JP7077533B2 - Learning support device, learning support system, learning support method and computer program - Google Patents

Description

The present invention relates to a learning support device, a learning support system, a learning support method, and a computer program capable of providing appropriate learning materials based on analysis of learning contents.

From the academic ability test of young children to the qualification test for adults, tests are conducted to answer the same question all at once in order to evaluate the learner's academic ability and understanding in a fair and objective manner. There are many opportunities. In such a test, not only the scoring result is presented to the test organizer and the examinee, but also the analysis result based on the entire examinee such as the score distribution, the correct answer rate and the deviation value of each question, etc. are required. ..

In order to improve the ability of the entire learner and reduce the burden on the instructor, the test answers are collected via the network, and the analysis device is made to automatically perform analysis such as the above-mentioned score distribution and deviation value calculation. A system is used to return the analysis results. Further, a system has been proposed in which the learning content is presented from the analysis result of the learning content (Patent Document 1 and the like). Specifically, Patent Document 1 presents the learning content at an appropriate timing according to the past correct / incorrect answers of the extracted learner based on the forgetting curve of Ebbinghaus. Further, since it cannot be said that the evaluation based only on the score according to the number of correct answers is appropriate, the analysis processing of the scoring result based on IRT (Item Response Theory) is performed (Patent Document 2).

Even in a situation where it is difficult to assign a human instructor to each learner by performing the analysis process accurately in this way, it is possible to reduce the burden on the instructor by providing the analysis results to each learner. ..

Japanese Patent No. 5682305 Japanese Unexamined Patent Publication No. 2016-109981

The wrong answers to the same question during the test are different. For example, is it an inadvertent mistake, or is it an incorrect answer without understanding it at all? In IRT analysis, it is possible to obtain analysis results that reflect the tendency of different wrong answers in this way, but by providing such analysis results alone, the instructor can grasp each ability and learn materials or It is necessary to give individual guidance on how to approach.

Therefore, it is an object of the present disclosure to provide a learning support device, a learning support system, a learning support method, and a computer program that can individually provide appropriate learning materials based on the analysis of learning contents.

The learning support device according to one aspect of the present invention is a learning support device that collects and analyzes answers to problems by a plurality of learners and provides learning material data according to the analysis results, and collects the collected answers. The learning is based on the answers of the first storage unit that stores the learning material in association with the identification information of the learner, the second storage unit that stores a plurality of learning materials, and the learners stored in the first storage unit. An analysis unit that analyzes the learning situation of each person, an extraction unit that extracts learning materials from the second storage unit individually for each of the plurality of learners based on the analysis results by the analysis unit, and the extraction unit. A creation unit that creates learning material data that individually includes the learning material extracted by the unit for each of the plurality of learners in different modes, and a transmission unit that transmits the created learning material data to the learners. Be prepared.

In the learning support device according to one aspect of the present invention, the creating unit has a difficulty level to which the learning material extracted by the extraction unit is given in advance, or a difficulty level given by the analysis of the analysis unit in descending order. , Or sort in ascending order.

In the learning support device according to one aspect of the present invention, the creating unit is given the learning material extracted by the extraction unit in advance, or the learning material is given by the analysis of the analysis unit in descending order of importance. Sort.

In the learning support device according to one aspect of the present invention, the creating unit has a high degree of difficulty given in advance to the learning material extracted by the extraction unit, or a high degree of difficulty given by the analysis of the analysis unit. The order is given in order or in ascending order.

In the learning support device according to one aspect of the present invention, the creating unit rearranges the learning materials when the number of correct answers of the learner to whom the learning material data to be provided is provided is a predetermined number or less.

The learning support device according to one aspect of the present invention further includes a third storage unit that stores ability ranks based on the learning histories of the plurality of learners, and the creating unit further includes an analysis result by the analysis unit and the third unit. The learning material data is individually created based on the ability rank stored in the storage unit.

In the learning support device according to one aspect of the present invention, the analysis unit performs analysis by IRT, and the preparation unit creates learning data according to the analysis result by IRT of the analysis unit for each of the learners.

The learning support system according to one aspect of the present invention includes a display unit, a plurality of terminal devices that receive answers from learners to the problems displayed on the display unit, and a plurality of terminals that receive the answers from the plurality of terminal devices. It is a learning support system including a learning support device that collects and analyzes answers by the learner and provides learning material data according to the analysis result, and the learning support device identifies the collected answers to the learner. Learning of each learner based on the answers of the first storage unit that stores information in association with the information, the second storage unit that stores a plurality of learning materials, and the learners stored in the first storage unit. An analysis unit that analyzes the situation, an extraction unit that extracts learning materials from the second storage unit individually for each of the plurality of learners based on the analysis results by the analysis unit, and an extraction unit that extracts the learning material from the second storage unit. It is provided with a creation unit for creating learning material data including the learning material for each of the plurality of learners in different modes, and a transmission unit for transmitting the created learning material data to the learners. Based on the learning material data transmitted by the transmitting unit, the terminal device of No. 1 displays the learning material on the display unit in different modes individually.

In the learning support system according to one aspect of the present invention, each of the plurality of terminal devices causes the display unit to display the learning material in the order of the learning material included in the learning material data transmitted by the transmission unit. ..

The learning support method according to one aspect of the present invention is a learning support method that collects and analyzes answers to problems by a plurality of learners and provides learning material data according to the analysis results, and collects the collected answers. A second storage unit that stores a plurality of learning materials in a sequential storage unit that is associated with the learner's identification information, analyzes the learning situation of each learner based on the memorized answers of each learner, and stores a plurality of learning materials. From, learning materials are individually extracted for each of the plurality of learners based on the analysis results, and learning material data including the extracted learning materials for each of the plurality of learners in different modes is created. , Send the created learning material data to the learner.

The computer program according to one aspect of the present invention collects answers to problems by a plurality of learners in a computer provided with a storage unit, sequentially stores them in the storage unit in association with the identification information of each learner, and stores the answers. Based on the answers of each of the learners, the learning situation of each of the learners is analyzed, and from the plurality of learning materials stored in the storage unit, each of the plurality of learners is individually based on the analysis result. The learning material is extracted, the learning material data including the extracted learning material is individually included in different modes for each of the plurality of learners, and the created learning material data is transmitted to the learners. ..

