JP2012103564A - Learning support system, learning history tabulation method of learning support system, and computer program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a learning support system, a learning history tabulation method of the learning support system, and a computer program which are capable of providing tabulation results allowing learning outcomes to be accurately confirmed.SOLUTION: In a learning support system 1, a learner uses a learning client 3 to access a learning server 2 and receives a question and selects an answer to the question from among a plurality of options, whereby the learner learns. The learning server 2 stores a learning history including answer data to questions, the numbers of times of answering to the same question, and data of an answer acceptance time of each question. A manager uses a management client 4 to access the learning server 2. The learning server 2 determines whether each learner has properly answered or not on the basis of the stored learning history of the learner and tabulates learning histories, exclusive of learning histories of learners whose answering is determined to be not proper.

Description

  The present invention relates to a learning support system for supporting learner learning, a learning history totaling method for totaling learning histories using the learning support system, and a computer for causing a computer to total learning histories in the learning support system. Regarding the program.

  In recent years, e-learning systems, which are learning support systems using devices such as computers, PDAs, and portable telephones, have become widespread. In an e-learning system used in a company or an organization such as a school, learning histories are aggregated in order to confirm learning results such as progress, proficiency, and understanding of learning in the entire organization. In order to confirm the learning results of individual learners, the total of learning histories is used.

  Patent Document 1 discloses a test result analyzing apparatus that analyzes test results when a plurality of students perform a test including a plurality of problems. In such a test result analyzer, the correct answer rate of each question is calculated for each student group having the same total score, and the relationship between the total score and the correct answer rate is obtained. In addition, this test result analyzing apparatus evaluates each student's ability from the relationship between the obtained total score and the correct answer rate.

International Publication No. 2003/049063 Pamphlet

  By the way, in such a learning support system, the learner randomly selects an answer option, or confirms the correct answer by referring to documents such as textbooks and reference books. May be done. However, in the test result analysis apparatus described in Patent Document 1, if there is a person who has made such an inappropriate answer among the learners, an incorrect answer result was included. Since learning history is totaled, the learning result cannot be confirmed accurately.

  The present invention has been made in view of such circumstances, and a main object thereof is to provide a learning support system, a learning history counting method for the learning support system, and a computer program that can solve the above-described problems. .

  In order to solve the above-described problem, a learning support system according to one aspect of the present invention includes a display unit that displays a problem used for learning, and an input that receives an answer to the problem displayed on the display unit from a learner. And a learning client that includes a first communication unit that transmits answer data indicating an input answer, and problem data indicating a problem is transmitted to the learning client, and the answer data transmitted from the learning client A learning server that includes a second communication unit that receives the learning data, a learning history storage unit that stores a learning history for each learner based on the answer data received by the second communication unit, and Based on the stored learning history, the determination unit determines whether or not the answer has been properly made by the learner, and the learning history stored in the learning history storage unit, the determination By excluding an answer by the step it is determined to not properly made the data, comprising a collecting unit that aggregates the learning history, and an output unit for outputting the counting result by the tallying unit.

  In this aspect, the determination means is configured to determine for each learner whether or not the answer has been properly made by the learner, and the counting means stores the learning history stored in the learning history storage unit. Therefore, the learning history may be totaled by excluding the learning history related to the learner determined that the answer is not properly made by the determination means.

  Further, in the above aspect, the learning history storage unit is configured to store the learning history including learning time data related to a learner's learning time, and the determination unit performs learning based on the learning time. It may be configured to determine whether or not the answer has been properly made by the person.

  In the above aspect, the determination unit obtains a learning time from when a question is displayed until an answer is input based on the learning time data, and based on the learning time, the answer is appropriately determined by the learner. It may be configured to determine whether or not it has been made.

  Further, in the above aspect, the learning server includes a teaching material storage unit that stores question data and option data indicating a plurality of options including correct answers corresponding to the question data. The learning client is configured to transmit the problem data and the option data stored in the learning material storage unit to the learning client, and the learning client transmits the problem data transmitted from the learning server by the first communication unit. When the display unit displays the problem indicated by the problem data received by the first communication unit and receives an option display instruction from the learner by the input unit, the first data is displayed. A plurality of options indicated by the option data received by one communication unit is displayed, and one of the plurality of options from the learner is displayed by the input unit. When the selection is accepted, the second communication unit is configured to transmit answer data indicating the selected option, and the determination unit is configured to select the plurality of options based on learning time data. The answering time from when the message is displayed until the selection of one of the options is accepted is acquired as the learning time, and based on the answering time, it is determined whether or not the answer has been properly made by the learner May be.

  Further, in the above aspect, the determination unit acquires, as the learning time, a question time from when a problem is displayed until an option display instruction is received based on the learning time data, and learning based on the question time. It may be configured to determine whether or not the answer has been properly made by the person.

  Further, in the above aspect, when the same learner answers a plurality of questions based on the learning time data, the determination unit acquires and acquires the total learning time required to answer each question. The learner may be configured to determine whether or not the answer has been properly made based on the total learning time.

  Further, in the above aspect, the learning history storage unit is configured to store the learning history including the number of times of learning related to the same problem, and the determination unit answers the learner based on the number of times of learning. It may be configured to determine whether or not has been appropriately performed.

  Further, in the above aspect, the determination unit acquires a correct answer rate for each learner based on the learning history stored in the learning history storage unit, and the learner determines the correct answer rate based on the acquired correct answer rate. You may be comprised so that it may be determined whether the answer was made | formed appropriately.

  Further, in the above aspect, the learning history storage unit stores a learning history when the same learner has made a plurality of answers for a group of problems including the same problem, and the determination unit includes: In addition, each of the correct answer rates of the different answers for the question group is obtained, and the answer is appropriately made by the learner depending on whether the correct answer rate in the later answer exceeds the correct answer rate in the previous answer. It may be configured to determine whether or not.

  In the above aspect, the learning server includes a learning material storage unit that stores problem data and option data indicating a plurality of options corresponding to the problem data, and the second communication unit causes the learning client to store the learning data. On the other hand, the problem data and option data stored in the learning material storage unit are configured to be transmitted, and the learning client transmits the problem data and option data transmitted from the learning server by the first communication unit. The display unit displays the problem indicated by the problem data received by the first communication unit and a plurality of options indicated by the option data, and the input unit displays a plurality of options from the learner. The second communication unit is configured to transmit answer data indicating the selected option when one selection is received. And the learning history storage unit stores a learning history including each answer data when the same learner answers the same question a plurality of times, and the determination means is based on the learning history. The same learner determines whether the same answer is the same for the same question at different times, and if the same answer is the same for the same question, It may be configured to determine that an answer has been made.

  Further, in the above aspect, the learning server includes a teaching material storage unit that stores problem data and option data indicating a plurality of options including a specific incorrect answer corresponding to the problem data, and the second communication unit The problem data and the option data stored in the teaching material storage unit are transmitted to the learning client, and the learning client is transmitted from the learning server by the first communication unit. Problem data and option data received, and the display unit displays the problem indicated by the problem data received by the first communication unit and a plurality of options indicated by the option data, and from the learner by the input unit. When one selection among the plurality of options is accepted, the second communication unit transmits answer data indicating the selected option And the learning history storage unit is configured to store the learning history including answer data transmitted by the learning client, and the determination unit includes the identification in the learning history. In the case where answer data indicating a wrong answer option is included, the learner may determine that an inappropriate answer has been made.

  Further, the learning history counting method of the learning support system according to one aspect of the present invention displays a problem used for learning, receives an answer to the displayed problem from a learner, and receives answer data indicating the input answer. A learning history totaling method of a learning support system comprising: a learning client that transmits; and a problem server that transmits a problem data indicating a problem to the learning client and that receives answer data transmitted from the learning client. A step of storing a learning history for each learner based on the answer data received by the learning server; a step of determining whether or not the answer has been properly made by the learner based on the stored learning history; The step of counting the learning history by excluding data determined that the answer is not properly made from the stored learning history , And a step of outputting the counting result.

  Further, the computer program according to one aspect of the present invention displays a problem used for learning, receives an answer to the displayed problem from a learner, and transmits answer data indicating the input answer; Transmitting problem data indicating a problem to the learning client, and causing a computer including a storage unit to totalize a learning history of a learning support system including a learning server that receives answer data transmitted from the learning client A computer program comprising: storing a learning history for each learner in the storage unit based on the answer data received by the learning server; and a learner based on the learning history stored in the storage unit Determining whether or not the answer has been made properly, and the learning history stored in the storage unit , By excluding the answer it is determined to not properly made the data, the steps of aggregating the learning history is executed and outputting count results, to the computer.

  According to the learning support system, the learning history counting method of the learning support system, and the computer program according to the present invention, even when there is a person who has made an inappropriate answer to the question presented among the learners, It is possible to provide an aggregate result that can accurately confirm the learning result.

The schematic diagram which shows the whole structure of the learning assistance system which concerns on embodiment. The block diagram which shows the structure of the learning server with which the learning assistance system which concerns on embodiment is provided. The schematic diagram which shows the structure of a teaching material database. The schematic diagram which shows the structure of a learning history information database. The block diagram which shows the structure of the learning client with which the learning assistance system which concerns on embodiment is provided. The block diagram which shows the structure of the management client with which the learning assistance system which concerns on embodiment is provided. The flowchart which shows the procedure of the process of a learning server when a learning assistance system operate | moves. The flowchart which shows the procedure of the learning assistance process by the learning server which concerns on embodiment. The figure which shows an example of a teaching material designation | designated screen. The figure which shows an example of the screen where the question sentence was displayed. The figure which shows an example of the screen on which the choice was displayed. The figure which shows an example of an answer screen. The flowchart which shows the procedure of the learning log | history totaling process by the learning server which concerns on embodiment (the first half). The flowchart (second half) which shows the procedure of the learning log | history totaling process by the learning server which concerns on embodiment. The figure which shows an example of a totaling method setting screen. The flowchart which shows the procedure of a 1st thinning process. The flowchart which shows the procedure of a 2nd thinning process. The flowchart which shows the procedure of a 3rd thinning process. The flowchart which shows the procedure of a 4th thinning process. The flowchart which shows the procedure of a 5th thinning process. The flowchart which shows the procedure of a 6th thinning process. The flowchart which shows the procedure of a 7th thinning process. The figure which shows an example of a count result screen. The figure which shows an example of a total result screen when the setting value of the thinning method is changed from the total result screen shown in FIG. The figure which shows the example by which the histogram which shows the distribution of the learner who made the wrong answer by the question 2 from the state shown in FIG. 23 was displayed. The figure which shows the example in which the said detailed information was displayed from the state shown in FIG. The figure which shows an example when one line of a list | wrist is selected from the state shown in FIG. The figure which shows an example when the learning history is recounted from the state shown in FIG.

  Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings.

[Configuration of learning support system]
FIG. 1 is a schematic diagram showing the overall configuration of the learning support system according to the present embodiment. This learning support system 1 is used for employee education in a company. The learning support system 1 is a client server system using an information network such as the Internet or an intranet, and includes a learning server 2, a learning client 3 used by a learner, and a management client 4 used by an administrator (education staff). And. The learning server 2 is connected to the learning client 3 and the management client 4 through an information network 5 so that data communication is possible.

<Configuration of learning server 2>
FIG. 2 is a block diagram showing the configuration of the learning server 2. The learning server 2 is realized by a computer 2a. As shown in FIG. 2, the computer 2 a includes a main body 21, an image display unit 22, and an input unit 23. The main body 21 includes a CPU 21a, ROM 21b, RAM 21c, hard disk 21d, reading device 21e, input / output interface 21f, communication interface 21g (second communication unit), and image output interface 21h. CPU 21a, ROM 21b, RAM 21c, hard disk 21d The reading device 21e, the input / output interface 21f, the communication interface 21g, and the image output interface 21h are connected by a bus 21j.

  The CPU 21a can execute a computer program loaded in the RAM 21c. Then, the computer 21 a functions as the learning server 2 when the CPU 21 a executes the server computer program 24 a of the learning support system 1.

