
FIG. 10 is a flowchart showing an example of answer processing.

The response process corresponds to step S14.
(S30) The questioning unit 150 refers to the question table 121 and determines whether or not the answer received from the client 200 is correct. If the answer is correct, the process proceeds to step S31. If the answer is incorrect, the process proceeds to step S35. Here, if the received answer matches the set value of the correct answer registered in the question table 121 for the question given this time, it is a correct answer, and if it does not match, it is an incorrect answer. The question unit 150 notifies the commentary output unit 160 of the result of determining whether the answer is correct or not.

(S31) The questioning unit 150 adds 1 to the cumulative number of correct answers in the category to which the question given this time belongs in the control table 141.
(S32) In the control table 141, the questioning unit 150 adds 1 to the continuous cumulative number of correct answers in the category to which the question given this time belongs.

(S33) The questioning unit 150 determines whether or not the continuous cumulative number of correct answers in the category to which the question given this time belongs has reached a predetermined value with reference to the control table 141. When the cumulative number of consecutive correct answers in the category reaches a predetermined value, the process proceeds to step S34. If the cumulative number of consecutive correct answers in the category has not reached a predetermined value, the process proceeds to step S37. Here, the predetermined value is preset in the problem storage unit 120. For example, the predetermined value is set to a value such as 5 times or 10 times depending on the learning content.

(S34) The questioning unit 150 sets the questioning flag of the corresponding category to 1 in the control table 141. That is, the corresponding category becomes "pass", and thereafter, it is excluded from the question candidates by step S21. Then, the process proceeds to step S37.

(S35) The questioning unit 150 adds 1 to the cumulative number of incorrect answers in the category to which the question given this time belongs in the control table 141.
(S36) The questioning unit 150 resets the continuous cumulative number of correct answers in the category to which the question given this time belongs to 0 in the control table 141. Then, the process proceeds to step S37.

(S37) The questioning unit 150 calculates the correct answer rate of the category to which the question given this time belongs and registers it in the control table 141. The correct answer rate is calculated when the number of questions is a predetermined number or more (for example, 5 times or more), and may not be calculated in other cases. If the correct answer rate is not calculated, step S38 may be skipped.

(S38) The question unit 150 determines the level of explanation (or the level of knowledge (understanding) of the user) according to the correct answer rate calculated in step S37. Information on the level determination criteria is stored in advance in the problem storage unit 120. In one example, if the correct answer rate is greater than 70%, the level is "1", if the correct answer rate is greater than 50% and 70% or less, the level is "2", and if the correct answer rate is 50% or less, the level is "2". 3 "can be considered. The questioning unit 150 registers the determined level in the control table 141. In the above example, if the incorrect answer rate is 30% or less, the level is "1", and if the incorrect answer rate is greater than 30% and 50% or less, the level is "2". If the rate is greater than 50%, the level will be "3".

(S39) The questioning unit 150 determines the questioning rate of the corresponding category according to the level determined in step S38. For example, the question rate is "1" when the level is "3", the question rate is "2" when the level is "2", and the question rate is "3" when the level is "1". The questioning unit 150 registers the determined questioning rate in the control table 141. Then, the answer processing is completed.

FIG. 11 is a diagram showing an example of question processing.
Here, it is assumed that the question candidate categories are "X", "Y", and "Z". The correct answer is represented as "T (True)" and the incorrect answer is represented as "F (False)". Further, the continuous cumulative number of correct answers a in category X is represented as "X: a". In FIG. 11, the direction from the upper side to the lower side is the positive direction of time.

Table 300 shows a time series of questions belonging to the categories "X", "Y", and "Z", answers to each question, and the cumulative number of consecutive correct answers. The initial values of the continuous cumulative number of correct answers are "X: 0", "Y: 0", and "Z: 0". In the example of FIG. 11, the question unit 150 sets the threshold value of the continuous cumulative number of correct answers to "3", and when the continuous cumulative number of correct answers reaches the threshold value "3" for a certain category, determines the category as passing and the control table 141. It is assumed that the question flag of the relevant category in is set to "1". When the user logs in to the server 100 using the client 200 and starts learning, the server 100 starts asking questions belonging to the categories "X", "Y", and "Z".

A commentary is sent from the server 100 to the client 200 each time a question and an answer are given to each question, and the content of the commentary is presented to the user by the client 200. However, the explanation of the explanation output process is omitted here. are doing.

The first question is the problem of category "X". The user's answer to the first question is correct. The number of consecutive correct answers is "X: 1", "Y: 0", and "Z: 0".
The second question is the question of category "Y". The user's answer to the second question is incorrect. The number of consecutive correct answers is "X: 1", "Y: 0", and "Z: 0".

