JP2018194647A - Learning support device, learning support system, method for supporting learning, and computer program - Google Patents

Abstract

To provide a learning support device, a learning support system, a method for supporting learning, and a computer program that allow individual provision of a proper learning material on the basis of the analysis of the contents of learning.SOLUTION: The learning support device, which collects answers of more than one learner to a question, analyzes the answers, and provides learning material data according to the results of analysis, includes: a first storage unit for storing the collected answers in relation to the identification information of the learners; a second storage for storing a plurality of learning materials; an analysis unit for analyzing the respective learning situations of the learners based on the respective answers of the learners stored in the first storage unit; an extraction unit for extracting the learning materials individually for each learner from the second storage unit on the basis of the result of analysis obtained by the analysis unit; a creation unit for creating learning material data that include the learning material extracted by the extraction unit differently on a learner-by-learner basis; and a sending unit for sending the created learning material data to learners.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a learning support device, a learning support system, a learning support method, and a computer program that can provide appropriate learning materials based on analysis of learning content.

  Tests to answer the same questions all at once to evaluate the academic ability and understanding level of learners fairly and objectively at all ages, from the ability tests for young children to qualification tests for adults. There are many opportunities. In such a test, not only the results of the scoring are presented to the test organizer and the test taker, but also an analysis result based on the whole test taker such as the score distribution, the correct answer rate of each question and the deviation value is required. .

  In order to improve the ability of the entire learner and reduce the burden on the instructor, test answers are collected via the network, and the analyzer automatically performs analysis such as the above-mentioned score distribution and deviation value calculation. A system that returns analysis results is used. In addition, a system that presents learning content from an analysis result of learning content has been proposed (Patent Document 1, etc.). Specifically, Patent Document 1 presents learning content at an appropriate timing according to the extracted correct / incorrect answer of the learner based on the forgetting curve of the Ebbing House. Moreover, since it cannot be said that evaluation based only on the level of the score according to the number of correct answers is appropriate, an analysis process of scoring results based on IRT (Item Response Theory) is performed (Patent Document 2).

  By accurately performing the analysis process in this way, even if it is difficult to apply a human instructor to each learner, it is possible to reduce the burden on the instructor by providing analysis results to each learner. .

Japanese Patent No. 5682305 JP 2006-109981 A

  There are different ways of answering the same question during the test. For example, whether it is an inadvertent mistake or an incorrect answer without understanding it. In the IRT analysis, it is possible to obtain an analysis result reflecting the tendency of different wrong answers in this way. However, only by providing such an analysis result, the instructor knows each ability and learns or It is necessary to teach how to work individually.

  Therefore, an object of the present disclosure is 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 analysis of learning contents.

  A learning support apparatus according to an aspect of the present invention is a learning support apparatus that collects and analyzes answers to a problem by a plurality of learners and provides learning material data according to the analysis result. The learning is based on each answer stored in the first storage unit stored in the first storage unit, the second storage unit storing a plurality of learning materials, and the learner stored in the first storage unit. An analysis unit that analyzes the learning status of each learner, an extraction unit that extracts learning material from the second storage unit individually for each of the plurality of learners based on an analysis result by the analysis unit, and the extraction A creation unit that creates learning material data that includes the learning material extracted by the unit in a different manner for each of the plurality of learners, and a transmission unit that transmits the created learning material data to the learner. Prepare.

  In the learning support device according to an aspect of the present invention, the creation unit includes the learning material extracted by the extraction unit in advance, or in the descending order of difficulty assigned by the analysis of the analysis unit. Or sort in ascending order.

  In the learning support device according to an aspect of the present invention, the creation unit includes the learning material extracted by the extraction unit in advance, or in descending order of importance given by the analysis of the analysis unit. Rearrange.