In one aspect of the present invention, each learner is individually provided with different learning materials according to the result of analyzing the answers of the learner and other learners. The provided learning material is printed out or displayed as digital data. Learning materials are provided according to the individual ability of the learner.

In one aspect of the present invention, the learning materials are sorted in ascending order of difficulty, so that the learner can work in the order of ease and the learning motivation can be improved. Of course, it is also possible to arrange them in descending order of difficulty so that they can work on difficult problems first.

In one aspect of the present invention, since the learning materials are sorted in descending order of importance, it is expected that the learner can learn the materials that the learner must work on, and the learning efficiency is improved and established.

In one aspect of the present invention, the learning materials are given an order in descending order of difficulty, and the learner can grasp from which the learning material should be tackled by displaying the order or printing out. Can be done. It is expected that the learning efficiency will be improved and established because it is possible to work according to the learner's preference in the order of easy or difficult with reference to the given order.

In one aspect of the present invention, sorting is performed when the number of correct answers of the learner is equal to or less than a predetermined number. It is considered that the effect of sorting to the easy order is low for the excellent learners, but it can be expected that the learning motivation for the sorted learning materials will be improved for other learners.

In one aspect of the present invention, learning material data is created according to the ability rank based on the learning history of a plurality of learners. Data including appropriate learning materials will be provided according to the ability rank.

In one aspect of the present invention, the analysis is based on IRT, and the learning data provided to each learner is not only created by ordering or rearranging the learning materials, but also pre-stored learning. It may be prepared separately based on the analysis result of IRT with reference to the material. As a result, for example, among the problems that the learner actually tackled and were incorrect, the problems that are analyzed as ideal and really useful for the learner according to the learning situation (the learning material itself does not have to be used). ) Can be created.

According to the present disclosure, since the learning materials according to the analysis results are individually displayed in different modes, it is possible to appropriately provide the learning materials suitable for the learner, and improve the academic ability while reducing the burden on the instructor. There is expected.

It is explanatory drawing which shows the outline of the processing in the learning system of Embodiment 1. FIG. It is a block diagram which shows the structure of the learning system of Embodiment 1. FIG. It is explanatory drawing which shows the content example of the learning DB. It is a functional block diagram which shows the function of the learning support device of a learning system. It is a flowchart which shows an example of the processing procedure by the learning support apparatus in Embodiment 1. It is a flowchart which shows an example of the procedure of the extraction process of a learning material. It is explanatory drawing which shows the content example of the file created by a learning support device. It is a block diagram which shows the structure of the learning system in Embodiment 2. FIG. It is a flowchart which shows an example of the processing procedure by the learning support apparatus in Embodiment 2. It is a flowchart which shows an example of the procedure of the extraction process of the learning material in Embodiment 2. It is explanatory drawing which shows the content example of the file created by a learning support device. It is explanatory drawing which shows the content example of the file created by a learning support device. It is explanatory drawing which shows the content example of the learning DB in the modification. It is a flowchart which shows an example of the procedure of the extraction process of the learning material in a modification. It is a flowchart which shows an example of the display processing procedure of the learning material on the 2nd terminal apparatus side in the modification. It is explanatory drawing which shows the display example of the learning material in the modification. It is explanatory drawing which shows the display example of the learning material in the modification.

Hereinafter, embodiments of the present invention will be specifically described with reference to the drawings. In the following embodiment, a learning system in which the answer sheets of the academic ability test conducted regularly are collected and the learners are individually provided with appropriate learning materials based on the analysis results will be described as an example. However, the learning support system according to the present application is applied not only to the analysis of the answer sheet of the academic ability test, but also to the analysis of the test for evaluating various abilities or the system of providing information according to the collection of questionnaires and the like. It is possible.

(Embodiment 1)
FIG. 1 is an explanatory diagram showing an outline of processing in the learning system of the first embodiment. The learning system is a client-server system in which a plurality of first terminal devices 2 or second terminal devices 3 use the learning support device 1 as a server device to exchange information with the learning support device on a Web basis. The first terminal device 2 associates with the class identification information that identifies each group (school, grade, and class) in the learning system, and transfers information about the ability including the academic ability of the student who is the learner to the learning support device 1. Send.

For example, after conducting the academic ability test, the teacher who is the instructor in charge scores the completed answer sheet P of the student, and the scoring result is obtained from the first terminal device 2 in association with the learner identification information that identifies each student. It is transmitted to the learning support device 1. In this case, the first terminal device 2 may read each student's graded answer sheet P with a reading device and transmit it in association with the learner identification information. As a result, the scoring results are collected in the learning support device 1. When the learning test is carried out using digital contents instead of the predetermined form, the scoring may be automatically performed and the scoring results may be automatically collected by the learning support device 1. In this case, it is not necessary to read the answer sheet P.

The learning support device 1 collects scoring results of different groups and performs analysis processing based on IRT at the timing described later. The learning support device 1 creates a file M which is a digital document showing a scoring result and an analysis result. Further, the learning support device 1 is appropriate for each student based on the analysis result from the learning material DB of the learning database (hereinafter referred to as DB (Data Base)) 101 that stores the learning material contents corresponding to the conducted academic ability test. The learning material contents are individually extracted, the extracted learning material contents are added to the file M, and the added file M is collectively returned for each group.

In such a learning system, a learning effect cannot be expected by simply returning the extracted learning material content to the learner. This is because each learner has his or her own individuality in establishing the learning effect. Therefore, in the learning system of the first embodiment, the learning material is individually provided in an appropriate manner based on the analysis result.

FIG. 2 is a block diagram showing the configuration of the learning system 100 of the first embodiment. The learning system 100 includes a learning support device 1 and a first terminal device 2, and the learning support device 1 and the first terminal device 2 can be connected to each other via a network N.

The learning support device 1 is a server computer managed by a service provider based on the learning system 100. The learning support device 1 includes a control unit 10, a storage unit 11, a temporary storage unit 12, and a communication unit 13. Although the learning support device 1 will be described as one server computer in the first embodiment, the learning support device 1 may be configured by distributing the processing among a plurality of server computers. For example, an apparatus that performs processing based on the information processing program 11P described later and an apparatus that performs analysis processing based on the analysis program 12P may be configured by different server computers. Alternatively, one learning support device 1 is provided for a group of groups, for example, one learning support device 1 is associated with a plurality of schools included in one district, and a plurality of learning support devices 1 are provided in a plurality of districts. It may be configured.