The third question is the question of category "Z". The user's answer to the third question is correct. The number of consecutive correct answers is "X: 1", "Y: 0", and "Z: 1".
The fourth question is the problem of category "X". The user's answer to the fourth question is incorrect. The number of consecutive correct answers is "X: 0", "Y: 0", and "Z: 1". That is, the record of the continuous cumulative number of correct answers for the category "X" (continuous recording) is cleared.

The fifth question is the question of category "Y". The user's answer to the fifth question is correct. The number of consecutive correct answers is "X: 0", "Y: 1", and "Z: 1".
The sixth question is the question of category "Z". The user's answer to question 6 is incorrect. The number of consecutive correct answers is "X: 0", "Y: 1", and "Z: 0". That is, the recording of the continuous cumulative number of correct answers for the category "Z" (continuous recording) is cleared.

The seventh question is the problem of category "X". The user's answer to question 7 is correct. The number of consecutive correct answers is "X: 1", "Y: 1", and "Z: 0".
The eighth question is the question of category "Y". The user's answer to question 8 is incorrect. The number of consecutive correct answers is "X: 1", "Y: 0", and "Z: 0". That is, the recording of the continuous cumulative number of correct answers for the category "Y" (continuous recording) is cleared.

The ninth question is the problem of category "Z". The user's answer to question 9 is correct. The number of consecutive correct answers is "X: 1", "Y: 0", and "Z: 1".
The tenth question is the problem of category "X". The user's answer to question 10 is correct. The number of consecutive correct answers is "X: 2", "Y: 0", and "Z: 1".

The eleventh question is the problem of category "Y". The user's answer to question 11 is incorrect. The number of consecutive correct answers is "X: 2", "Y: 0", and "Z: 1".
The twelfth question is the problem of category "Z". The user's answer to question 12 is incorrect. The number of consecutive correct answers is "X: 2", "Y: 0", and "Z: 0". That is, the recording of the continuous cumulative number of correct answers for the category "Z" (continuous recording) is cleared.

The thirteenth question is the problem of category "X". The user's answer to question 13 is correct. The number of consecutive correct answers is "X: 3", "Y: 0", and "Z: 0". Category "X" is passed because the cumulative number of consecutive correct answers has reached the threshold value "3", and no questions are asked after that.

The 14th question is the question of category "Y". The user's answer to the 14th question is correct. The number of consecutive correct answers is "X: 3", "Y: 1", and "Z: 0".
The fifteenth question is the question of category "Z". The user's answer to the 15th question is correct. The number of consecutive correct answers is "X: 3", "Y: 1", and "Z: 1".

The 16th question is the problem of category "Z". The user's answer to the 16th question is correct. The number of consecutive correct answers is "X: 3", "Y: 1", and "Z: 2".
The 17th question is the question of category "Y". The user's answer to the 17th question is correct. The number of consecutive correct answers is "X: 3", "Y: 2", and "Z: 2".

The eighteenth question is the question of category "Z". The user's answer to question 18 is incorrect. The number of consecutive correct answers is "X: 3", "Y: 2", and "Z: 0". That is, the recording of the continuous cumulative number of correct answers for the category "Z" (continuous recording) is cleared.

The 19th question is the question of category "Y". The user's answer to the 19th question is correct. The number of consecutive correct answers is "X: 3", "Y: 3", and "Z: 0". Category "Y" is passed because the cumulative number of consecutive correct answers has reached the threshold value "3", and no questions are asked after that.

The twentieth question is the problem of category "Z". The user's answer to the 20th question is correct. The number of consecutive correct answers is "X: 3", "Y: 3", and "Z: 1".
The 21st question is the problem of category "Z". The user's answer to the 21st question is correct. The number of consecutive correct answers is "X: 3", "Y: 3", and "Z: 2".

The 22nd question is the question of category "Z". The user's answer to the 22nd question is correct. The number of consecutive correct answers is "X: 3", "Y: 3", and "Z: 3". Category "Z" is passed because the cumulative number of consecutive correct answers has reached the threshold value "3". Since all of the question candidate categories "X", "Y", and "Z" have passed, the user's learning ends.

In this way, the server 100 stops the questioning of the category in which the number of consecutive correct answers has reached a predetermined value (or has passed). As a result, the questions to be asked can be narrowed down to the questions belonging to the category in which the user's knowledge is presumed to be poor, and the time required for the user to fix the knowledge can be shortened.

FIG. 12 is a diagram showing an output example of the explanation according to the level.
The server 100 controls the content of the explanation for the problem belonging to the category according to the correct answer rate for the category registered in the control table 141.