  The ROM 21b is configured by a mask ROM, PROM, EPROM, EEPROM, or the like, and stores a computer program executed by the CPU 21a, data used for the same, and the like.

  The RAM 21c is configured by SRAM, DRAM, or the like. The RAM 21c is used for reading the computer program 24a recorded on the hard disk 21d. Further, when the CPU 21a executes a computer program, it is used as a work area for the CPU 21a.

  The hard disk 21d is installed with various computer programs to be executed by the CPU 21a, such as an operating system and application programs, and data used for executing the computer programs. A server computer program 24a is also installed in the hard disk 21d.

  The reading device 21e is configured by a flexible disk drive, a CD-ROM drive, a DVD-ROM drive, or the like, and can read a computer program or data recorded on the portable recording medium 24. The portable recording medium 24 stores a computer program 24a for causing the computer to function as the learning server 2. The computer 2a reads the computer program 24a from the portable recording medium 24, and stores the computer program 24a. It can be installed on the hard disk 21d.

  The computer program 24a is not only provided by the portable recording medium 24, but also from an external device that is communicably connected to the computer 2a via an electric communication line (whether wired or wireless). It is also possible to provide through. For example, the computer program 24a is stored in the hard disk of a server computer on the Internet. The computer 2a can access the server computer, download the computer program, and install it on the hard disk 21d. is there.

  For example, a multitask operating system such as Windows (registered trademark) manufactured and sold by US Microsoft Corporation is installed in the hard disk 21d. In the following description, it is assumed that the computer program 24a according to the present embodiment operates on the operating system.

  A teaching material database 200 is provided on the hard disk 21d. FIG. 3 is a schematic diagram showing the configuration of the teaching material database 200. One teaching material includes one or a plurality of questions and answers to each question. Each question is an option question, and a plurality of options are provided for each question as an answer. The learning material database 200 stores a field F201 for storing a content ID assigned to each learning material, a field F202 for storing a question number of each question included in the learning material, and question data indicating the question. Field F203, field F204 for storing the number of options for each question, and fields F205 to F209 for storing option data indicating options. Of the fields F205 to F209, F205 stores correct answer data indicating a correct answer. That is, erroneous answer data is stored in the fields F206 to F209. Further, the field F209 stores erroneous answer data (hereinafter, referred to as “specific incorrect answer data”) that can be determined as a clearly inappropriate option by a normal learner.

  The hard disk 21d is provided with a user information database 210. In the user information database 201, a user ID assigned to each user and attribute information indicating whether the user is a learner or an administrator are registered for each user.

  Further, a learning history information database 220 is provided in the hard disk 21d. FIG. 4 is a schematic diagram showing the configuration of the learning history information database 220. The learning history information database 220 stores learning history information related to the learning history for each learner. The learning history information database 220 includes a field F221 for storing a user ID, a field F222 for storing a content ID of a learned teaching material, a field F223 for storing the number of learnings, and one learning. A field F224 for storing the number of questions to be asked in the field, a field F225 for storing the question number, a field F226 for storing the correct answer data of the question, and data of the answer selected by the learner (hereinafter referred to as the following) , “Selection information”), a field F227 for storing the time when the problem was displayed (hereinafter referred to as “first time”), and an instruction to display an option from the learner. A field F229 for storing the received time (hereinafter referred to as "second time"); Time of accepting the answer from the learner (hereinafter, referred to as. "Third time") and field F230 for storing is provided. The learning history information database 220 stores learning history information for each question as one record. That is, when a learner answers one question, the user ID of the learner, the content ID of the learning material to which the question belongs, the number of times the question has been learned, the number of questions to be asked in the question, The question number of the question, the correct answer data of the question, the selection information in the question, the first time when the question text of the question is displayed, the second time when the instruction option display instruction is accepted, and the answer of the question is accepted Learning history information including each data at the third time is stored in the learning history information database 220 as one record. In addition, as will be described in detail later, in the learning support system, the learner answers each question included in one teaching material once in one learning, and repeatedly until all questions are correctly answered. Repeat learning. Also, questions that are answered correctly in one study are omitted in the next study. That is, only the problem that is wrong in one learning is presented in the next learning. For example, when a learner learns about a teaching material including three questions of question numbers 1 to 3, all the questions of question numbers 1 to 3 are given in the first learning, and the first learning is performed in the second learning. In the third learning, only the wrong problem is given in the second learning.

  The hard disk 21d is provided with a totaling method setting information database 240. The aggregation method setting information database 240 stores the setting value of the aggregation method designated by the administrator when the administrator performs the aggregation of the learning history.

  The input / output interface 21f is, for example, a serial interface such as USB, IEEE1394, or RS-232C, a parallel interface such as SCSI, IDE, or IEEE1284, and an analog interface including a D / A converter, an A / D converter, and the like. It is configured. An input unit 23 composed of a keyboard and a mouse is connected to the input / output interface 21f, and the user can input data to the computer 2a by using the input unit 23.

  The communication interface 21g is an Ethernet (registered trademark) interface. The communication interface 21g is connected to the learning client 3 and the management client 4 via a LAN. The computer 2a can transmit and receive data between the learning client 3 and the management client 4 connected to the LAN using a predetermined communication protocol through the communication interface 21g.

  The image output interface 21h is connected to an image display unit 22 composed of an LCD, a CRT or the like, and outputs a video signal corresponding to the image data given from the CPU 21a to the image display unit 22. The image display unit 22 displays an image (screen) according to the input video signal.

<Configuration of learning client 3>
FIG. 5 is a block diagram showing a configuration of the learning client 3 according to the present embodiment. The learning client 3 is realized by the computer 3a. As shown in FIG. 5, the computer 3 a includes a main body 31, an image display unit 32, and an input unit 33. The main body 31 includes a CPU 31a, ROM 31b, RAM 31c, hard disk 31d, reading device 31e, input / output interface 31f, communication interface 31g (first communication unit), and image output interface 31h. The CPU 31a, ROM 31b, RAM 31c, and hard disk 31d. The reading device 31e, the input / output interface 31f, the communication interface 31g, and the image output interface 31h are connected by a bus 31j.

  The hard disk 31d is installed with various computer programs to be executed by the CPU 31a, such as an operating system and application programs, and data used for executing the computer programs. A learning client computer program 34a is also installed in the hard disk 31d.

  The reading device 31e is configured by a flexible disk drive, a CD-ROM drive, a DVD-ROM drive, or the like, and can read a computer program or data recorded on the portable recording medium 34. The portable recording medium 34 stores a computer program 34a for causing the computer to function as the learning client 3. The computer 3a reads the computer program 34a from the portable recording medium 34, and stores the computer program 34a. It can be installed on the hard disk 31d.

  The computer program 34a is not only provided by the portable recording medium 34, but also from an external device that is communicably connected to the computer 3a by an electric communication line (whether wired or wireless). It is also possible to provide through. For example, the computer program 34a is stored in the hard disk of a server computer on the Internet. The computer 3a can access the server computer, download the computer program, and install it on the hard disk 31d. is there.

  The hard disk 31d is installed with a multitask operating system such as Windows (registered trademark) manufactured and sold by Microsoft Corporation. In the following description, it is assumed that the computer program 34a according to the present embodiment operates on the operating system.

  Moreover, since the other structure of the learning client 3 is the same as that of the learning server 2 mentioned above, the description is abbreviate | omitted.

<Configuration of management client 4>
FIG. 6 is a block diagram showing a configuration of the management client 4 according to the present embodiment. The management client 4 is realized by a computer 4a. As shown in FIG. 6, the computer 4 a includes a main body 41, an image display unit 42, and an input unit 43. The main body 41 includes a CPU 41a, ROM 41b, RAM 41c, hard disk 41d, reading device 41e, input / output interface 41f, communication interface 41g, and image output interface 41h. The CPU 41a, ROM 41b, RAM 41c, hard disk 41d, reading device 41e, input device 41e The output interface 41f, the communication interface 41g, and the image output interface 41h are connected by a bus 41j.

  The hard disk 41d is installed with various computer programs to be executed by the CPU 41a, such as an operating system and application programs, and data used for executing the computer programs. A computer program 44a for the management client is also installed in the hard disk 41d.

  The reading device 41 e is configured by a flexible disk drive, a CD-ROM drive, a DVD-ROM drive, or the like, and can read a computer program or data recorded on the portable recording medium 44. The portable recording medium 44 stores a computer program 44a for causing the computer to function as the management client 4. The computer 4a reads the computer program 44a from the portable recording medium 44, and stores the computer program 44a. It can be installed on the hard disk 41d.

  The computer program 44a is not only provided by the portable recording medium 44, but also from an external device that is communicably connected to the computer 4a by an electric communication line (whether wired or wireless). It is also possible to provide through. For example, the computer program 44a is stored in the hard disk of a server computer on the Internet. The computer 4a can access the server computer, download the computer program, and install it on the hard disk 41d. is there.

  The hard disk 41d is installed with a multitask operating system such as Windows (registered trademark) manufactured and sold by Microsoft Corporation. In the following description, it is assumed that the computer program 44a according to the present embodiment operates on the operating system.

  In addition, since the other structure of the management client 4 is the same as that of the structure of the learning server 2 mentioned above, the description is abbreviate | omitted.

[Operation of the learning support system]
Hereinafter, the operation of the learning support system 1 according to the present embodiment will be described.

  Before operating the learning support system 1, the administrator needs to save the teaching material data in the teaching material database 200. At this time, the administrator accesses the learning server 2 using the management client 4 or directly operates the learning server 2 to store the content ID, question number, question data, number of options, Register option data.

  Further, as preparation before operating the learning support system 1, the administrator needs to register user information. At this time, the administrator accesses the learning server 2 using the management client 4 or directly operates the learning server 2 to register the user ID and attribute information of each user in the user information database 210. There are two types of attribute information: information indicating learners and information indicating managers. The administrator registers appropriate attribute information in the user information database 210 in accordance with the user attribute to be registered (learner or administrator).

  The operation of the entire learning support system 1 when the learner or administrator uses the learning support system will be described. FIG. 7 is a flowchart showing a processing procedure of the learning server 2 when the learning support system 1 operates. The user (learner or manager) starts the computer program 34 a of the learning client 3 or the computer program 44 a of the management client 4. The learning client 3 or the management client 4 displays a login screen (not shown), and the user inputs his / her user ID in the user ID input field of this login screen and requests login to the learning support system 1. The learning client 3 or the management client 4 transmits the input user ID to the learning server 2. When receiving the user ID, the CPU 21a of the learning server 2 collates the received user ID with the user ID registered in the user information database 210, and executes login processing (step S101). When the login process is completed, the CPU 21a reads the attribute information of the user registered in the user information database 210, and determines the attribute of the user based on the attribute information, that is, whether the user is a learner or an administrator ( Step S102).

  In step S102, when the user is a learner (“learner” in step S102), the CPU 21a executes a learning support process (step S103). On the other hand, when the user is an administrator in Step S102 ("Administrator" in Step S102), the CPU 21a executes a learning history totaling process (Step S104). Details of the learning support process and the learning history tabulation process will be described later. When the learning support process or the learning history totaling process ends, the CPU 21a executes a logout process (step S105), and the logged-in user logs out from the learning support system 1. Thereby, the process of the learning server 2 is complete | finished.

<Learning support processing>
Next, the learning support process will be described. FIG. 8 is a flowchart showing a procedure of learning support processing by the learning server 2 according to the present embodiment. First, the CPU 21a of the learning server 2 transmits data (content ID) necessary for causing the learning client 3 to display a learning material designation screen for designating learning materials. In the learning client 3 that has received this content ID, a teaching material designation screen is displayed. FIG. 9 is a diagram illustrating an example of the teaching material designation screen. As shown in FIG. 9, on the learning material designation screen D1, the content IDs of the learning materials registered in the learning material database 200 are displayed in a list format. A radio button C101 for selecting a learning material is provided next to each content ID. The learner can select one of the radio buttons 101 by operating the input unit 33 and specify one content ID. The teaching material designation screen D1 is provided with a button C102 for instructing the start of learning. This button C102 is a selectable control object, and can be selected by the learner operating the input unit 33. When the learner selects the button C102, the CPU 31a of the learning client 3 transmits the content ID designated by the learner to the learning server 2.