The control unit 10 is a processor using a CPU (Central Processing Unit) or the like. The control unit 10 executes information processing based on the information processing program 11P stored in the storage unit 11 and IRT analysis processing based on the analysis program 12P. Further, the control unit 10 accepts login to the Web service of the learning system 100 from the first terminal device 2 and the second terminal device 3 based on a Web server program (not shown). The temporary storage unit 12 temporarily stores information generated by the processing of the control unit 10 using the volatile memory of the DRAM (Dynamic Random Access Memory).

The storage unit 11 uses a non-volatile memory such as a hard disk or a flash memory. As described above, the information processing program 11P, the analysis program 12P, and the Web server program are stored in the storage unit 11. The information processing program 11P executes in the control unit 10 a process of receiving scoring results from the first terminal device 2 and a second terminal device 3, a process of creating a file M according to the result of IRT analysis based on the analysis program 12P, and the like. It is a server program to make. Further, the storage unit 11 stores information referred to by the control unit 10. The learning DB 101 is stored inside the storage unit 11 or in an external storage device different from the learning support device 1. If it is possible to read and write from the control unit 10, it may be internal or external. The contents of the learning DB 101 will be described later.

The communication unit 13 is a communication device that realizes communication connection and data transmission / reception via the network N. Specifically, it is a network card or the like corresponding to network N.

The first terminal device 2 is a computer used by an instructor who supports and guides a learner, and is a desktop type or laptop type personal computer. The first terminal device 2 may be a smartphone or a tablet type terminal. The first terminal device 2 includes a control unit 20, a storage unit 21, a temporary storage unit 22, a display unit 23, an operation unit 24, and a communication unit 25.

The control unit 20 is a processor using a CPU. The control unit 20 executes control processing based on various programs including the terminal program 2P stored in the storage unit 21. The temporary storage unit 22 temporarily stores information generated by the processing of the control unit 20 using a volatile memory such as a DRAM.

The storage unit 21 uses a non-volatile memory such as a hard disk or a flash memory. The terminal program 2P is stored in the storage unit 21. The terminal program 2P is a Web browser program, and the processing specific to the learning system 100 in the first terminal device 2 which is a general-purpose computer may be executed on the Web browser. The first terminal device 2 can be connected to the reading device 29 by communication, and the control unit 20 can receive the learning test answer sheet P read by the reading device 29 and store it in the storage unit 21. Is.

The display unit 23 uses a display such as a liquid crystal display or an organic EL (Electro Luminescence) display. The display unit 23 displays an image of a Web page on the Web service of the learning system 100 provided by the learning support device 1 by processing based on the Web browser program of the control unit 20. It is also possible to display an image of the document data included in the file M provided by the learning support device 1. The display unit 23 may be a display with a built-in touch panel.

The operation unit 24 is a user interface such as a keyboard and a pointing device. The operation unit 24 notifies the control unit 20 of the operation information by the instructor. When the display unit 23 is a display with a built-in touch panel, the operation unit 24 is a built-in touch panel. The operation unit 24 may be any other device that accepts the operation input of the instructor.

The communication unit 25 includes a communication device such as a network card for wired communication. The communication unit 25 is communicatively connected to the carrier network N2 and the public network N1. The control unit 20 can send and receive information on the learning support device 1 and the Web service via the network N. The communication unit 25 may further include a wireless communication device. The wireless communication device may include a wireless communication device for mobile communication connected to the base station BS and a wireless communication device corresponding to the connection to the access point AP.

The network N includes a public communication network N1 which is a so-called Internet and a carrier network N2 which realizes wireless communication according to a predetermined mobile communication standard. The carrier network N2 includes a base station BS, and the first terminal device 2 and the second terminal device 3 enable communication connection from the base station BS to the learning device 1 via the network N. An access point AP is connected to the public communication network N1, and the first terminal device 2 and the second terminal device 3 can communicate with the learning support device 1 from the access point AP via the network N.

FIG. 3 is an explanatory diagram showing an example of the contents of the learning DB 101. The learning DB 101 includes a learner DB1011, a test result DB1012, an analysis result DB1013, a learning material DB1014, and a learning history DB1015.

The learner DB1011 stores the group identification information for identifying the group (school, grade, class) to which the student belongs in association with the learner identification information for identifying each student who is a learner.

The test result DB 1012 stores the scoring results of the tests performed by all the learners in association with each learner identification information for each test. For example, in the example of FIG. 3, the answer for each question and the information indicating the correctness (correct answer: 1, incorrect answer: 0) are stored. Further, the test result DB 1012 stores the results of IRT analysis (total score, deviation value, ranking, ability rank, problem type grade) with respect to the scoring result in association with each other.

The analysis result DB 1013 stores the analysis result based on the IRT for each test or for each group (school or class).

The learning material DB 1014 stores the document data of the learning material (learning test, similar subject, or teaching material corresponding to the learning test) in association with the information that identifies each material. Further, the learning material DB 1014 may store each document data in association with information indicating the subject, unit, type, and grade to which the content of the document corresponds. The learning database 101 may include various other tables, and is not limited to the database structure as shown in FIG.

The learning history DB 1015 stores the teaching material identification information that identifies the learning material learned by each student in association with the learner identification information. When the learning material is a digital teaching material, the teaching material identification information is stored when the learning material is actually learned. In the case of digital teaching materials, the learning date and time and the time required for learning may be associated and stored. When the learning material is a teaching material to be printed out, the teaching material identification information when the teaching material identification information of the learning material to be learned is transmitted may be stored, or the student (learner identification information) may be stored by the instructor. It is also possible to input and memorize the teaching material identification information of the learned learning material for each time.