Level 1 commentary 410 is a commentary targeting users who are presumed to have relatively large knowledge of the category. The level 1 commentary 410 is usually easy to understand (a knowledgeable user can understand it in a relatively short time). For example, the average number of characters in Level 1 commentary 410 is α.

Level 2 commentary 420 is a commentary targeting users who are presumed to have little knowledge of the category. Level 2 commentary 420 is easy to understand (including terms and explanations that are simpler than level 1). Level 2 commentary The average number of characters in 420 is β. For example, β> α. Since the level 2 commentary 420 contains simpler terms and explanations than the level 1, the number of characters tends to be larger than that of the level 1 commentary 410.

Level 3 commentary 430 is a commentary level targeting users who are presumed to have little knowledge of the category. Level 3 commentary 430 is very easy to understand (including simpler terms and explanations than level 2). The average number of characters in Level 3 Explanation 430 is γ. For example, γ> β. Since the level 3 commentary 430 contains terms and explanations that are simpler than the level 2 commentary, the number of characters tends to be larger than that of the level 2 commentary 420.

In the above example, the server 100 calculates the correct answer rate for the question for each category, and determines the level of explanation and the question rate for each category. On the other hand, as described above, the server 100 may determine the level of commentary and the question rate for each category according to the incorrect answer rate (ratio of incorrect answers) for the question and the cumulative number of incorrect answers for each category. Good.

For example, the commentary storage unit 130 stores in advance the first level information that defines the level for each range of the cumulative number of incorrect answers or the range of the percentage of incorrect answers, and the commentary output unit 160 is the first. The level of commentary may be determined based on the level information of. More specifically, in the first level information, the smaller the cumulative number of incorrect answers or the percentage of incorrect answers, the lower the level (simplified explanation), and the larger the cumulative number of incorrect answers or the percentage of incorrect answers, the higher the level. It is conceivable to set the level so that it is a level (detailed explanation).

Alternatively, the commentary storage unit 130 stores in advance the second level information that defines the level for each range of the cumulative number of incorrect answers and the range of the percentage of incorrect answers, and the commentary output unit 160 is the second. The level of commentary may be determined based on the level information of. More specifically, in the second level information, it is conceivable to determine the correspondence with the commentary level for each set of the range of the cumulative number of incorrect answers and the range of the ratio of incorrect answers. For example, in the second level information, the smaller the cumulative number of incorrect answers and the percentage of incorrect answers, the lower the level (simplified explanation), and the larger the cumulative number of incorrect answers and the percentage of incorrect answers, the higher the level (detailed). It is conceivable to set the level so that it is (explanation).

By the way, when presenting the explanation to the user, it is conceivable to present the explanation of all the problems and have them learn again for the number of questions. However, with this method, when the number of questions is large, the amount of reading is large, it is difficult to read the explanation carefully, and it may be difficult to acquire knowledge of the items (incorrect answers) to be acquired. Also, if you present a commentary after solving all the problems, you will have to remember which problem it was, and it will not be a timely learning. Furthermore, in the case of a user with little knowledge, the explanation content may not be understood as difficult and may not be able to sufficiently support the acquisition of knowledge.

Therefore, when the answer to the question is incorrect, the server 100 outputs a commentary according to the cumulative number of incorrect answers and / or the percentage of incorrect answers (or the correct answer rate) in the category associated with the question. Then, the learning by each user is smoothly performed. At this time, for example, the server 100 outputs a commentary having a larger number of characters as the cumulative number of incorrect answers and / or the ratio of incorrect answers in the category associated with the corresponding question is larger.

That is, when the cumulative number of incorrect answers and / or the percentage of incorrect answers in a certain category is low (when the correct answer rate is high), it is estimated that the server 100 has a high degree of understanding of the corresponding category of the user to be processed. Then, a simplified explanation (for example, explanation 410) is output. As a result, it is possible to shorten the time required for reading the commentary for a user who has a lot of knowledge about the corresponding category, and the learning can proceed smoothly.

Further, for example, when the cumulative number of incorrect answers and / or the ratio of incorrect answers in a certain category is high (when the correct answer rate is low), the server 100 has a low degree of understanding of the corresponding category of the user to be processed. Is estimated, and a detailed explanation (for example, explanation 420 or explanation 430) is output. As a result, even a user who has little knowledge about the corresponding category can be appropriately encouraged to acquire the knowledge.