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

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

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

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

  A learning support system according to an aspect of the present invention includes a display unit, a plurality of terminal devices that receive answers from learners to a problem displayed on the display unit, and a plurality of terminals that are received by the plurality of terminal devices. A learning support system including a learning support device that collects and analyzes answers from learners of the subject and provides learning material data according to the analysis results, wherein the learning support device identifies the collected answers A first storage unit stored in association with information, a second storage unit storing a plurality of learning materials, and each learner's learning based on each learner's answer 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 an analysis result by the analysis unit, and an extraction unit that extracts the learning material Multiple learning materials Each of the plurality of terminal devices includes a creation unit that creates learning material data that is individually included in a different manner for each, and a transmission unit that transmits the created learning material data to a learner. Based on the transmitted learning material data, the learning material is displayed on the display unit in a different manner.

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

  A learning support method according to an aspect of the present invention is a learning support method that collects and analyzes answers to a problem by a plurality of learners and provides learning material data according to the analysis result. A second storage unit that sequentially stores in the storage unit in association with the identification information of the learner, analyzes the learning status of each learner based on the stored answer of each learner, and stores a plurality of learning materials Then, based on the analysis result, the learning material is individually extracted for each of the plurality of learners, and learning material data including the extracted learning materials individually for the plurality of learners in a different manner is created. The created learning material data is transmitted to the learner.

  A computer program according to an aspect of the present invention collects answers to a problem by a plurality of learners in a computer including a storage unit, and sequentially stores them in the storage unit in association with identification information of each learner. The learning status of each of the learners is analyzed based on the answer of each of the learners, and each of the plurality of learners is individually determined based on the analysis result from the plurality of learning materials stored in the storage unit. A learning material is extracted, learning material data including the extracted learning material in a different manner is individually created for each of the plurality of learners, and processing for transmitting the created learning material data to the learner is executed. .

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

  In one aspect of the present invention, learning materials are sorted in ascending order of difficulty, so that they can be tackled in an order that is easy for the learner, and learning motivation can be improved. Of course, they may be arranged in the order of difficulty so that difficult problems can be addressed.

  In one aspect of the present invention, learning materials are sorted in descending order of importance, so that it is expected that learners can learn materials to be worked on and improve and improve learning efficiency.

  In one aspect of the present invention, the learning material is given an order in descending order of difficulty, and the learner grasps from which learning material should be tackled by displaying the order or printing it out. Can do. With reference to the given order, it is expected that learning efficiency will be improved and settled because it is possible to tackle according to the preference of the learner in easy order or difficult order.

  In one aspect of the present invention, the rearrangement is performed when the number of correct answers of the learner is a predetermined number or less. Although it is considered that the effect of rearranging in an easy order is low for excellent students, it can be expected that other learners will be motivated to learn the rearranged learning materials.

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

  In one aspect of the present invention, the analysis is performed based on the IRT, and the learning data provided to each learner is not only created by ordering or rearranging learning materials, but also stored in advance. It may be created separately based on the IRT analysis result with reference to the material. As a result, for example, among the problems that were actually tackled by the learner, the problem that was analyzed as ideal, which is really useful to the learner depending on the learning situation (the learning material itself does not have to be used) ) Including learning data can be created.

  According to the present disclosure, learning materials corresponding to analysis results are displayed in different forms, so that appropriate learning materials can be provided appropriately for the learner, and academic ability is improved while reducing the burden on the instructor. There is expected.

FIG. 3 is an explanatory diagram illustrating an outline of processing in the learning system according to the first embodiment. 1 is a block diagram illustrating a configuration of a learning system according to Embodiment 1. FIG. It is explanatory drawing which shows the example of the content of learning DB. It is a functional block diagram which shows the function of the learning assistance apparatus of a learning system. 4 is a flowchart illustrating an example of a processing procedure performed by the learning support device according to the first embodiment. 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 example of the content of the file produced by the learning assistance apparatus. FIG. 10 is a block diagram illustrating a configuration of a learning system in a second embodiment. 10 is a flowchart illustrating an example of a processing procedure performed by the learning support apparatus according to the second embodiment. 10 is a flowchart illustrating an example of a learning material extraction process procedure according to the second embodiment. It is explanatory drawing which shows the example of the content of the file produced by the learning assistance apparatus. It is explanatory drawing which shows the example of the content of the file produced by the learning assistance apparatus. It is explanatory drawing which shows the example of the content of learning DB in a 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 by the 2nd terminal device side in a modification. It is explanatory drawing which shows the example of a display of the learning material in a modification. It is explanatory drawing which shows the example of a display of the learning material in a modification.