The operation in the learning system 100 configured in this way will be described. FIG. 4 is a functional block diagram showing the functions of the learning support device 1 of the learning system 100. The control unit 10 of the learning support device 1 collects test scoring results based on the information processing program 11P stored in the storage unit 11 and stores them in the test result DB 1012 (first storage unit) of the learning DB 101. The control unit 10 functions as an analysis unit 102 based on the analysis program 12P stored in the storage unit 11, and the learner's scoring result is collected and stored in the test result DB 1012. Perform analysis of grades, deviations, ability ranks, etc. The control unit 10 functions as an extraction unit 103 based on the information processing program 11P, and extracts from the learning material DB 1014 (second storage unit) in which learning materials suitable for each learner are stored from the analysis results. Then, the control unit 10 functions as a creation unit 104 based on the information processing program 11P, sorts the extracted learning materials, assigns an order mark, and displays them individually to each learner in a different manner. To create. Then, the control unit 10 functions as a transmission unit 105 in cooperation with the communication unit 13 based on the information processing program 11P, and transmits the learning material data created by the creation unit 104 to the learner.

More details of these functions will be described with reference to the flowchart. FIG. 5 is a flowchart showing an example of the processing procedure by the learning support device 1 in the first embodiment.

The control unit 10 receives the scoring results from the plurality of first terminal devices 2 based on the information processing program 11P, and associates them with the learner identification information of the student who is the writer of the graded answer sheet P in the test result DB 1012. Store (step S1).

The control unit 10 refers to the test result DB 1012 and determines whether or not the collection degree of the scoring result satisfies a predetermined condition for each test (step S2). The predetermined condition is, for example, that, for the implementation of one learning test, the scoring results corresponding to 80% of the total number of learners to be implemented are collected. Not limited to 80%, any ratio such as 60% and 50% may be used. In addition, the condition may be 50% or more in all regions so that the regional bias does not affect the population to be analyzed. It may be a condition that a predetermined number of days have passed from the day when the score was first performed (or the day when the scoring result was first received). Further, it may be that the degree of collection is 50% or more and the grade distribution of the test takers satisfies a predetermined distribution based on the grade distribution of the past test in advance.

If it is determined in step S2 that the condition is not satisfied (S2: NO), the control unit 10 returns the process to step S1 and receives another scoring result.

When it is determined in step S2 that the condition is satisfied (S2: YES), the control unit 10 executes an analysis process based on the analysis program 12P for a part or all of the scoring results stored in the test result DB 1012. (Step S3).

Based on the analysis result executed in step S3, the control unit 10 individually analyzes the scoring result to be analyzed for the students corresponding to the corresponding learning identification information (score, deviation value, ranking, etc.). Create a document showing ability index (performance index, performance by field) (step S4). Further, the control unit 10 extracts the document data of the individual learning material for each student from the learning material DB 1014 based on the analysis result executed in step S3 (step S5), and adds the document data to the document created in step S4. Then, a preliminary report version file Mp is created (step S6).

The control unit 10 transmits the created file Mp to the corresponding student (step S7). In step S7, the control unit 10 may transmit the file Mp to the first terminal device 2 corresponding to each group so that the file Mp is collectively transmitted to the students belonging to the same group. good.

Next, the control unit 10 continues to receive the scoring results transmitted from the plurality of first terminal devices 2 and store them in the test result DB 1012 (step S8). At this time, the control unit 10 also stores that the IRT analysis has not been performed in association with the scoring result to be stored, as in step S2.

The control unit 10 refers to the test result DB 1012 and determines whether or not the collection degree of the scoring result is 100% for each test (step S9). If it is determined in step S9 that it is not 100% (S9: NO), the control unit 10 returns the process to step S8 and continues receiving and storing other scoring results.

If it is determined to be 100% in step S9 (S9: YES), the control unit 10 executes an analysis process based on the analysis program 12P for all the scoring results for one test (step S10).

Based on the analysis result executed in step S10, the control unit 10 recreates a document showing the analysis result (score, deviation value, ranking, ability index, performance by field) individually for all students (step S11). ). The control unit 10 extracts the document data of the learning material individually for each student from the learning material DB 1014 (step S12). The control unit 10 creates a final version file Mf in which the extracted document data is added to the document created in step S10 (step S13).

Then, the control unit 10 transmits the created file Mf to each student to the first terminal device 2 for each group (step S14), and ends the process.

In step S11, the learning material may not be extracted and added to the final version file Mf to the students who have already sent the preliminary version file Mp in step S7. This is because there is a high possibility that learning materials will be duplicated. Alternatively, in order to avoid this duplication, in the first terminal device 2 that has received the breaking news file Mp transmitted in step S7 to the same student and the final version file Mf transmitted in step S14. The instructor may perform operations such as printing and handing over only one of them to the student.

FIG. 6 is a flowchart showing an example of the procedure for extracting the learning material. The processing procedure shown in FIG. 6 corresponds to the details of the procedure in step S5 in the flowchart of FIG.

The control unit 10 of the learning support device 1 first selects the learner identification information of the learners extracted as the analysis target in step S3 in the flowchart of FIG. 5 one by one (step S501). The scoring result of the test and the result of the IRT analysis, which are the analysis targets of the selected learner identification information, are extracted from the test result DB 1012 (step S502). Based on the extracted scoring results and the results of the IRT analysis, the control unit 10 considers that the questions that should be reviewed in particular, that is, the questions that were answered incorrectly, the questions that were correct but presumed to have been answered by chance, and the questions that were answered incorrectly. Recommended review materials including the same type of questions are extracted from the learning material DB 1014 (step S503).

In step S503, the control unit 10 extracts, for example, a learning material containing the same question or similar problem as the wrong answer question during the test to be analyzed. Further, the control unit 10 extracts the learning material whose test identification information of the corresponding test stored in association with the teaching material identification information in the learning material DB 1014 matches the test identification information of the test to be analyzed. Further, the control unit 10 extracts the learning material to which the type of the same type as the wrong answer is associated. Further, at this time, the control unit 10 not only makes an incorrect answer in the scoring result and the result of the IRT analysis associated with the selected learner identification information, but also causes a problem that the correct answer rate of other learners is low. The learning material to be included may be extracted. Further, based on not only the scoring result and the IRT analysis result of the test to be analyzed but also the past learning history stored in the learning history DB 1015, the learning material including the problem that tends to be erroneously answered is extracted. You may do so.