In this way, the server 100 can output the commentary according to the answer to the question. Further, the server 100 can output a commentary that matches the degree of understanding of the user.
Further, in step S16, when the answer to the current question (question) is incorrect, the commentary output unit 160 determines the cumulative number of incorrect answers and / or the percentage of incorrect answers in the category associated with the question and the incorrect answer this time. You may output the explanation according to the number of consecutive correct answers in the category until it becomes the correct answer. Specifically, the commentary output unit 160 is based on the cumulative number of incorrect answers and / or the percentage of incorrect answers (or the correct answer rate) in the relevant category and the number of consecutive correct answers in the relevant category until the correct answer is obtained this time. , Estimate the user's understanding of the category. Then, the commentary output unit 160 outputs a commentary according to the result of the estimation.

For example, the commentary output unit 160 determines the user's comprehension level estimated by the cumulative number of incorrect answers and / or the percentage of incorrect answers (or the correct answer rate) in the relevant category, and continuously corrects the answers in the relevant category until the correct answer is obtained this time. It is conceivable to correct by the number. That is, the commentary output unit 160 estimates that the user's comprehension level is increasing when the number of consecutive correct answers is relatively large, so that the user's comprehension level is one step higher (the commentary level is one step lower). It may be corrected (so that). On the other hand, the commentary output unit 160 estimates that the user's comprehension level remains low when the number of consecutive correct answers is relatively small, so that the user's comprehension level is lowered by one step (the commentary level is raised by one step). It may be corrected (so that).

As a result, the comprehension level of each user can be estimated more appropriately, and the explanation that is more suitable for the comprehension level can be output, and the learning of each user can be further facilitated.

Here, for example, the server 100 can be applied to an educational system for establishing consciousness. That is, in order to prevent the judgment that the server 100 understands that there are many correct answers by chance, if the answer is incorrect even once, it is judged that the target category is not yet fully understood and the cumulative number of correct answers is accumulated. Clear and restart from 0. As a result, it becomes possible to steadily and efficiently provide education (or examination) that enables the user to acquire knowledge.

The information processing of the first embodiment can be realized by causing the processing unit 12 to execute the program. Further, the information processing of the second embodiment can be realized by causing the CPU 101 to execute a program. The program can be recorded on a computer-readable recording medium 113.

For example, the program can be distributed by distributing the recording medium 113 on which the program is recorded. Alternatively, the program may be stored in another computer and distributed via the network. For example, the computer may store (install) a program recorded on the recording medium 113 or a program received from another computer in a storage device such as RAM 102 or HDD 103, read the program from the storage device, and execute the program. Good.

10 Information processing device 11 Storage unit 12 Processing unit 13 Control table 20 Terminal equipment 30 Storage device 31 Question table 32 Explanation table

Claims (7)

Outputs questions associated with each of multiple categories
It is determined whether the answer input by the user to the question is correct or incorrect, and the answer is determined.
When the answer to the question is incorrect, the commentary according to the cumulative number of incorrect answers and / or the percentage of incorrect answers of the user in the category associated with the question is output.
An information processing program characterized by having a computer execute processing. When the answer to the question is correct, the computer is made to execute a process of controlling the question of the question associated with the category to the user according to the number of consecutive correct answers in the category associated with the question. The information processing program according to claim 1. The information processing according to claim 2, wherein in the control of the question questions, the computer is made to execute a process of stopping the question questions in the category when the number of consecutive correct answers exceeds a predetermined number of times. program. When the answer to the question is incorrect, the computer processes to output a commentary with a larger number of characters as the cumulative number of incorrect answers and / or the percentage of incorrect answers of the user in the category associated with the question is larger. The information processing program according to any one of claims 1 to 3, wherein the information processing program is executed. When the answer to the question is incorrect, the cumulative number of incorrect answers and / or the percentage of incorrect answers of the user in the category associated with the question and the continuous correct answer in the category until the answer is incorrect this time. The information processing program according to any one of claims 1 to 4, wherein a computer executes a process of outputting explanations according to the number. The computer
Outputs questions associated with each of multiple categories
It is determined whether the answer input by the user to the question is correct or incorrect, and the answer is determined.
When the answer to the question is incorrect, the commentary according to the cumulative number of incorrect answers and / or the percentage of incorrect answers of the user in the category associated with the question is output.
An information processing method characterized by this. A storage unit that stores the cumulative number of incorrect answers and / or the percentage of incorrect answers for questions associated with each of a plurality of categories for each category in association with the user.
When the question associated with each of the plurality of categories is output, it is determined whether the answer input by the user to the question is correct or incorrect, and the answer to the question is incorrect. , A processing unit that outputs a commentary according to the cumulative number of incorrect answers and / or the percentage of incorrect answers of the user in the category associated with the question, stored in the storage unit.
An information processing device characterized by having.

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