  The learning server 2 receives the content ID transmitted from the learning client 3 (step S201). Next, CPU21a acquires the learning frequency in the said teaching material of the said user (step S202). In this process, the CPU 21a searches the learning history information 220 for learning history information using the user ID of the logged-in user and the received content ID as keys. The learning history information includes data on the number of learning times. Among the learning counts included in the searched learning history information, the maximum learning count is the learning count of the user. For example, in the case of a user who has learned twice about the same learning material, learning history information whose learning count is “1” and learning history information whose learning count is “2” are stored in the learning history information database 220. Accordingly, among the learning history information stored in the learning history information database 220, the learning history information whose learning frequency is “2” is the learning history information related to the last learning of the teaching material. Therefore, the learning count in this case is “2”. If there is no corresponding record in the learning history information database 220, the learning count is “0”, that is, this time is the first learning.

  Next, the CPU 21a determines whether or not the current learning is the first time based on the acquired number of learning (step S203). When the current learning is not the first time (NO in step S203), the CPU 21a acquires the question number of the problem that was incorrect in the previous learning based on the learning history stored in the learning history information database 220. (Step S204). In this process, the CPU 21a specifies learning history information in which the correct answer data and the selection information do not match among the learning history information having the maximum number of learning times, and acquires data of the question number included in the specified learning history information. To do. When the process of step S204 is completed, the CPU 21a advances the process to step S205. On the other hand, if the current learning is the first time in step S203 (YES in step S203), the CPU 21a advances the process to step S205 as it is.

  In step S205, the CPU 21a acquires from the teaching material database 200 the question number, question data, and option data of the question to be asked from the teaching material in the current learning (step S205). In this learning support system 1, questions that have been correctly answered in the past are not given again, and only questions that have been incorrect in the past are given. That is, in the process of step S205, when the current learning is not the first time, only data related to the question with the question number obtained in step S204 is obtained. More specifically, the teaching material data having the content ID accepted in step S201 and the question number acquired in step S204 is retrieved from the teaching material data (record) for each question registered in the teaching material database 200. On the other hand, when the current learning is the first time, all the teaching material data including the content ID is acquired from the teaching material database 200. In addition, the option data included in the teaching material data acquired in this way includes correct answer data indicating a correct answer.

  Next, the CPU 21a counts the number of questions in the current learning (step S206). In this process, the total number of questions of the teaching material data acquired in the process of step S205 is counted.

  Further, the CPU 21a randomly determines the arrangement order of the options of the option data included in the teaching material data of the question having the smallest question number among the teaching material data acquired in step S205 (step S207). In the learning support system 1 according to the present embodiment, the first choice data among the five choice data of each question stored in the teaching material database 220 is the correct answer data. Since the order of options is determined randomly, the first option is always prevented from being the correct answer. Further, when the same learning material is learned a plurality of times, it is possible to prevent the choices from being given in the same order.

  CPU21a transmits the problem data which concerns on the question with the smallest question number among learning material data acquired in step S205 to the learning client 3 (step S208). This question data includes question data, option data, and data indicating the arrangement order of options included in the teaching material data. The CPU 31a of the learning client 3 receives the question data and causes the image display unit 32 to display a question (question sentence) and options corresponding to the question.

  The process of step S208 will be specifically described. First, the CPU 21 a transmits the question data of the question to be asked to the learning client 3. The CPU 31a of the learning client 3 that has received the question data causes the image display unit 32 to display a screen including the question sentence based on the question data. FIG. 10 is a diagram illustrating an example of a screen on which a question sentence is displayed. As shown in the figure, the screen D2 is provided with an area P21 for displaying a question number and an area P22 for displaying a question sentence. The question number is displayed in the area P22, and the area P22 is displayed in the area P22. Displays each question sentence. Further, the CPU 21a stores the time when the question data is transmitted as the first time in the RAM 21c.

  In the screen D2, a selectable button B21 for instructing display of options is further provided. When the learner reads the question sentence and is ready to answer it, he / she operates the input unit 33 to select the button B21. When receiving the selection of the button B21, the CPU 31a transmits request data for requesting option data to the learning server 2. When the learning server 2 receives the request data, the CPU 21a stores the reception time as the second time in the RAM 21c and transmits the option data to the learning client 3.

  When the learning client 3 receives the option data, the CPU 31a causes the image display unit 33 to display a screen including the option. FIG. 11 is a diagram illustrating an example of a screen on which options are displayed. As shown in the figure, the screen D3 is provided with the same areas P21 and P22 as the screen D2. On the screen D3, options P31 to P35 are displayed below the area P22 instead of the button B21. These options are arranged in the random arrangement order determined in step S207. Each of the options P31 to P35 is a selectable control object. Therefore, the learner can operate the input unit 33 and select any one of the options P31 to P35.

  When the learner selects the options P31 to P35, selection information (answer data) corresponding to the selected option is transmitted from the learning client 3. The transmitted selection information is received by the learning server 2, whereby the CPU 21a acquires the selection information (step S209). Further, the CPU 21a stores the time when the selection information is received in the RAM 21c as the third time.

  When the process of step S209 is completed, the CPU 21a determines whether all the questions in the current learning are completed (step S210). That is, it is determined whether or not the number of repetitions of the processes in steps S207 to S210 has reached the number of questions obtained in step S206. If there is an unquestioned question in step S210 (NO in step S210), the CPU 21a returns the process to step S207, and the teaching material of the next question number in the teaching material data acquired in step S205. Steps S207 to S209 are performed on the data. On the other hand, when all the questions are completed in step S210 (YES in step S210), the CPU 21a advances the process to step S211.

  In step S211, the CPU 21a compares the selection information acquired in step S209 with the correct answer data acquired in step S205, and executes correctness determination processing for determining whether or not the learner's answer is correct. (Step S211). Next, the CPU 21a generates correct / incorrect determination result data indicating the correct / incorrect determination result, and transmits the correct / incorrect determination result data (step S212). The correct / incorrect determination result data is data for displaying an answer screen described below, and the answer screen is displayed on the learning client 3 by transmitting the correct / incorrect determination result data.

  The CPU 31 a of the learning client 3 that has received the correctness determination result data causes the image display unit 32 to display an answer screen. FIG. 12 is a diagram illustrating an example of an answer screen. In the answer screen D4, the question sentences and options of each question presented in the current learning are displayed. On the answer screen D4, the option selected by the learner is displayed in a color (indicated by hatching in the figure) different from the other options. Further, when the learner's answer is a correct answer, a mark P41 indicating that the answer is correct is displayed on the right side of the option selected by the learner. On the other hand, when the learner's answer is incorrect, a mark P42 indicating that the answer is incorrect is displayed on the right side of the option selected by the learner. Thereby, the learner can confirm whether his answer was correct but incorrect.

  In the answer screen D4, a message P43 indicating that the option is a correct answer is displayed on the right side of the correct answer option in a question in which the learner's answer is incorrect. By displaying this message P43, the learner can confirm which option is correct.

  In the answer screen D4, when the learner's answer is incorrect for any question, a selectable button B41 for resuming learning is displayed. On the answer screen D4, if the learner's answer is correct for all questions, a selectable button (not shown) for instructing the end of learning is provided instead of the button B41. Is displayed.

  As described above, after transmitting the correct / incorrect determination result data, the CPU 21a registers the learning history information of the current learning in the learning history information database 220 (step S213).

  If the learner's answer contains an incorrect answer, the learner checks the answer screen D4 and, when ready to learn again, selects the button B41 by operating the input unit 33. When accepting the selection of the button B41, the CPU 31a transmits learning restart instruction data for instructing learning restart to the learning server 2. When the learning server 2 receives the learning restart instruction data (“learning restart instruction” in step S214), the CPU 21a returns the process to step S202, increments the learning count, and acquires a new learning count (step S202). ), And the subsequent processing is executed again.

  On the other hand, when the learner's answers are all correct, the learner confirms the answer screen D4 and operates the input unit 33 to select a button for instructing the end of learning. When the selection of this button is accepted, the CPU 31a transmits learning end instruction data for instructing the end of learning to the learning server 2. When the learning server 2 receives this learning end instruction data (“learning end instruction” in step S214), the CPU 21a ends the learning support process and returns the process to the call address of the learning support process in the main routine.

<Learning history aggregation processing>
Next, the learning history totaling process will be described. FIG. 13A and FIG. 13B are flowcharts showing a procedure of learning history tabulation processing by the learning server 2 according to the present embodiment. First, the CPU 21a of the learning server 2 transmits data necessary for causing the management client 4 to display a counting method setting screen for setting a learning history counting method (step S301). This data includes a content ID and the like. In the management client 4 that has received such data, a tabulation method setting screen is displayed.

  FIG. 14 is a diagram illustrating an example of a tabulation method setting screen. As shown in FIG. 14, in the totaling method setting screen D5, a teaching material specifying area P51 for specifying teaching materials, a graph pattern specifying area P52 for specifying graph patterns, and a learning history thinning method are specified. A thinning method designating area P53 for thinning out and a thinning setting value designating area P54 for designating detailed setting values of the thinning method are provided.

  The teaching material designation area P51 is arranged in the upper left part of the counting method setting screen D5. In the teaching material specification area P51, a content ID selection unit B511, which is a pull-down menu type control object, is provided, and is provided at the right end of the content ID selection unit B511 when the administrator operates the input unit 43. When the button is selected, a pull-down menu is displayed. In this pull-down menu, content IDs transmitted from the learning server 2 are arranged in a list as menu items. Each content ID can be selected, and when the administrator selects any one content ID by operating the input unit 43, the pull-down menu is hidden and the selected content ID is displayed on the content ID selection unit B511. Is done. In this way, one content ID can be specified. In the example shown in FIG. 14, the content ID “001” is designated.

  The graph pattern designation area P52 is arranged on the upper right portion of the tabulation method setting screen D5, that is, on the right side of the teaching material designation area P51. In the graph pattern designation area P52, names of a plurality of types of graph patterns that can be designated are displayed side by side. Selectable radio buttons B521, 522, and 523 are arranged on the left side of the names of the respective graph patterns. Yes. In the example shown in FIG. 14, “correct answer rate ranking (first time)”, “wrong answer ranking (first time)”, and the like are displayed as graph patterns. When the correct answer rate ranking (first time) is designated, it is a graph showing the result of totaling the learning histories of the first learning of all learners in the teaching material with the content ID “001”, showing the correct answer rate for each question A graph is created. When the wrong answer ranking (first time) is specified, this is a graph showing the result of totaling the learning histories of the first learning of all learners in the learning material with the content ID “001”, and the wrong answer was given for each question. A graph showing the number of learners is created. The administrator can select one graph pattern by operating the input unit 43 and selecting one of the radio buttons B521 to B523. In the example shown in FIG. 14, “wrong answer ranking (first time)” is designated as the graph pattern.

  The thinning method designation area P53 is arranged below the teaching material designation area P51. In this thinning method designation area P53, a plurality of check boxes B531, B532, B533, and B534 are provided, and by selecting one or more of these check boxes B531, B532, B533, and B534, A thinning method can be specified. In the present embodiment, “learning time”, “learning frequency”, “convergence information”, and “selection information” can be designated as the thinning-out method. When the check box B531 is selected, the thinning method “learning time” is designated. When the check box B532 is selected, the thinning method “learning count” is designated, and when the check box B533 is selected, When the thinning method “convergence information” is designated and the check box B534 is selected, the thinning method “selection information” is designated. In the example shown in FIG. 14, “learning time” and “learning frequency” are designated as the thinning-out method.