Then, weighting may be given to a learning material including the same question or a similar problem as the wrong answer question, a learning material to which the test identification information to be analyzed is associated, a past wrong answer question, and the like. Further, the control unit 10 may extract the learning material including the problem similar to the wrong answer by using the similarity degree that can be calculated by the statistical index. In order to be able to determine which is the most effective problem for review based on the items output from the IRT analysis results, it is recommended to calculate the index value in consideration of the above extraction method. good. Further, the learning material selected by a human corresponding to the scoring result may be stored in a plurality of patterns in association with the scoring result, and may be learned and selected by the learning model.

From the learning material extracted in step S503, the control unit 10 assigns a priority to a problem that is considered to be particularly reviewed (step S504), and sorts the problems according to the priority (step S505). In step S504, the control unit 10 may assign a priority from the index value derived from the above-mentioned weighting or the like. The control unit 10 selects a predetermined number of learning materials from the sorting results (step S506), changes the order of the selected learning materials so that they are arranged in order of difficulty (step S507), and the selected learning materials are arranged in order from the easiest problem. The data of the material and the answer explanation of the selected learning material are created as one document data arranged according to the changed order (step S508). In step S507, not only the easy problems may be arranged, but also the calculation problems, or the problems of asking knowledge by kanji or filling in the blanks may be arranged in the order of ease of tackling. Then, the order may be given in descending order of difficulty, and it is possible to work on it according to the learner's preference or characteristic, and it is expected that the learning efficiency is improved and the content is fixed. Further, in the change of the order in step S507, the learner identification information of the learner who has a better grade in mathematics is arranged based on the IRT analysis result of each learner, such as putting the learning material of mathematics first. You may change it.

Next, the control unit 10 determines whether or not all the learners extracted as analysis targets have been selected (step S509). If it is determined that not all have been selected (S509: NO), the control unit 10 returns the process to step S501 and selects the next learner identification information.

If it is determined in step S509 that all have been selected (S509: YES), the control unit 10 ends the learning material extraction process and returns the process to step S6 in the flowchart of FIG.

FIG. 7 is an explanatory diagram showing an example of the contents of the file M created by the learning support device 1. The example of FIG. 7 shows an example of the contents of the preliminary version file Mp transmitted in step S7 in the flowchart of FIG. The file Mp contains a document of a report card (total score, deviation value, ranking, ability index, problem type grade) based on the analysis result. In addition, it is shown that the review materials are included in the gradebook, and as shown in FIG. 7, individual learning materials extracted according to the grades are added for each subject.

In this way, learning materials are added individually according to grades, and files containing learning materials sorted in order of importance (priority), difficulty level, etc. are distributed to each student. This makes it possible to provide learning materials that are printed out in a certain manner that makes it easier for learners to work while reducing the burden on the instructor, and gives confidence without the instructor's individual direct instruction. It can be expected to improve learning motivation.

The review material created for each learner is not limited to the combination of the document data stored in the learning material DB 1014, but is extracted from each question or the like included in the document data, or is used. It may be learning data including new problems created with reference to the question. By performing IRT analysis, for example, it becomes possible to create learning data including problems that are really useful for the learner according to the learning situation among the problems that the learner actually worked on and were incorrect. In this way, it becomes possible to create and provide learning data that combines ideal problems for each learner, and it is expected that the learning motivation will be further improved or the content will be firmly established.

(Embodiment 2)
In the second embodiment, the learner performs learning and an academic ability test with digital contents on a tablet terminal. FIG. 8 is a block diagram showing the configuration of the learning system 100 according to the second embodiment. The learning system 100 of the second embodiment includes a learning support device 1, a first terminal device 2, and a second terminal device 3, and the first terminal device 2 and the second terminal device 3 each support learning via a network N. Communication connection with the device 1 is possible. The configuration of the learning system 100 in the second embodiment is for the point that the second terminal device 3 for students exists, the detailed processing procedure due to the existence of the second terminal device 3, and the second terminal device 3. The mode in the transmitted file Mp is different. The points other than these have the same configuration as the system in the first embodiment. Therefore, the same reference numerals are given to the common configurations, and detailed description thereof will be omitted.

The second terminal device 3 includes a control unit 30, a storage unit 31, a temporary storage unit 32, a display unit 33, an operation unit 34, and a communication unit 35. Although the second terminal device 3 is a tablet type terminal, since it has the same hardware configuration as the first terminal device 2, it is designated by a corresponding reference numeral and detailed description thereof will be omitted. However, the display unit 33 of the second terminal device 3 is a touch panel built-in display, and the operation unit 34 is a touch panel with a built-in display integrated with the display unit 33 and a group of several buttons provided on the housing. .. The communication unit 35 is a wireless communication device, and is connected to the public network N1 via the access point AP or to the carrier network N2 via the base station BS. The third terminal device 3 can be communicated and connected to the learning support device 1 by the communication unit 35.

When the academic ability test is carried out in the second embodiment, each student who is a learner logs in from the second terminal device 3 to the Web service of the learning system 100 using his / her own learner identification information as login information, and the second terminal device. Take the academic ability test using the display unit 33 and the operation unit 34 of 3. With respect to these answers, the instructor grades the answers of the students in charge by the first terminal device 2 using the login information of the instructor, collects the scoring results, and sends them to the learning support device 1. The content of the learning DB 101 read / written by the learning support device 1 is the same as that of the first embodiment. Then, the learning support device 1 performs the following processing.

FIG. 9 is a flowchart showing an example of the processing procedure by the learning support device 1 in the second embodiment. Among the processing procedures shown in the flowchart of FIG. 9, the procedures common to the processing procedure shown in the flowchart of FIG. 5 of the first embodiment are assigned the same step numbers and detailed description thereof will be omitted.

When the control unit 10 extracts the document data of the individual learning material from the learning material DB 1014 for each student based on the analysis result in step S5 (S5), the preliminary report file Mp added to the document created in step S5. (S6), and screen information on the screen for viewing the file Mp is created (step S21). In the second embodiment, the control unit 10 creates a screen corresponding to the login information of each student so that the file Mp can be viewed from the second terminal device 3 used by the student. It is preferable to create screen information in association with the login information of the corresponding instructor so that the screen displaying the learner's file Mp can be viewed from the first terminal device 2 used by the instructor.