  Hereinafter, embodiments of the present invention will be specifically described with reference to the drawings. In the following embodiments, a learning system that collects answer sheets for academic achievement tests that are periodically performed and provides appropriate learning materials to learners individually 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 achievement test, but also to the system for providing the information according to the analysis of the test for evaluating various abilities or the collection of the questionnaire or 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 exchange information with a learning support device on a Web basis using the learning support device 1 as a server device. The first terminal device 2 associates with the class identification information for identifying each group (school, grade, and class) in the learning system, and sends information about the ability including the student's academic ability to the learning support device 1. Send.

  For example, after the achievement test, the teacher who is in charge of the written answer sheet P of the student performs the scoring, and the scoring result is associated with the learner identification information for identifying each student from the first terminal device 2. It transmits to the learning support apparatus 1. In this case, the first terminal device 2 may read the graded answer sheet P of each student by the 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 performed on digital content instead of a predetermined sheet, scoring is automatically performed, and the scoring result may be automatically collected by the learning support apparatus 1. In this case, it is not necessary to read the answer sheet P.

  The learning support apparatus 1 collects scoring results of different groups and performs an analysis process based on IRT at a timing described later. The learning support apparatus 1 creates a file M, which is a digital document indicating scoring results and analysis results. Furthermore, the learning support apparatus 1 is suitable 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 in which the learning material content corresponding to the performed academic ability test is stored. The learning material contents are individually extracted, the extracted learning material contents are added to the file M, and the added files M are collectively returned for each group.

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

  FIG. 2 is a block diagram illustrating a configuration of the learning system 100 according to 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. In the first embodiment, the learning support apparatus 1 is described as a single server computer. However, the processing may be distributed by a plurality of server computers. For example, a device that performs processing based on the information processing program 11P described later and a device that performs analysis processing based on the analysis program 12P may be configured by separate server computers. Or it is set as the structure which provides the one learning assistance apparatus 1 about the gathered group group, for example, makes the one learning assistance apparatus 1 correspond to the some school contained in one district, and provides the several learning assistance apparatus 1 in several districts. It is good also as a structure.

  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 a 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 a volatile memory of a DRAM (Dynamic Random Access Memory).

  The storage unit 11 uses a nonvolatile memory such as a hard disk or a flash memory. As described above, the storage unit 11 stores the information processing program 11P, the analysis program 12P, and the Web server program. The information processing program 11P executes processing for receiving scoring results from the first terminal device 2 and the second terminal device 3, processing for creating a file M according to the result of the IRT analysis based on the analysis program 12P, etc. in the control unit 10 Server program The storage unit 11 stores information that the control unit 10 refers to. The learning DB 101 is stored in the storage unit 11 or in an external storage device different from the learning support device 1. As long as reading and writing processing can be performed from the control unit 10, either internal or external processing is possible. 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 the network N.

  The first terminal device 2 is a computer used by an instructor who supports and guides the learner, and is a desktop or laptop personal computer. The first terminal device 2 may be a smartphone or a tablet 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 nonvolatile memory such as a hard disk or a flash memory. The storage unit 21 stores a terminal program 2P. The terminal program 2P is a Web browser program, and the processing unique to the learning system 100 in the first terminal device 2 that is a general-purpose computer may be executed on the Web browser. The first terminal device 2 can communicate with the reading device 29, 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. It 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 from 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 document data included in the file M provided from the learning support apparatus 1. The display unit 23 may be a touch panel built-in display.

  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 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 an operation input from 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 exchange information with the learning support apparatus 1 via the network N on the Web service. 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 connection to the access point AP.