  The thinning set value designation area P54 is arranged on the right side of the thinning method designation area P53. In this thinning setting value designation area P54, it is possible to set a setting value used for determination of thinning of the learning history. A plurality of radio buttons B541, B542, and B543 are provided in the thinning setting value designation region P54 for designating the type of learning time used for thinning when “learning time” is designated as the thinning method. It has been.

  The radio button B541 is provided for designating as a learning time using a time from when a question is displayed until an answer is input (hereinafter referred to as “standard learning time”). When the administrator selects the radio button B541 by operating the input unit 43, the learning time used for thinning is set to the standard learning time.

  A radio button B542 displays a time from when a question is displayed until an option display instruction is accepted (hereinafter referred to as “question time”) and a time from when the option is displayed until an answer is input (hereinafter referred to as “answer”). "Time") is designated as a learning time used for thinning (hereinafter, a combination of the question time and the answer time is called "detailed learning time"). When the administrator selects the radio button B542 by operating the input unit 43, the learning time used for thinning is set to the detailed learning time.

  The radio button B543 is provided to designate the learning time to use the total of the standard learning time in one learning (hereinafter referred to as “total learning time”). When the administrator selects the radio button B543 by operating the input unit 43, the learning time used for thinning is set to the total learning time.

  Further, the name of each learning time is displayed on the right side of each radio button B541 to B543, and further on the right side is a parameter setting unit for setting the maximum value and the minimum value that define the allowable range of the learning time. P541, P542, P543, and P544 are provided. The parameter setting unit P541 is provided for setting the maximum value and the minimum value of the standard learning time, and the administrator can input the maximum value and the minimum value to the parameter setting unit P541. Similarly, the parameter setting unit P542 is provided for setting the maximum value and the minimum value of the question time, and the parameter setting unit P543 is provided for setting the maximum value and the minimum value of the answer time. The parameter setting unit P544 is provided for setting the maximum value and the minimum value of the total learning time.

  On the right side of the parameter setting unit P541, a determination value setting unit H541 for setting a determination value for determining whether or not the learning history is to be thinned out for each learner is provided. The determination value setting unit H541 is used to set the determination value when the standard learning time is set as the learning time used for thinning. The administrator can designate one of the fixed value and the average value as the determination value by operating the determination value setting unit H541. When a fixed value is specified, the administrator can also specify a numerical value for the determination value. On the other hand, when the average value is designated, it is not necessary for the administrator to designate the numerical value of the judgment value. In this case, the average value of all learners for the number of answers determined to be inappropriate is adopted as this determination value. Similarly, on the right side of the parameter setting unit P542, a determination value setting unit H542 used for setting a determination value corresponding to the question time is set. On the right side of the parameter setting unit P543, a determination value corresponding to the answer time is set. A determination value setting unit H543 to be used is provided. In the example shown in FIG. 14, the standard learning time is set as the learning time used for thinning, the minimum value of the allowable range is set to “1”, the maximum value is set to “3”, and the determination value is “3”. It is set to a fixed value of “”.

  In addition, the thinning set value designation area P54 is provided with a radio button B545 for designating that the learning number is used for thinning when “learning number” is designated as the thinning method. The name of the number of learnings is displayed on the right side of the radio button B545, and further on the right side, a parameter setting unit P545 for setting a maximum value and a minimum value that define an allowable range of the number of learnings is provided. Yes. In the example shown in FIG. 14, the use of the number of learning is set, and the minimum value of the allowable range is set to “1” and the maximum value is set to “3”.

  The thinning set value designation area P54 is provided with a radio button B546 for designating that the convergence information is used for thinning when “convergence information” is designated as the thinning method. Further, the name of the convergence information is displayed on the right side of the radio button B546, and further, on the right side, a determination value setting unit H546 used for setting a determination value corresponding to the convergence information is provided.

  Further, in the thinning setting value designation area P54, when “selection information” is designated as the thinning method, the thinning setting value designation area P54 is determined depending on whether the same learner answers the same question at different times. A radio button B547 for setting to determine a thinning target and a radio button B548 for setting to determine a thinning target depending on whether or not the learner has selected specific erroneous answer data are provided. Yes. In addition, the set value name “same choice” is displayed on the right side of the radio button B547, and further, on the right side, the maximum value and the minimum value that define the allowable range of the number of the same option are set. Parameter setting unit P547 is provided. On the right side of the radio button B548, the setting value name “inappropriate option” is displayed, and further on the right side, a determination value setting unit H548 used for setting a determination value corresponding to the “inappropriate option”. Is provided.

  In addition, the tabulation method setting screen D5 is provided with a selectable button B51 for instructing the start of tabulation. When the administrator selects the button B51 by operating the input unit 43, an instruction to start counting is given to the learning support system 1.

  The continuation of the learning history tabulation process will be described with reference to FIG. 13A. The administrator operates the tabulation method setting screen D5, specifies the setting value of the tabulation method, and gives an instruction to start counting. When the CPU 41a of the management client 4 receives the aggregation method setting value and the aggregation start instruction, the CPU 41a transmits aggregation start instruction data including the received aggregation method setting value to the learning server 2. Thereby, the learning server 2 receives the aggregation start instruction data, and the CPU 21a accepts the aggregation method setting value and the aggregation start instruction (step S302).

  When receiving the aggregation method setting value and the aggregation start instruction in step S302, the CPU 21a determines whether or not “learning time” is specified as the thinning-out condition in the accepted aggregation method setting value (step S303). If “learning time” is specified as the search condition (YES in step S303), it is determined what kind of learning time is specified (step S304). When “standard learning time” is designated as the learning time (“standard learning time” in step S304), the CPU 21a executes a first thinning process described later (step S305), and “details” is set as the learning time. When “learning time” is designated (“detailed learning time” in step S304), a second thinning process described later is executed (step S306), and “total learning time” is designated as the learning time. In this case (“total learning time” in step S304), a third thinning process described later is executed (step S307).

  Here, the first thinning process will be described. FIG. 15 is a flowchart showing the procedure of the first thinning process. First, the CPU 21a refers to the user information database 210 and selects the first user ID registered in the user information database 210 (step S401). In this process, a user ID whose attribute information is a learner is selected. That is, when the attribute information of the user ID is an administrator, the user ID is not selected, and it is determined whether the attribute information of the next user ID is a learner.

  Next, the CPU 21a sets variables P and D to 0 (step S402). The value of the variable P is incremented by 1 (step S403). Further, the CPU 21a searches the learning history information database 220 for a learning history having the content ID included in the aggregation method setting value received in step S302 and the selected user ID, and the P included in this learning history. The first time T1 and the third time T3 included in the first learning history (record) are acquired (step S404). As shown in FIG. 4, the record registered in the learning history information database 220 corresponds to the answer of one question. In the process of step S404, one record corresponding to the content ID and the user ID is searched, and the first time T1 and the third time T3 included in the record are acquired. That is, the time T1 when the question of one question is displayed when the user ID learns the teaching material of the content ID and the time T3 when the answer to the question is received are acquired.

  Next, the CPU 21a calculates T3-T1, and stores the calculation result in the RAM 21c as the standard learning time TS (step S405). Further, the CPU 21a determines whether or not the TS is within the allowable range (step S406). That is, it is determined whether or not TS is between the maximum value and the minimum value (see FIG. 14) of the standard time set in the parameter setting unit P541 of the aggregation method setting screen D5. This process will be described in detail. The standard learning time TS means the time from when a question is displayed to when it is answered when a learner with a selected user ID answers a certain question. When the learning is properly performed, the learner needs to read the question sentence and select an appropriate option, so that the standard learning time TS becomes a certain length. That is, when the standard learning time TS is too short, it can be considered that an inappropriate answer has been made, for example, the learner randomly selects an option without reading the question sentence. In addition, when the standard learning time TS is too long, it can be considered that an inappropriate answer has been made, for example, a reference book is read and an answer to a question is examined. Therefore, in the process of step S406, it is determined whether or not the answer has been appropriately performed on the question by determining whether or not the standard learning time TS is within the allowable range.

  If TS is within the allowable range in step S406 (YES in step S406), it can be considered that the answer to the problem has been appropriately made, and thus the CPU 21a proceeds directly to step S408. On the other hand, if the TS is not within the allowable range in step S406 (NO in step S406), it can be considered that the answer to the problem has been made inappropriately. In this case, the CPU 21a increments the value of the variable D by 1 (step S407) and advances the process to step S408. That is, each time it is determined that an inappropriate answer has been made to the problem, the value of the variable D increases.

  In step S408, the CPU 21a determines whether or not the value of the variable P matches the number of learning histories to be counted among the learning histories of the learning material of the learner of the selected user ID (step S408). ). That is, of the records registered in the learning history information database 220, the total number of records that have the selected user ID and the set content ID and meet the conditions set on the tabulation method setting screen D5 It is determined whether or not (that is, the total number of answers in the learning history to be counted by the learner) matches the value of the variable P. In step S408, if the value of variable P does not match the number of learning histories to be counted (NO in step S408), CPU 21a returns the process to step S403. On the other hand, when the value of the variable P matches the number of learning histories to be aggregated in step S408 (YES in step S408), the CPU 21a advances the process to step S409.

  In step S409, the CPU 21a compares the value of the variable D with the determination value TH set in the determination value setting unit H541 of the counting method setting screen D5 (step S409). The value of the variable D indicates an inappropriate number of answers when the learner learns the teaching material. In other words, it can be determined that the greater the value of the variable D, the higher the possibility that the learner has improperly learned. On the other hand, for example, if the learner knew the answer to the problem and the standard learning time was short, it was determined that this was an inappropriate answer even though the incorrect answer was not given. It is also possible that When the value of the variable D is added due to such an erroneous determination, it is not appropriate to exclude the learner's learning history from the subject of aggregation. Therefore, in the process of step S409, when the value of the variable D is equal to or smaller than the determination value from such a viewpoint, it is determined that the learning history of the learner is to be counted, and the value of the variable D exceeds the determination value Is determined to exclude the learning history of the learner from the aggregation target (to be thinned out). Therefore, in step S409, if TH ≧ D (YES in step S409), the CPU 21a proceeds directly to step S411, and if TH <D (NO in step S409), the learner's The learning history is determined as a thinning target, the selected user ID is stored as a thinning target in the RAM 21c (step S410), and the process proceeds to step S411.

  In step S411, the CPU 21a determines whether or not all user IDs registered in the user information database 210 have been selected (step S411). If there is a user ID that has not yet been selected (in step S411). NO), the next user ID whose attribute information is a learner is selected (step S412), and the process returns to step S402. On the other hand, if it is determined in step S411 that all user IDs registered in the user information database 210 have been selected (YES in step S411), the CPU 21a ends the first thinning process, and the learning history tabulation process The processing is returned to the call address of the first thinning-out processing at.

  Next, the second thinning process will be described. FIG. 16 is a flowchart showing the procedure of the second thinning process. First, the CPU 21a refers to the user information database 210 and selects the first user ID registered in the user information database 210 (step S421). Since this process is the same as the process of step S401 of the first thinning process, the description thereof is omitted.

  Next, the CPU 21a sets each of the variables P, DP, and DA to 0 (step S422). The value of the variable P is incremented by 1 (step S423). Further, the CPU 21a searches the learning history information database 220 for a learning history having the content ID included in the aggregation method setting value received in step S302 and the selected user ID, and the P included in this learning history. The first time T1, the second time T2, and the third time T3 included in the th learning history (record) are acquired (step S424). As shown in FIG. 4, the record registered in the learning history information database 220 corresponds to the answer of one question. In the process of step S424, one record corresponding to the content ID and the user ID is searched, and the first time T1 and the third time T3 included in the record are acquired. That is, when the user ID has learned the teaching material of the content ID, the time T1 when the question of one question is displayed, the time T2 when the request for displaying the question option is received, and the answer of the question are received Time T3 is acquired.