Then, even after the final version of the file Mf is created (S13), the control unit 10 creates screen information of the screen for viewing the file Mf (step S22), and associates it with the screen created in step S21 (step). S23), the process is terminated. In this case as well, the control unit 10 makes it possible for the created screen to be viewed on the screen from the second terminal device 3 used by the learner, and the first terminal device 2 used by the instructor. It is advisable to create screen information so that the learner's file Mp can be viewed from.

FIG. 10 is a flowchart showing an example of the procedure for extracting the learning material in the second embodiment. The processing procedure shown in FIG. 10 corresponds to the details of the procedure in step S5 in the flowchart of FIG. Of the processing procedures shown in the flowchart of FIG. 10, the procedures common to the processing procedures shown in the flowchart of FIG. 6 of the first embodiment are assigned the same step numbers and detailed description thereof will be omitted.

In the second embodiment, when the control unit 10 of the learning support device 1 extracts the scoring result and the analysis result (S502), the ability rank included in the analysis result is specified (step S511). In step S503, the control unit 10 recommends a review including a question that should be reviewed in particular, that is, a question that has been answered incorrectly, a question that is correct but is presumed to have been answered correctly by chance, and a question of the same type as the question that was answered incorrectly. The teaching material is extracted from the learning material DB 1014 (S503). At this time, in the second embodiment, if the ability rank is higher than the predetermined value (for example, rank A), the control unit 10 may have a high score and there may be no problem to be reviewed. You may try to extract more difficult challenge questions within the scope of the test unit.

Then, after selecting the upper predetermined number of learning materials in step S506 (S506), the control unit 10 determines whether or not the ability rank corresponding to the selected learner identification information is high (step S512). .. As described above, the high rank is an ability rank that is preset to be a high rank, such as rank A.

If it is determined in step S512 that the rank is not high (S512: NO), the control unit 10 advances the process to step S507 to change the order of the learning materials (S507), and then proceeds to the process to step S508. On the other hand, when it is determined that the rank is high (S512: YES), the control unit 10 advances the process to step S508 without changing the order of the learning materials.

The extraction process of the learning material in the second embodiment will be described with reference to specific examples. 11 and 12 are explanatory views showing an example of the contents of the file M created by the learning support device 1. In FIGS. 11 and 12, the screen 331 is switched to a screen showing other learning materials shown superimposed by scrolling the screen 331 or selecting a link by the operation unit 34. FIG. 11 shows an example of a screen 331 in which a file M when it is determined that the ability rank is not high is displayed on the display unit 33 of the second terminal device 3. FIG. 12 shows an example of the screen 331 in which the file M when it is determined to have a high rank is displayed on the display unit 33. 11 and 12 show an example in which the second terminal device 3 receives and displays the final version of the file Mf.

In FIG. 11, when compared with the file Mp shown in FIG. 7 in the first embodiment, the order of the learning materials included in the file M is different even if the recommended review teaching materials are the same. In the file Mp in FIG. 7, the recommended review teaching materials for the national language are in the order of "K002", "K010", and "K012", but the recommended review for the national language included in the file Mf shown in FIG. 11 The teaching materials are in the order of "K002", "K012", and "K010". Further, in the file Mp in FIG. 7, the recommended review teaching materials for arithmetic are in the order of "M001", "M021", and "M005", but the recommended for the national language included in the file Mf shown in FIG. The review materials are in the order of "M001", "M005", and "M021".

FIG. 12 shows a file Mf for learners, which is different from the example of FIG. Since it is judged to be high level, the order is the priority order of the extracted problems. Since there were no incorrect answers regarding math, learning materials including challenge-level questions were extracted and added. If there are no problems to be reviewed, the learning material may not be extracted.

In this way, learning materials sorted individually from the results of the IRT analysis in an order appropriate for the learner are provided. Learning materials are provided according to the degree of individual learning retention, such as changing the order to make it easier to work on according to the level, or asking questions at the challenge level. Therefore, it is expected that the learning material displayed in an easy-to-work manner according to each ability will improve the learner's motivation to learn while reducing the burden on the instructor who has to deal with learners of different levels. To learn.

(Modification example)
In the modified example, in the learning system 100 of the second embodiment, the learning material is provided in an appropriate display mode in consideration of the time required for each question in the academic ability test. In the modified example, each student who is a learner logs in to the Web service of the learning system 100 from the second terminal device 3 using his / her own learner identification information as login information, and displays the display unit 33 and the operation unit 34 of the second terminal device 3. Take the academic ability test using. Then, in the learning support device 1 that provides the academic ability test and other teaching materials to the second terminal device 3, the required time is measured for each question. Furthermore, in the modified example, the ability of each learner is comprehensively evaluated by IRT analysis of not only one academic ability test but also the scoring results of multiple academic ability tests and the results of efforts on teaching materials on the learning system 100. Then, the evaluation is stored in the learner DB1011 according to the problem type. In the modified example, the learning support device 1 provides the learning material in an appropriate manner based on these time information and the problem type.

FIG. 13 is an explanatory diagram showing an example of the contents of the learning DB 101 in the modified example. From the contents of the learning DB 101 shown in FIG. 13, the analysis result DB 1013, the learning material DB 1014, and the learning history 1015 are omitted, and only the learner DB 1011 and the test result DB 1012 are shown. As shown in FIG. 13, in the learner DB1011, not only the group identification information indicating the group to which the learner belongs but also the learner identification information is used as a key for learning in association with the learner identification information that identifies each student who is a learner. The test results that can be extracted from the DB 101 and the ability estimated based on the learning history are stored as numerical values. As for the numerical value of ability, an evaluation index value (for example, 5 grades of 1 (low) to 5 (high)) is derived for each subject and each problem type (field). Further, in the example shown in FIG. 13, evaluation values for how to use the time according to the required time are also derived for each problem type.

Further, in the test result DB 1012 in the modified example, the required time for each problem is also measured and stored. For example, in response to Question 2 of the national language (K) academic ability test conducted in May, the learner identification information of "0010020203031" has the required time "2" (the unit is, for example, "minutes"), and the learner identification of "0010020203032". The required time "5" is stored in the information. In other words, it can be seen that the learner corresponding to the former learner identification information answers Question 2 earlier.