  Next, the CPU 21a calculates T2-T1, stores the calculation result in the RAM 21c as the question time TP (step S425), calculates T3-T2, and stores the calculation result in the RAM 21c as the answer time TA (step S426). ). Furthermore, the CPU 21a determines whether or not TP is within the allowable range (step S427). That is, it is determined whether or not TP is between the maximum value and the minimum value (see FIG. 14) of the question time set in the parameter setting unit P542 of the counting method setting screen D5. This process will be described in detail. The question time TP means the time from when a question is displayed until when a learner with a selected user ID answers a question, until an instruction to display an option is received. When learning is performed appropriately, the learner needs to read the question sentence, so this question time TP becomes a certain length. That is, if the question time TP is too short, it can be considered that an inappropriate answer has been made, for example, the learner randomly selects an option without reading the question sentence. If the question time TP is too long, it can be considered that an inappropriate answer has been made, for example, a reference book is read and the answer to the question is examined. Therefore, in the process of step S427, it is determined whether or not the answer has been appropriately made to the question by determining whether or not the question time TP is within the allowable range.

  If TP is within the allowable range in step S427 (YES in step S427), it can be considered that the problem has been read appropriately, and the CPU 21a proceeds to step S429 as it is. On the other hand, if TP does not fall within the allowable range in step S427 (NO in step S427), it can be considered that the problem has not been read properly. In this case, the CPU 21a increments the value of the variable DP by 1 (step S428) and advances the process to step S429. That is, each time it is determined that the problem has not been read properly, the value of the variable DP increases.

  In step S429, the CPU 21a determines whether or not TA is within the allowable range (step S429). That is, it is determined whether or not TA is between the maximum value and the minimum value (see FIG. 14) of the answer time set in the parameter setting unit P543 of the counting method setting screen D5. This process will be described in detail. The answer time TA means a time from when an instruction to display an option is received until an answer is received when a learner with a selected user ID answers a question. When learning is performed appropriately, the learner needs to consider which option is the correct answer, so the answer time TA becomes a certain length. That is, when the answer time TA is too short, it can be considered that an inappropriate answer such as a learner randomly selecting an option has been performed. If the answer time TA is too long, it can be considered that an inappropriate answer has been made, for example, a reference book is read and the answer to the question is examined. Therefore, in the process of step S429, it is determined whether or not the answer has been appropriately performed on the question by determining whether or not the answer time TA is within the allowable range.

  If TA is within the allowable range in step S429 (YES in step S429), it can be considered that the answer has been made appropriately, and thus the CPU 21a proceeds directly to step S431. On the other hand, if TA is not within the allowable range in step S429 (NO in step S429), it can be considered that an inappropriate answer has been made. In this case, the CPU 21a increments the value of the variable DA by 1 (step S430) and advances the process to step S431. That is, each time it is determined that an inappropriate answer is being made, the value of the variable DA increases.

  In step S431, the CPU 21a determines whether or not the value of the variable P matches the number of learning histories to be counted among learning histories of the learning material of the learner of the selected user ID (step S431). ). In step S431, when the value of the variable P does not match the number of learning histories to be counted (NO in step S431), the CPU 21a returns the process to step S423. On the other hand, when the value of the variable P matches the number of learning histories to be aggregated in step S431 (YES in step S431), the CPU 21a advances the process to step S432.

  In step S432, the CPU 21a compares the value of the variable DP with the determination value THP set in the determination value setting unit H542 of the totaling method setting screen D5, and compares the value of the variable DA with the determination value of the totaling method setting screen D5. The determination value THA set in the setting unit H543 is compared (step S432). The value of the variable DP indicates the number of inappropriate answers when the learner learns the teaching material. In other words, it can be determined that the greater the value of the variable DP, the higher the possibility that the learner has improperly learned. On the other hand, for example, if the learner has solved the same problem once and the question time is short, this is an inappropriate answer even though the answer is not appropriate. It is also considered that it was judged. When the value of the variable DP is added due to such an erroneous determination, it is not appropriate to exclude the learner's learning history from the subject of aggregation. Similarly, the value of the variable DA also indicates the number of inappropriate answers when the learner learns the teaching material. That is, it can be determined that the greater the value of the variable DA, the higher the possibility that the learner has improperly learned. Furthermore, for example, if the learner has solved the same problem once and the answer time is short, this is an inappropriate answer even though the answer is not appropriate. It is also considered that it was judged. When the value of the variable DA is added due to such erroneous determination, it is not appropriate to exclude the learner's learning history from the subject of aggregation. Therefore, in the process of step S432, from the above viewpoint, the learning history of the learner is counted based on the comparison result between the variable DP and the determination value THP and the comparison result between the variable DA and the determination value THA. It is determined whether or not. Here, for example, when the value of the variable DP is equal to or smaller than the determination value THP and the value of the variable DA is equal to or smaller than the determination value THA, it is determined that the learning history of the learner is to be counted, and otherwise Can be determined to exclude the learning history of the learner from the total. Further, when the value of the variable DP is equal to or less than the determination value THP or the value of the variable DA is equal to or less than the determination value THA, it is determined that the learning history of the learner is to be counted, and otherwise Can also be determined to exclude the learning history of the learner from the subject of aggregation. As described above, the administrator can set how to make the determination using the comparison result between the variable DP and the determination value THP and the comparison result between the variable DA and the determination value THA. In the present embodiment, when the value of the variable DP is equal to or less than the determination value THP and the value of the variable DA is equal to or less than the determination value THA, it is determined that the learning history of the learner is to be counted, otherwise In this case, it is determined that the learning history of the learner is excluded from the aggregation target.

  If THP ≧ DP and THA ≧ DA in step S432 (YES in step S432), the CPU 21a proceeds directly to step S434, and if THP <DP or THA <DP (in step S432). NO), the learning history of the learner is determined as a thinning target, the selected user ID is stored as a thinning target in the RAM 21c (step S433), and the process proceeds to step S434.

  In step S434, the CPU 21a determines whether or not all user IDs registered in the user information database 210 have been selected (step S434). If there is a user ID that has not yet been selected (in step S434). NO), the next user ID whose attribute information is a learner is selected (step S435), and the process returns to step S422. On the other hand, if it is determined in step S434 that all user IDs registered in the user information database 210 have been selected (YES in step S434), the CPU 21a ends the second thinning process, and the learning history tabulation process The processing is returned to the call address of the second thinning-out processing at.

  Next, the third thinning process will be described. FIG. 17 is a flowchart showing the procedure of the third thinning process. First, the CPU 21a refers to the user information database 210 and selects the first user ID registered in the user information database 210 (step S441). Since this process is the same as the process of step S401 of the first thinning process, the description thereof is omitted.

  Next, the CPU 21a sets each of the variables P, D, and TT to 0 (step S442). The value of the variable P is incremented by 1 (step S443). Further, the CPU 21a searches the learning history information database 220 for a learning history having the content ID included in the aggregation method setting value received in step S302 and the selected user ID, and the P included in this learning history. The first time T1 and the third time T3 included in the first learning history (record) are acquired (step S444).

  Next, the CPU 21a calculates T3-T1, and stores the value obtained by adding the calculation result to the total learning time TT in the RAM 21c as a new total learning time TT (step S445). Thereby, the learning time spent by the learner in each question of the teaching material is sequentially added, and the resulting value is stored as the total learning time TT.

  Further, the CPU 21a determines whether or not the value of the variable P matches the number of learning histories to be aggregated among learning histories of the learning material of the learner of the selected user ID (step S446). In step S446, if the value of variable P does not match the number of learning histories to be counted (NO in step S446), CPU 21a returns the process to step S443. On the other hand, when the value of the variable P matches the number of learning histories to be counted in step S446 (YES in step S446), the CPU 21a advances the process to step S447. Thereby, the value of the total learning time TT finally obtained is the total of the learning time spent by the learner in all questions of the teaching material.

  In step S447, the CPU 21a determines whether or not TT is within the allowable range (step S447). That is, it is determined whether or not TT is between the maximum value and the minimum value (see FIG. 14) of the total learning time set in the parameter setting unit P544 of the aggregation method setting screen D5. This process will be described in detail. The total learning time TT means the total learning time spent for each question when the learner with the selected user ID learns about a certain teaching material. When learning is performed appropriately, the learner needs to read the question sentence and select an appropriate option, so this total learning time TT becomes a certain length. That is, when the total learning time TT is too short, it can be considered that an inappropriate answer has been made, for example, in which each learner randomly selects an option without reading a question sentence. If the total learning time TT is too long, for example, when answering a problem included in the teaching material, it can be considered that an inappropriate answer such as reading a reference book and examining the answer of the question was performed. . Therefore, in the process of step S447, it is determined whether or not the answer has been appropriately made to the question by determining whether or not the total learning time TT is within the allowable range.

  The fact that the total learning time is within the allowable range means that the learning time of one whole learning material is appropriate, and it can be said that there is a high possibility that learning has been appropriately performed on the entire learning material. For this reason, when TT is within the allowable range in step S447 (YES in step S447), the CPU 21a advances the process to step S449 as it is. On the other hand, the fact that the total learning time does not fall within the allowable range means that the learning time of one whole learning material is inappropriate, and there is a high possibility that learning is not properly performed in the whole learning material. I can say that. Therefore, when the TT is not within the allowable range in step S447 (NO in step S447), the CPU 21a determines the learning history of the learner as a thinning target and thins out the selected user ID. The target is stored in the RAM 21c (step S448), and the process proceeds to step S449.

  In step S449, the CPU 21a determines whether or not all user IDs registered in the user information database 210 have been selected (step S449). If there is a user ID that has not yet been selected (in step S449). NO), the next user ID whose attribute information is a learner is selected (step S450), and the process returns to step S442. On the other hand, if it is determined in step S449 that all user IDs registered in the user information database 210 have been selected (YES in step S449), the CPU 21a ends the third thinning process, and the learning history tabulation process The process is returned to the call address of the third thinning-out process in FIG.

  The continuation of the learning history tabulation process will be described with reference to FIGS. 13A and 13B. After completing the first thinning process, the second thinning process, or the third thinning process, the CPU 21a advances the process to step S308. In addition, when “learning time” is not specified in the thinning-out condition in step S303 (NO in step S303), the CPU 21a advances the process to step S308.

  In step S308, the CPU 21a determines whether or not “learning count” is specified in the thinning condition (step S308). If “learning count” is specified in the thinning condition (in step S308). YES), the fourth thinning process is executed (step S309).

  Next, the fourth thinning process will be described. FIG. 18 is a flowchart illustrating the procedure of the fourth thinning process. First, the CPU 21a refers to the user information database 210 and selects the first user ID registered in the user information database 210 (step S501). Since this process is the same as the process of step S401 of the first thinning process, the description thereof is omitted.

  Next, the CPU 21a searches the learning history information database 220 for a learning history having the content ID included in the tabulation method setting value received in step S302 and the selected user ID, and sets the searched learning history. Among the included learning times, the maximum learning number ST is acquired (step S502). For example, in the case of a user who has learned twice about the same learning material, learning history information whose learning count is “1” and learning history information whose learning count is “2” are stored in the learning history information database 220. Accordingly, among the learning history information stored in the learning history information database 220, the learning history information whose learning frequency is “2” is the learning history information related to the last learning of the teaching material. Therefore, the learning count in this case is “2”.

  Next, the CPU 21a determines whether or not ST is within an allowable range (step S503). That is, it is determined whether or not ST is between the maximum value and the minimum value (see FIG. 14) of the total number of times set in the parameter setting unit P545 of the aggregation method setting screen D5. This process will be described in detail. The learning number ST means the number of learnings for a certain teaching material for the learner of the selected user ID. In the case of the learning support system 1 according to the present embodiment, when learning a learning material having a plurality of questions, the learning is repeatedly performed until all questions are answered correctly. Also, once correctly answered, the questions will not be given from the next learning. Therefore, when learning is performed appropriately, all the problems are correctly answered with a certain number of times of learning. In other words, if the number of times of learning ST is too large, for example, the same question is repeated many times as a result of an inappropriate answer such as a student randomly selecting an option without reading a question sentence in each question. It can be thought that the answer was incorrect and learning was repeated many times. Therefore, in the process of step S503, it is determined whether or not the answer has been appropriately made to the problem by determining whether or not the number of learning times ST is within the allowable range.