The learning support device 1 is used for each question for each test from the statistics of the learner's time allocation for each level of the test result based on the information of the required time for each learner stored in the test result DB 1012. It's a good idea to find the ideal time allocation. In addition, this time allocation should be obtained in consideration of the time allocation intended by the questioner. The obtained time allocation is stored in the storage unit 11 or the analysis result 1013 of the learning DB 101 for each test.

The provision of review materials in consideration of time allocation based on this information will be explained with reference to the flowchart. FIG. 14 is a flowchart showing an example of the procedure for extracting the learning material in the modified example. The processing procedure shown in FIG. 14 corresponds to the details of the procedure in step S5 in the flowchart of FIG. Of the processing procedures shown in the flowchart of FIG. 14, the procedures common to the processing procedure shown in the flowchart of FIG. 6 of the first embodiment or FIG. 10 of the second embodiment are designated with the same step numbers for details. Explanation is omitted.

In the modified example, when the control unit 10 determines in step S512 that the rank is not high (S512: NO), the selected learning material is further divided into easy subjects and problem types according to individual abilities. And marks are given in order from the easiest learning material in ascending order of difficulty according to the problem type (step S521). The mark is added, for example, by associating the learning material with a numerical value indicating the order and storing it. For example, when the document data is in pdf format, these orders are stored in a hidden table. In the case of HTML format, it is preferable to store the order in the metadata. The marks in step S521 may be added in descending order of difficulty.

In step S521, for example, the control unit 10 is good at the selected learner identification information in order from the one with the highest ability (good subject) for each subject associated with the learner DB1011, and in each subject. Marks are given to execute in order from the most difficult problem type. And it is advisable to add a mark indicating the importance to learning materials that include problems that should be reviewed intensively in order to overcome weaknesses. The subjects may be fixed in a predetermined order (for example, national language, math, science, society, etc.).

Then, the control unit 10 assigns time information indicating the time allocation derived for each of the selected problems to each problem (step S522). Specifically, in step S522, the control unit 10 may store the time information indicating the time allocation in association with the identification information of the problem included in the learning material in association with the document data. For example, when the document data is in pdf format, these time information may be stored in a hidden table, and when the document data is in HTML format, the time information may be stored in the metadata.

The mark (order) and the time information may be included in the data so that they can be referred to later when the document data of the learning material is created in step S508 based on the document data.

FIG. 15 is a flowchart showing an example of the display processing procedure of the learning material on the second terminal device 3 side in the modified example. The second terminal device 3 receives the file M (file Mp or file Mf) transmitted from the learning support device 1 for the learner identified by the learner identification information corresponding to the login information (step S301).

The control unit 30 first displays the document learning material of the report card (total score, deviation value, ranking, ability index, problem type grade) included in the received file M on the display unit 33 (step S302). At this time, a link to the review teaching material is displayed on the display unit 33 (see FIG. 16). The control unit 30 should absolutely learn that it is the first learning material to be learned based on the information of the marks (order, importance) given to each learning material included in the received file M. A guide including a message such as being a learning material is displayed (step S303).

The control unit 30 selects a learning material from the file M based on the selection of the link in the report card (step S304). The order selected in step S304 may be different from the order indicated by the marks given to each learning material.

The control unit 30 displays the screen of the selected learning material (step S305). At this time, when the mark includes the importance, and the importance is higher than the predetermined value, a message or the like indicating that the problem has a high importance may be displayed together.

Next, the control unit 30 starts measuring the required time for the displayed learning material (step S306), and determines whether or not an answer has been given for each learning material (step S307). In step S307, when a plurality of questions are included in the displayed screen, it is preferable to provide a start button so that the learner can grasp which question the learner has started to work on.

When it is determined that the answer has been given (S307: YES), the control unit 30 determines whether or not it is before a predetermined time within the time allocation indicated by the time information given to each learning material (step S308). ). The predetermined time is, for example, half of the time allocation.

If it is determined in step S308 that it is not before a predetermined time (S308: NO), the control unit 30 ends the time measurement for the selected learning material (step S309), and the learning material included in the file M is It is determined whether or not all are completed (step S310).

When it is determined in step S310 that the learning material has not been completed (S310: NO), the control unit 30 returns the process to step S304 and selects another learning material.

When it is determined in step S307 that no answer has been given (S307: NO), the control unit 30 determines whether or not the time allocation indicated by the time information given to each learning material has elapsed (step S311). ). If it is determined in step S311 that the time has not passed (S311: NO), the control unit 30 returns the process to step S307 and waits for the acceptance of the answer based on the time allocation.

When it is determined in step S311 that the time has elapsed (S311: YES), the control unit 30 notifies a message indicating that the time has elapsed (step S312), and returns the process to step S307. The message notified in step S312 indicates the time of time allocation, for example, text information (or voice) such as "It is good to answer within 5 minutes. 7 minutes is okay, but 8 minutes or more takes too much time". ) Should be notified. The notification may simply be a sound effect of a different sound type depending on the elapsed time.

When it is determined in step S308 that it is before a predetermined time (S308: YES), the control unit 30 notifies a message indicating that the answer timing is too early for the time allocation (step S313), and steps the process. Proceed to S309. The message notified in step S313 is a learning material with an ideal time allocation, such as encouraging learners who always give wrong answers at an early timing, such as "Let's review! Is it correct?" It should be a message that encourages you to digest.

When it is determined in step S310 that all the learning materials have been completed (S310: YES), the control unit 10 ends the display of the learning materials.

16 and 17 are explanatory views showing a display example of the learning material in the modified example. FIG. 16 shows an example of a screen 331 in which the file Mf is displayed on the display unit 33 of the second terminal device 3. In FIGS. 16 and 17, the screen 331 is switched to a screen showing other learning materials shown superimposed by scrolling the screen 331 or selecting a link by the operation unit 34. As shown in FIG. 16, in the modified example, the order of the learning materials is not changed in the document data, and corresponds to the selected order. However, the link button to each learning material in the gradebook is emphasized with a message indicating that it is the learning material to be learned first. An effect such as blinking may be applied.

Further, in the modified example, when the selected learning material is displayed, a message indicating that the problem is of high importance is displayed as shown in FIG. This allows the learner to work on the review, recognizing that it is an important issue. Further, FIG. 17 shows a screen 332 displaying the selected learning material. On the screen 332, among the calculation problems to be reviewed from the learner's history and test results, the wrong answer or similar problem, or the easy problem that should be tackled first is highlighted by a thick frame. There is. In this way, not only the order of the learning materials (question pages) displayed on one screen, but also the questions, small questions, etc. included in each may be individually displayed in an appropriate manner.