  That the number of learnings is within the allowable range means that the number of learnings for one entire teaching material is appropriate, and it can be said that there is a high possibility that learning has been appropriately performed for the entire teaching material. For this reason, when ST is within the allowable range in step S503 (YES in step S503), the CPU 21a proceeds to step S505 as it is. On the other hand, if the number of learnings does not fall within the allowable range, it means that the number of learnings for one entire teaching material is inappropriate, and there is a high possibility that learning is not properly performed for the entire teaching material. . Therefore, when ST is not within the allowable range in step S505 (NO in step S503), the CPU 21a determines the learning history of the learner as a thinning target, and thins out the selected user ID. The target is stored in the RAM 21c (step S504), and the process proceeds to step S505.

  In step S505, the CPU 21a determines whether all user IDs registered in the user information database 210 have been selected (step S505). If there is a user ID that has not yet been selected (in step S505). NO), the next user ID whose attribute information is a learner is selected (step S506), and the process returns to step S502. On the other hand, if it is determined in step S505 that all user IDs registered in the user information database 210 have been selected (YES in step S505), the CPU 21a ends the fourth thinning process, and the learning history tabulation process The processing is returned to the call address of the fourth thinning-out processing in FIG.

  The continuation of the learning history tabulation process will be described with reference to FIG. 13B. After finishing the fourth thinning process, the CPU 21a advances the process to step S310. Also, in the case where “learning count” is not specified in the thinning-out condition in step S308 (NO in step S308), the CPU 21a advances the process to step S310.

  In step S310, the CPU 21a determines whether or not the “convergence condition” is designated as the thinning condition (step S310). If the “convergence condition” is designated as the thinning condition (in step S310). YES), the fifth thinning process is executed (step S311).

  Here, the fifth thinning process will be described. FIG. 19 is a flowchart showing the procedure of the fifth thinning process. First, the CPU 21a refers to the user information database 210 and selects the first user ID registered in the user information database 210 (step S601). Since this process is the same as the process of step S401 of the first thinning process, the description thereof is omitted.

  Next, the CPU 21a sets variables C and D to 0 (step S602). The value of variable C is incremented by 1 (step S603). Further, the CPU 21a searches the learning history information database 220 for a learning history having the content ID included in the tabulation method setting value received in step S302, the selected user ID, and the learning count C. From this learning history, the correct answer rate R1 in the C-th learning (that is, the ratio of correctly answered questions out of the total number of questions presented in the C-th learning) is calculated, and the same content ID, the same user ID, Then, the learning history having the learning count C-1 is searched, and the correct answer rate R0 in the C-1th learning is calculated from the learning history (step S604).

  Next, the CPU 21a determines whether or not the correct answer rate R1 in the C-th learning exceeds the correct answer rate R0 in the C-1 learning (step S605). When the learning is performed properly, it is considered that the correct answer rate R1 in the C-th (current) learning is higher than the correct answer rate R0 in the C-first (previous) learning. Therefore, in the process of step S605, it is determined whether or not the answer has been appropriately performed for the question by determining whether or not the correct answer rate R1 is greater than the correct answer rate R0.

  If R1> R0 is satisfied in step S605 (YES in step S605), it can be considered that the answer to the problem has been appropriately made, and the CPU 21a proceeds to step S607 as it is. On the other hand, if R1> R0 does not hold in step S605 (NO in step S605), it can be considered that the answer to the problem has been made inappropriately. In this case, the CPU 21a increments the value of the variable D by 1 (step S606) and advances the process to step S607. That is, each time it is determined that an inappropriate answer has been made to the problem, the value of the variable D increases.

  In step S607, the CPU 21a determines whether or not the value of the variable C matches the number of learning times of the learning material by the learner of the selected user ID (step S607). In step S607, when the value of the variable C does not match the number of learning times of the learning material by the learner of the selected user ID (NO in step S607), the CPU 21a returns the process to step S603. On the other hand, when the value of the variable C matches the number of learning times of the learning material by the learner of the selected user ID in step S607 (YES in step S607), the CPU 21a advances the process to step S608.

  In step S608, the CPU 21a compares the value of the variable D with the determination value TH set in the determination value setting unit H546 of the counting method setting screen D5 (step S608). The value of the variable D indicates the number of times of inappropriate learning when the learner learns the teaching material. In other words, it can be determined that the greater the value of the variable D, the higher the possibility that the learner has improperly learned. On the other hand, for example, the correct answer rate of the C-1 learning is high because there were many problems that the learner knew the answer of the problem, and only the problem that was the previous incorrect answer was given, so the correct answer of the C learning When the rate is low, it may be determined that this is improper learning even though improper learning is not performed. When the value of the variable D is added due to such an erroneous determination, it is not appropriate to exclude the learner's learning history from the subject of aggregation. Therefore, in the process of step S608, when the value of the variable D is equal to or less than the determination value from such a viewpoint, it is determined that the learning history of the learner is to be counted, and the value of the variable D exceeds the determination value Is determined to exclude the learning history of the learner from the aggregation target (to be thinned out). Therefore, in step S608, if TH ≧ D (YES in step S608), the CPU 21a proceeds directly to step S610, and if TH <D (NO in step S608), the learner's The learning history is determined as a thinning target, the selected user ID is stored as a thinning target in the RAM 21c (step S609), and the process proceeds to step S610.

  In step S610, the CPU 21a determines whether or not all user IDs registered in the user information database 210 have been selected (step S610). If there is a user ID that has not yet been selected (in step S610). NO), the next user ID whose attribute information is a learner is selected (step S611), and the process returns to step S602. On the other hand, if it is determined in step S610 that all user IDs registered in the user information database 210 have been selected (YES in step S610), the CPU 21a ends the fifth thinning process, and the learning history tabulation process The process is returned to the call address of the fifth thinning-out process in FIG.

  The continuation of the learning history tabulation process will be described with reference to FIG. 13B. After finishing the fifth thinning process, the CPU 21a advances the process to step S312. Also, in step S310, when the “convergence condition” is not specified as the thinning-out condition (NO in step S310), the CPU 21a advances the process to step S312.

  In step S312, the CPU 21a determines whether or not “selection information” is designated in the thinning condition (step S312). If “selection information” is designated in the thinning condition (in step S312). YES), it is determined what kind of selection information is designated (step S313). When the “same option” is specified as the selection information (“same option” in step S313), the CPU 21a executes a sixth thinning-out process described later (step S314), and “inappropriate option” is selected as the selection information. "Is designated (" unsuitable option "in step S313), a seventh thinning process described later is executed (step S315).

  Here, the sixth thinning process will be described. FIG. 20 is a flowchart showing the procedure of the sixth thinning process. First, the CPU 21a refers to the user information database 210 and selects the first user ID registered in the user information database 210 (step S701). Since this process is the same as the process of step S401 of the first thinning process, the description thereof is omitted.

  Next, the CPU 21a sets variables P and D to 0 (step S702). The value of variable P is incremented by 1 (step S703). Further, the CPU 21a searches the learning history information database 220 for a learning history having the content ID included in the aggregation method setting value received in step S302 and the selected user ID, and the P included in this learning history. The selection information included in the first learning history (record) and other selection information of the same problem included in the learning history included in the learning history are acquired (step S704). In learning using the learning support system 1 according to the present embodiment, learning is performed twice or more for the same problem when the number of learning is plural. That is, when there are a plurality of learning times, as shown in FIG. 4, there are a plurality of learning histories having different learning times and the same question number. For example, in FIG. 4, the learning history (record) with the learning count “2” and the question number “2” and the learning history (record) with the learning count “1” and the question number “2”. ) And exist. In the process of step S704, selection information is acquired from each of these two records. For example, in FIG. 4, the selection information “apple” is acquired from the learning history with the learning number “2”, the question number “2”, the learning number “1”, and the question number “2”. The selection information “Momo” is acquired from the learning history. At this time, all of the selection information included in the P-th learning history and the selection information in the learning history whose learning count is smaller than the learning count of the P-th learning history are acquired. That is, for example, when the value of P is “6”, the selection information “cabbage” is acquired from the sixth record shown in FIG. 4, and the learning count “2” smaller than the learning count “3” of this record and Selection information “green pepper” and “lettuce” are acquired from each of the records of “1”. If the learning count of the Pth record is “1”, only the selection information of this record is acquired, and no other selection information is acquired.

  Next, the CPU 21a determines whether or not the acquired selection information matches each other (step S705). This process will be described in detail. When the question is answered twice or more, if the learning is appropriately performed, the same option as the option selected in the past is not selected later. Therefore, when the same question is answered twice or more and the same option is selected twice or more, it can be considered that an inappropriate answer such as randomly selecting an option has been made. Therefore, in the process of step S705, it is determined whether the selection information when the answer to the same question is made a plurality of times is the same. Is determined. In the process of step S705, if only one selection information is acquired in step S704, it is determined that the selection information does not match.

  If the selection information does not match in step S705 (NO in step S705), it can be considered that the answer to the question has been appropriately made, and the CPU 21a proceeds to step S707 as it is. On the other hand, if the selection information matches in step S705 (YES in step S705), it can be considered that the answer to the question has been made inappropriately. In this case, the CPU 21a increments the value of the variable D by 1 (step S706), and proceeds to step S707. That is, each time it is determined that an inappropriate answer has been made to the problem, the value of the variable D increases.

  In step S707, the CPU 21a determines whether or not the value of the variable P matches the number of learning histories to be aggregated among the learning histories of the learning material for the learner of the selected user ID (step S707). ). In step S707, when the value of the variable P does not match the number of learning histories to be counted (NO in step S707), the CPU 21a returns the process to step S703. On the other hand, when the value of the variable P matches the number of learning histories to be aggregated in step S707 (YES in step S707), the CPU 21a advances the process to step S708.

  In step S708, the CPU 21a determines whether or not the value of the variable D is within the allowable range (step S708). That is, it is determined whether or not D falls between the maximum value and the minimum value (see FIG. 14) of the same number of options set in the parameter setting unit P547 of the aggregation method setting screen D5. In step S708, when the value of the variable D is within the allowable range, it is determined that the learning history of the learner is to be counted, and when the value of the variable D does not fall within the allowable range, the learner It is determined that the learning history is excluded from the objects to be counted (to be thinned out). For this reason, if the value of D falls within the allowable range in step S708 (YES in step S708), the CPU 21a proceeds directly to step S710, and if the value of D falls outside the allowable range (step In S708, the learning history of the learner is determined as a thinning target, the selected user ID is stored in the RAM 21c as a thinning target (Step S709), and the process proceeds to Step S710.

  In step S710, the CPU 21a determines whether all user IDs registered in the user information database 210 have been selected (step S710). If there is a user ID that has not yet been selected (in step S710). NO), the next user ID whose attribute information is a learner is selected (step S711), and the process returns to step S702. On the other hand, if it is determined in step S710 that all user IDs registered in the user information database 210 have been selected (YES in step S710), the CPU 21a ends the sixth thinning process, and the learning history tabulation process The processing is returned to the calling address of the sixth thinning-out processing in FIG.

  Next, the seventh thinning process will be described. FIG. 21 is a flowchart showing the procedure of the seventh thinning process. First, the CPU 21a refers to the user information database 210 and selects the first user ID registered in the user information database 210 (step S721). Since this process is the same as the process of step S401 of the first thinning process, the description thereof is omitted.

  Next, the CPU 21a sets variables P and D to 0 (step S722). The value of variable P is incremented by 1 (step S723). Further, the CPU 21a searches the learning history information database 220 for a learning history having the content ID included in the aggregation method setting value received in step S302 and the selected user ID, and the P included in this learning history. Selection information included in the th learning history (record) is acquired (step S724).