In the modified example, the learning material is provided in an appropriate mode by comprehensive analysis based on the required time and the comprehensive evaluation, but the mode may be used individually based on other individual factors. This makes it possible to provide learning material displayed in a certain manner that makes it easier for the learner to work while reducing the burden on the instructor, and according to the individual ability without the instructor's individual direct instruction. It can be expected to improve academic ability.

The disclosed embodiments should be considered exemplary and not restrictive in all respects. The scope of the present invention is shown by the scope of claims rather than the above description, and is intended to include all modifications within the meaning and scope equivalent to the scope of claims.

1 Learning support device 10 Control unit 11 Storage unit 11P Information processing program 12P Analysis program 101 Learning DB
1011 Learner DB
1012 test result DB
1013 Analysis result 1014 Learning material DB
1015 Learning history DB
2 1st terminal device 3 2nd terminal device 4 3rd terminal device 20, 30, 40 Control unit 21, 31, 41 Storage unit 23, 33, 43 Display unit 29 Reading device

Claims (11)

It is a learning support device that collects and analyzes answers to problems by multiple learners and provides learning material data according to the analysis results.
The first storage unit that stores the collected answers in association with the learner's identification information,
A second storage unit that stores multiple learning materials,
A third storage unit that stores ability ranks based on the learning histories of the plurality of learners, and
An analysis unit that analyzes the learning situation of each learner based on the answers of each learner stored in the first storage unit, and an analysis unit.
An extraction unit that extracts learning materials from the second storage unit individually for each of the plurality of learners based on the analysis results by the analysis unit.
A creation unit that creates learning material data that individually includes the learning material extracted by the extraction unit for each of the plurality of learners in different modes.
It is equipped with a transmitter that sends the created learning material data to the learner.
The extraction unit extracts a plurality of learning materials to be reviewed for the learner.
The creating unit sorts the extracted learning materials according to the learner's ability rank, and assigns a mark to be highlighted according to the learner's learning history.
A learning support device characterized by this. The claim is characterized in that the creating unit sorts the learning materials extracted by the extraction unit in the order of the difficulty given in advance, or the degree of difficulty given by the analysis of the analysis unit, in descending order. Item 1. The learning support device according to item 1. The first aspect of the present invention is characterized in that the creating unit sorts the learning materials extracted by the extraction unit in descending order of importance given in advance or the importance given by the analysis of the analysis unit. Learning support device. The creating unit is characterized in that the learning materials extracted by the extraction unit are given an order of difficulty given in advance, or in descending order of difficulty given by the analysis of the analysis unit. The learning support device according to claim 1. 2. Learning support device. The learning according to claim 1, wherein the creating unit individually creates learning material data based on the analysis result by the analysis unit and the ability rank stored in the third storage unit. Support device. The analysis unit analyzes by IRT (Item Response Theory).
The learning support device according to claim 1, wherein the creating unit creates learning data according to the analysis result of the IRT of the analysis unit for each of the learners. A plurality of terminal devices having a display unit and receiving answers from learners to the problems displayed on the display unit and answers by a plurality of learners received by the plurality of terminal devices are collected and analyzed. It is a learning support system including a learning support device that provides learning material data according to the analysis result.
The learning support device is
The first storage unit that stores the collected answers in association with the learner's identification information,
A second storage unit that stores multiple learning materials,
A third storage unit that stores ability ranks based on the learning histories of the plurality of learners, and
An analysis unit that analyzes the learning situation of each learner based on the answers of each learner stored in the first storage unit, and an analysis unit.
An extraction unit that extracts learning materials from the second storage unit individually for each of the plurality of learners based on the analysis results by the analysis unit.
A creation unit that creates learning material data that individually includes the learning material extracted by the extraction unit for each of the plurality of learners in different modes.
It is equipped with a transmitter that sends the created learning material data to the learner.
The extraction unit extracts a plurality of learning materials to be reviewed for the learner.
The creating unit sorts the extracted learning materials according to the learner's ability rank, and assigns a mark to be highlighted according to the learner's learning history.
The plurality of terminal devices are
Based on the learning material data transmitted by the transmission unit, the learning materials are individually displayed on the display unit in an order in which they are rearranged in different manners.
A learning support system characterized in that a message regarding an execution order is displayed together with the learning material based on the mark given to the learning material. The plurality of terminal devices are each
The learning support system according to claim 8, wherein the learning material is displayed on the display unit according to the order of the learning material included in the learning material data transmitted by the transmission unit. It is a learning support method that collects and analyzes the answers to problems by multiple learners and provides learning material data according to the analysis results.
The collected answers are associated with the learner's identification information and stored in the sequential storage unit.
Based on the memorized answers of each learner, the learning situation of each of the learners is analyzed.
From the second storage unit that stores a plurality of learning materials, a plurality of learning materials to be reviewed are individually extracted for each of the plurality of learners based on the analysis result.
From the third storage unit that stores the ability ranks based on the learning histories of the plurality of learners, the ability ranks of each of the plurality of learners are specified.
Based on the extracted learning material, the order of learning is rearranged in the extracted learning material according to the ability rank of the learner individually for each of the plurality of learners, and according to the learning history of the learner. Create learning material data with the mark highlighted in
A learning support method characterized by sending the created learning material data to learners. For computers equipped with a storage unit
Answers to problems by a plurality of learners are collected, associated with the identification information of each learner, and sequentially stored in the storage unit.
Based on the memorized answers of each learner, the learning situation of each of the learners is analyzed.
From the plurality of learning materials stored in the storage unit, a plurality of learning materials to be reviewed are individually extracted for each of the plurality of learners based on the analysis result.
From the third storage unit that stores the ability ranks based on the learning histories of the plurality of learners, the ability ranks of each of the plurality of learners are specified.
Based on the extracted learning material, the order of learning is rearranged in the extracted learning material according to the ability rank of the learner individually for each of the plurality of learners, and according to the learning history of the learner. Create learning material data with the mark highlighted in
A computer program characterized by executing a process of transmitting the created learning material data to a learner.

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