  Next, the CPU 21a determines whether or not the acquired selection information corresponds to specific incorrect answer data (unsuitable option) (step S725). This process will be described in detail. As shown in FIG. 3, in the learning material database 200, in the field F 209, erroneous answer data (hereinafter referred to as “specific erroneous answer data”) that can be clearly determined as an inappropriate option by a normal learner. Stored. When the learner selects the specific answer data when selecting an option, it can be considered that an inappropriate answer such as selecting an option at random was performed. Therefore, in the process of step S725, it is determined whether or not the selection information selected by the learner corresponds to the specific incorrect answer data, so that the answer is inappropriately performed or the answer is appropriately performed. It has been determined whether or not

  In step S725, if the selection information does not correspond to the specific incorrect answer data (NO in step S725), it can be considered that the answer to the problem has been appropriately performed, and thus the CPU 21a proceeds directly to step S727. On the other hand, if the selection information corresponds to the specific incorrect answer data in step S725 (YES in step S725), it can be considered that the answer to the question was improperly performed. In this case, the CPU 21a increments the value of the variable D by 1 (step S726) and advances the process to step S727. That is, each time it is determined that an inappropriate answer has been made to the problem, the value of the variable D increases.

  In step S727, the CPU 21a determines whether or not the value of the variable P matches the number of learning histories to be counted among learning histories of the learning material of the learner of the selected user ID (step S727). ). In step S727, if the value of variable P does not match the number of learning histories to be counted (NO in step S727), CPU 21a returns the process to step S723. On the other hand, when the value of the variable P matches the number of learning histories to be aggregated in step S727 (YES in step S727), the CPU 21a advances the process to step S728.

  In step S728, the CPU 21a compares the value of the variable D with the determination value TH set in the determination value setting unit H548 of the aggregation method setting screen D5 (step S728). The value of the variable D indicates an inappropriate number of answers when the learner learns the teaching material. In other words, it can be determined that the greater the value of the variable D, the higher the possibility that the learner has improperly learned. On the other hand, for example, when a learner selects specific incorrect answer data due to an operation error, it is determined that this is an inappropriate answer even though an inappropriate answer has not been made. Is also possible. When the value of the variable D is added due to such an erroneous determination, it is not appropriate to exclude the learner's learning history from the subject of aggregation. Therefore, in the process of step S728, when the value of the variable D is equal to or less than the determination value from such a viewpoint, it is determined that the learning history of the learner is to be counted, and the value of the variable D exceeds the determination value Is determined to exclude the learning history of the learner from the aggregation target (to be thinned out). Therefore, in step S728, if TH ≧ D (YES in step S728), the CPU 21a proceeds directly to step S730, and if TH <D (NO in step S728), the learner's The learning history is determined as a thinning target, the selected user ID is stored in the RAM 21c as a thinning target (step S729), and the process proceeds to step S730.

  In step S730, the CPU 21a determines whether all user IDs registered in the user information database 210 have been selected (step S730). If there is a user ID that has not yet been selected (in step S730). NO), the next user ID whose attribute information is a learner is selected (step S731), and the process returns to step S722. On the other hand, if it is determined in step S730 that all user IDs registered in the user information database 210 have been selected (YES in step S730), the CPU 21a ends the seventh thinning process, and the learning history tabulation process The process is returned to the call address of the seventh thinning-out process in FIG.

  The continuation of the learning history tabulation process will be described with reference to FIG. 13B. After finishing the sixth thinning process or the seventh thinning process, the CPU 21a advances the process to step S316. Also, in step S312, when “selection information” is not specified in the thinning-out condition (NO in step S312), the CPU 21a advances the process to step S316.

  In step S316, the CPU 21a executes a learning history counting process (step S316). In this processing, the learning history information is totaled according to the designated totaling method setting value. For example, when the erroneous answer ranking (first time) of the learning material with the content ID “001” is set, the learning history information with the content ID “001” is acquired from the learning history information database 220, and a problem is found from each learning history information. Each time, the number of wrong answers is required. In addition, when the thinning setting as described above is performed, the thinning target user ID is read from the RAM 21c, and the thinning target user ID of the thinning target user ID is read from all the learning history information of the content ID “001”. The learning history information is removed, and the learning history information remaining as a result is aggregated.

  Next, the CPU 21a transmits information on the aggregation result to the management client 4 (step S317), and causes the management client 4 to display the aggregation result screen. FIG. 22 is a diagram illustrating an example of the total result screen. As shown in FIG. 22, the total result screen D6 includes a content ID display area P61 for displaying the content ID of the designated teaching material and a graph pattern display area P62 for displaying the name of the designated graph pattern. And a thinning method designation area P63 for resetting the thinning method for learning history, and a totaling result display area P64 for displaying the totaling results.

  The content ID display area P61 is arranged in the upper left part of the counting result screen D6. In the content ID display area P61, the designated content ID is displayed. The graph pattern display area P62 is arranged on the upper right portion of the total result screen D6, that is, on the right side of the content ID display area P61. In the graph pattern display area P62, the name of the designated graph pattern is displayed.

  A thinning method designation area P63 is arranged below the content ID display area P61 and the graph pattern display area P62. In this thinning method designation area P63, the parameters of the thinning method set in the above-described totaling method setting screen D5 are displayed. The thinning method designation area P63 cannot normally be operated (the set value cannot be changed), but can be changed to an operable state as will be described later.

  Further, a totaling result display area P64 is arranged below the thinning method designation area P63. In the count result display area P64, the count results before thinning out the learning history and the count results after thinning out the learning history are displayed side by side. Each tabulation result is displayed in a graph format. In other words, when the graph pattern is “wrong answer ranking (first time)”, for each question, the result of totaling the number of learners who made wrong answers in the first answer is displayed in a graph format. In the example shown in FIG. 22, before thinning is applied, the number of learners who made an incorrect answer in question 3 is 4000, and the number of learners who made an incorrect answer in question 2 is 3600. The number of learners who made a wrong answer in question 1 is 1200. On the other hand, after thinning is applied, the number of learners who answered wrong in question 3 was 3980, the number of learners who answered wrong in question 2 was 3580, The number of learners who answered is 1180. That is, as a result of thinning out, the number of learners who made wrong answers in each of Questions 1 to 3 has decreased by 20 people. This means that in the totaled results before thinning-out, 20 questions were included among the learners who made incorrect answers in each question. On the total result screen D6 of the “wrong answer ranking (first time)”, the total results of the questions are displayed side by side in the order in which the number of wrong answers is large in the first answer. That is, the total result of question 3 with the largest number of wrong answers is displayed at the top of the graph, and the total result of question 2 with the largest number of wrong answers is displayed at the middle of the graph. Question 1 with the least number of learners who made wrong answers is displayed at the bottom of the graph.

  A selectable button B61 for changing the set value of the counting method is provided in the lower right corner of the counting result screen D6. As described above, when the management client 4 receives the selection of the button B61 from the administrator, the management client 4 transmits instruction data to the learning server 2 instructing to change the setting value of the aggregation method. When the learning server 2 receives the instruction data (YES in step S318), the learning server 2 transmits data for changing the thinning method designation area P63 to an operable state, and the management client 4 receives the data. The tabulation result display screen of the management client 4 is in a state where it can accept the change of the setting value of the thinning method. By operating the aggregation result display screen in this state, the administrator can input a new setting value of the aggregation method. The new set value input in this way is transmitted from the management client 4 to the learning server 2 and received by the learning server 2 (step S319).

  The CPU 21a of the learning server 2 that has received the new setting value of the thinning method returns the process to step S303, and again determines the thinning target for learning history and totals the learning history (steps S303 to S316). FIG. 23 is a diagram illustrating an example of the total result screen when the setting value of the thinning method is changed from the total result screen illustrated in FIG. In the example shown in FIG. 23, the standard learning time determination value is changed from “3” to “0”, and the maximum value of the allowable number of learning times is changed from “3” to “2”. As a result, in the total result screen D61 shown in FIG. 23, the number of learners who made an incorrect answer in question 3 decreased from 3980 to 3370, and the number of learners who made an incorrect answer in question 2 increased from 3580 to 3520. This shows that the number of learners who have made a mistake in question 1 has decreased from 1180 to 650. As a result, in the example shown in FIG. 23, the ranking of the incorrect answer rankings of question 2 and question 3 is switched, and the total result of question 2 is displayed at the top of the graph, and the total result of question 3 is displayed at the middle of the graph. ing. In addition, in the total result screen D61, thinning is performed on the left side of the total result display area P64 using the setting value of the thinning method before the change, not the graph of the total result that has not been thinned out at all. A graph of the total results of learning history is displayed. In addition, a graph of the learning history total result obtained by performing the thinning using the setting value of the thinning method after the change is shown in the right part of the totaling result display area P64. Thereby, the administrator can easily confirm how the aggregation result has changed before and after the change of the setting value of the thinning method. In addition, as described above, when the ranking of the number of wrong answerers between questions fluctuates due to the change in the setting value of the thinning method, the order of the aggregated results of each question in the graph is changed according to the ranking. Since the change is made, the administrator can easily grasp the change in the ranking of the incorrect answer ranking due to the strict thinning conditions. In other words, in the example of FIG. 23, the total result before the setting value of the thinning method is changed is that the number of wrong answers in question 3 is larger than the number of wrong answers in question 2. Is displayed. On the other hand, in the tabulation result after changing the setting value of the thinning method, the tabulation result that the number of wrong answerers in question 3 is smaller than the number of wrong answerers in question 2 is displayed. This is because, before the setting value of the thinning method is changed, the total result of Question 3 includes a lot of learning histories of learners who have made inappropriate answers. This is probably because most of the learning history of the learner who made an inappropriate answer was excluded from the total result of Question 3, and the total result reflecting the actual learning result was obtained. Therefore, the administrator may mistakenly determine that the learner's understanding is most insufficient in Question 3 depending on the aggregation result before changing the setting value of the thinning method. By referring to the subsequent tabulation results, it is possible to make a more reliable determination that the learner has the least understanding in question 2.

  The selectable button B62 for changing the set value of the counting method is also provided on the counting result display screen D61 after changing the set value. By using the button B62, it is possible to change the setting value of the thinning method again.

  In addition, each bar-like portion of the graph displayed in the aggregation result display area P64 can be selected by an operation input by the administrator. When the administrator operates the input unit 43 to select the bar-shaped portion G61 of the question 2, a histogram indicating the distribution of learners who have made an incorrect answer in the question 2 is displayed. FIG. 24 is a diagram showing an example in which a histogram showing the distribution of learners who have made an incorrect answer in question 2 from the state shown in FIG. 23 is displayed. As shown in FIG. 24, when the bar-shaped portion G61 of the question 2 is selected, a new window D62 is opened so as to overlap the totaling result screen D61, and a histogram is displayed in this window D62. In this histogram, the standard learning time is shown on the horizontal axis, and the number of learners who have made an incorrect answer is shown on the vertical axis. That is, in this histogram, the distribution of the number of learners who have made an incorrect answer is displayed for each standard learning time.

  Furthermore, each bar-shaped portion of the histogram displayed in the window D62 can be selected by an operation input by the administrator. When the administrator operates the input unit 43 to select the bar-shaped portion G62 indicating the number of learners with a standard learning time of 0 to 1.0 minutes, And the detailed information of the learner whose standard learning time of question 2 was 0 to 1.0 minutes is displayed. FIG. 25 is a diagram showing an example in which the detailed information is displayed from the state shown in FIG. As shown in FIG. 25, when the bar-shaped portion G62 of the histogram is selected, a new window D63 is opened so as to overlap the totaling result screen D61 and the window D62, and the detailed information is displayed in this window D63. . This information is a list of learners who have made an incorrect answer in question 2 and who have a standard learning time of question 2 between 0 and 1.0 minutes. A user ID, information on whether or not the learner has selected specific erroneous answer data, and other information are displayed for each learner. Thereby, the administrator can confirm more detailed learning history information.

  Furthermore, each line of the list displayed in the window D63 can be selected by an operation input by the administrator. FIG. 26 is a diagram illustrating an example when one row of the list is selected from the state illustrated in FIG. 25. As shown in the figure, when a row in the list is selected, the color changes to indicate that the row has been selected (indicated by hatching in the figure). In addition, the list includes a field C64 in which a selection unit for making a learner a target of thinning is arranged, and an administrator selects an arbitrary selection unit by operating the input unit 43. Thus, the learning history of the learner corresponding to the list row can be set as a thinning target. For example, in the example shown in FIG. 25, the learner corresponding to the row L64 is displayed as “applicable” in the “inappropriate option” column in the list, and the specific incorrect answer data is selected in question 2. I understand that. For this reason, when setting the learning history of the learner in the row L64 as the thinning target, the administrator selects the selection unit in the row L64 to set the learning history of the learner as the thinning target. Can do. Further, the window D63 is provided with a button B63 for causing the learning history to be totaled again by the thinning setting individually designated by the administrator in this way. The administrator can instruct recounting of the learning history by selecting this button B63.

  FIG. 27 is a diagram illustrating an example when the learning history is recounted from the state illustrated in FIG. 26. As shown in the figure, when the button B63 is selected, the windows D62 and D63 are closed, and the results totaled again are displayed on the totaling result screen D64. In this example, the learning history of the learner corresponding to the row L64 is set as the thinning target, so that the number of learners who answered the question 2 after the thinning applied is changed from 3370 to 3369. Yes. In addition, in order to indicate that the thinning target is individually specified, the bar-like part of Question 2 of the graph indicating the totaling result of learning history after thinning is applied is displayed in a different color from the other parts. Is done. By updating the counting results in this way, it is possible to obtain more accurate learning history counting results.

  Also, in FIG. 13B, when an instruction to change the setting value of the aggregation method has not been received (NO in step S318), the administrator instructs to display the aggregation method setting screen again in order to set the aggregation method again. Can be given to the learning support system 1. When the management client 4 receives such a redisplay instruction for the aggregation method setting screen, instruction data indicating the redisplay instruction for the aggregation method setting screen is transmitted from the management client 4 to the learning server 2. When the instruction data is received (YES in step S320), the CPU 21a of the learning server 2 returns the process to step S301 and transmits data for displaying the tabulation method setting screen again to the management client 4 (step S301). . On the other hand, if the instruction data indicating the instruction to redisplay the counting method setting screen is not accepted in step S320 (NO in step S320), the CPU 21a ends the learning history totaling process and the learning history totaling process in the main routine. Return processing to the call address.

  With the configuration as described above, the learning support system 1 according to the present embodiment allows the learner to select an answer option at random, or confirm the correct answer by referring to textbooks, reference books, and other documents. Even if you answer inappropriately, such as answering, by providing the total results that can accurately grasp the learning results by counting the learning history by excluding such learning history of the learner Can do.

  In the present embodiment, the thinning target is determined for each learner. Incorrect answers are often given to specific learners. For this reason, even if it can be determined that the answer is appropriately answered in the learning history of the learner, there is a possibility that the answer is actually an inappropriate answer. Therefore, the reliability of the counting result can be improved by collecting the learning histories by the learners who make an inappropriate answer in this way as a thinning target.

(Other embodiments)
In addition, in embodiment mentioned above, although the structure which determines a thinning | decimation object per learner was described, it is not limited to this. For example, a configuration may be adopted in which the thinning target is determined in question units. In this way, more detailed learning history can be thinned out.

  Moreover, although the case where the learning support system 1 is configured by the learning server 2, the learning client 3, and the management client 4 has been described in the above-described embodiment, the present invention is not limited to this. A learning support system in which all the functions of the learning server 2, the learning client 3, and the management client 4 are installed in one apparatus may be used, or any two of the learning server 2, the learning client 3, and the management client 4 The function may be mounted on one apparatus, and the other one function may be a learning support system configured to be mounted on another apparatus.

  In the embodiment described above, a server program dedicated to the learning support system is installed in the learning server 2, and a client program dedicated to the server program is installed in the learning client 3. Although the configuration in which the format data is transmitted has been described, the present invention is not limited to this. The learning server 2 may have a function as a WWW server and may transmit HTML data to the learning client 3 as a WWW client device.

  In the embodiment described above, the server program 24a dedicated to the learning support system is installed in the learning server 2, and the management client program 44a dedicated to the server program 24a is installed in the management client 4, and the learning server 2 and Although the configuration in which the management client 4 performs the above-described totaling of learning histories has been described, the present invention is not limited to this. A configuration in which the WWW browser program is installed in the management client 4 and the learning server 2 functioning as a WWW server and the management client 4 functioning as a WWW client communicate with each other by using the http protocol, and the learning history is aggregated is also possible. Good. In this case, each screen displayed by the management client 4 is not generated by the management client 4, but the learning server 2 generates HTML data of screens corresponding to the tabulation method setting screen and the tabulation result screen. The HTML data is transmitted to the server, and these screens are displayed by the WWW browser program of the management client 4.

  In the above-described embodiment, the configuration in which all processing of the computer program 24a is executed by the single computer 2a has been described. However, the present invention is not limited to this, and processing similar to that of the computer program 24a described above is performed. It is also possible to make a distributed system in which a plurality of devices (computers) are executed in a distributed manner. The same applies to the computers 3a and 4a.

  A learning support system, a learning history counting method for a learning support system, and a computer program according to the present invention include a learning support system for supporting learning of a learner, and a learning history total for counting learning history using the learning support system. This method is useful as a method and a computer program for causing a computer to aggregate learning histories in a learning support system.

1 learning support system 2 learning server 2a computer 21a CPU
21b ROM
21c RAM
21d hard disk 24a computer program 3 learning client 3a computer 31a CPU
31b ROM
31c RAM
31d hard disk 4 management client 4a computer 41a CPU
41b ROM
41c RAM
41d hard disk 42 image display unit 43 input unit 44a computer program

Claims (14)

A display unit that displays a question used for learning; an input unit that receives an answer to the question displayed on the display unit from a learner; and a first communication unit that transmits answer data indicating the input answer Learning clients to
A learning server that includes a second communication unit that transmits problem data indicating a problem to the learning client and receives answer data transmitted from the learning client;
A learning history storage unit that stores a learning history for each learner based on the answer data received by the second communication unit;
A determination means for determining whether or not an answer has been appropriately made by a learner based on the learning history stored in the learning history billion copies;
From the learning history stored in the learning history storage unit, the data that is determined that the answer is not properly made by the determination means is excluded, and the totaling means for totaling the learning history,
An output unit for outputting a totaling result by the totaling means;
Comprising
Learning support system. The determination means is configured to determine for each learner whether or not the answer has been properly made by the learner,
The totaling means excludes the learning history related to the learner determined that the answer is not properly made by the determination means from the learning history stored in the learning history storage unit, and totalizes the learning history. Configured to,
The learning support system according to claim 1. The learning history storage unit is configured to store the learning history including learning time data related to a learner's learning time;
The determination means is configured to determine whether or not the answer has been properly made by the learner based on the learning time.
The learning support system according to claim 1 or 2. The determination means acquires a learning time from when a question is displayed until an answer is input based on the learning time data, and based on the learning time, whether or not the answer has been appropriately made by the learner. Configured to determine,
The learning support system according to claim 3. The learning server includes a teaching material storage unit that stores question data and option data indicating a plurality of options including correct answers corresponding to the question data, and the second communication unit allows the learning client to It is configured to transmit the problem data and option data stored in the learning material storage unit,
The learning client receives the problem data and option data transmitted from the learning server by the first communication unit, and displays the problem indicated by the problem data received by the first communication unit by the display unit. When the input unit receives an instruction to display an option from the learner, the plurality of options indicated by the option data received by the first communication unit are displayed, and the input unit displays the plurality of options from the learner. When receiving a selection of one of the options, the second communication unit is configured to transmit answer data indicating the selected option,
The determination means acquires, as the learning time, an answer time from when the plurality of choices are displayed until one selection is accepted among the choices based on learning time data, and learning based on the answer time Configured to determine whether the answer has been properly made by the person,
The learning support system according to claim 3. The determination means acquires, as the learning time, a question time from when a question is displayed until a display instruction for an option is received based on the learning time data, and an appropriate answer is obtained by the learner based on the question time. Configured to determine whether it has been made,
The learning support system according to claim 5. When the same learner answers a plurality of questions based on the learning time data, the determination unit acquires a total learning time required for answering each question, and determines the learning time acquired. Based on the sum, it is configured to determine whether the answer has been properly made by the learner,
The learning support system according to claim 3. The learning history storage unit is configured to store the learning history including the number of learnings related to the same problem,
The determination means is configured to determine whether or not an answer has been appropriately made by the learner based on the number of learning times.
The learning support system according to claim 1. Based on the learning history stored in the learning history storage unit, the determination unit obtains a correct answer rate for each learner, and based on the obtained correct answer rate, whether the answer has been properly made by the learner. Configured to determine whether or not,
The learning support system according to claim 1. The learning history storage unit stores a learning history when an answer is made a plurality of times by the same learner for a problem group including the same problem,
The determination means, for each learner, to obtain each of the correct answer rate of the answer of the different number of times for the question group, whether the correct answer rate in the later answer exceeds the correct answer rate in the previous answer, Configured to determine whether the learner has properly answered,
The learning support system according to claim 9. The learning server includes a teaching material storage unit that stores problem data and option data indicating a plurality of options corresponding to the question data, and the second communication unit stores the teaching material storage for the learning client. Configured to send problem data and option data stored in the department,
The learning client receives the problem data and option data transmitted from the learning server by the first communication unit, the problem indicated by the problem data received by the first communication unit by the display unit, and the Answer data indicating the selected option by the second communication unit when a plurality of options indicated by the option data is displayed and one of the options is received from the learner by the input unit. Is configured to send
The learning history storage unit stores a learning history including each answer data when an answer is made a plurality of times by the same learner for the same problem,
The determination means determines, based on the learning history, whether the same learner answers the same question at different times, and the same answer at the different times. In some cases, it is configured to determine that an incorrect answer has been made by the learner,
The learning support system according to claim 1. The learning server includes a teaching material storage unit that stores problem data and option data indicating a plurality of options including specific wrong answers corresponding to the problem data, and the second communication unit allows the learning client to store the learning data. On the other hand, it is configured to transmit problem data and option data stored in the learning material storage unit,
The learning client receives the problem data and option data transmitted from the learning server by the first communication unit, the problem indicated by the problem data received by the first communication unit by the display unit, and the Answer data indicating the selected option by the second communication unit when a plurality of options indicated by the option data is displayed and one of the options is received from the learner by the input unit. Is configured to send
The learning history storage unit is configured to store the learning history including answer data transmitted by the learning client,
The determination means is configured to determine that an inappropriate answer has been made by the learner when the learning history includes answer data indicating the option of the specific incorrect answer.
The learning support system according to claim 1. Displays a problem used for learning, accepts an answer to the displayed problem from the learner, sends answer data indicating the input answer, and sends problem data indicating the problem to the learning client And a learning history totaling method of a learning support system comprising a learning server that receives answer data transmitted from the learning client,
Storing a learning history for each learner based on the answer data received by the learning server;
Determining whether an answer has been made appropriately by the learner based on the stored learning history;
Excluding data determined as not being properly answered from the stored learning history, and totaling the learning history;
A step of outputting the result of aggregation;
Having
Learning history counting method of learning support system. Displays a problem used for learning, accepts an answer to the displayed problem from the learner, sends answer data indicating the input answer, and sends problem data indicating the problem to the learning client A computer program for causing a computer including a storage unit to totalize a learning history of a learning support system including a learning server that receives answer data transmitted from the learning client,
Based on the answer data received by the learning server, storing a learning history for each learner in the storage unit;
Determining whether or not the answer has been made appropriately by the learner based on the learning history stored in the storage unit;
From the learning history stored in the storage unit, excluding data determined that the answer is not properly made, and totaling the learning history;
A step of outputting the result of aggregation;
Causing the computer to execute
Computer program.

Images