  The network N includes a public communication network N1 that is a so-called Internet and a carrier network N2 that 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 with the learning device 1 via the network N from the base station BS. 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 also communicate with the learning support device 1 via the network N from the access point AP.

  FIG. 3 is an explanatory diagram showing an example of the contents of the learning DB 101. The learning DB 101 includes a learner DB 1011, a test result DB 1012, an analysis result DB 1013, a learning material DB 1014, and a learning history DB 1015.

  The learner DB 1011 stores group identification information for identifying a group (school, grade, class) to which the student belongs in association with learner identification information for identifying each student who is a learner.

  The test result DB 1012 stores the scoring results of tests performed by all 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 information indicating correctness (correct answer: 1, incorrect answer: 0) are stored. In addition, the test result DB 1012 stores the result of the IRT analysis (the total score, the deviation value, the rank, the ability rank, the question type result) for the scoring result in association with each other.

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

  The learning material DB 1014 stores document data of learning materials (learning test, class, or learning material corresponding to the learning test) in association with information for identifying each material. Further, the learning material DB 1014 may store each document data in association with information indicating a subject, a unit, a type, and a grade corresponding to the content of the document. The learning database 101 may include various other tables, and is not limited to the database structure shown in FIG.

  The learning history DB 1015 stores learning material identification information for identifying learning materials learned by each student in association with learner identification information. When the learning material is a digital learning material, the learning material identification information is stored when the learning material is actually learned. In the case of a digital teaching material, the learning date and time and the time required for learning may be stored in association with each other. When the learning material is a printed material, the learning material identification information when the learning material identification information of the learning material to be learned is transmitted may be stored, or a student (learner identification information) may be stored by the instructor. You may make it input and memorize | store the learning material identification information of the learning material learned for every time.

  An operation in the learning system 100 configured as described above will be described. FIG. 4 is a functional block diagram illustrating functions of the learning support apparatus 1 of the learning system 100. Based on the information processing program 11P stored in the storage unit 11, the control unit 10 of the learning support apparatus 1 collects test scoring results and stores them in the test result DB 1012 (first storage unit) of the learning DB 101. And the control part 10 functions as the analysis part 102 based on the analysis program 12P memorize | stored in the memory | storage part 11, and based on a learner's scoring result collected and memorize | stored in test result DB1012, a learner's Analyze grades, deviation values, ability ranks, etc. The control unit 10 functions as the 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 appropriate for each learner are stored from the analysis result. The control unit 10 functions as the creation unit 104 based on the information processing program 11P, and the extracted learning material is rearranged, given a mark of order, and the like so as to be displayed individually in a different manner for each learner. To create. Based on the information processing program 11P, the control unit 10 functions as the transmission unit 105 in cooperation with the communication unit 13, and transmits the learning material data created by the creation unit 104 to the learner.

  Details of these functions will be described with reference to flowcharts. FIG. 5 is a flowchart illustrating an example of a processing procedure performed by the learning support apparatus 1 according to 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 the scoring results with the learner identification information of the student who has entered the scored answer sheet P in the test result DB 1012. Store (step S1).

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

  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 on 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 analysis result (score, deviation value, rank, etc.) for the student corresponding to the corresponding learning identification information. A document indicating the capability index and the results by field is created (step S4). Further, the control unit 10 extracts document data of individual learning material from the learning material DB 1014 for each student based on the analysis result executed in step S3 (step S5), and adds it to the document created in step S4. Then, the bulletin 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 toward the first terminal device 2 corresponding to each group so that the files Mp are collectively transmitted to 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, similarly to step S2, the control unit 10 stores together that the IRT analysis is not performed in association with the stored scoring result.

  The control unit 10 refers to the test result DB 1012 and determines whether or not the scoring result collection degree 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.

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

  Based on the analysis result executed in step S10, the control unit 10 again creates a document indicating the analysis result (score, deviation value, rank, ability index, field-specific result) for all students (step S11). ). The control unit 10 extracts document data of individual learning materials from the learning material DB 1014 for each student (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 received the bulletin file Mp in step S7. This is because the learning material is likely to overlap. Or in order to avoid this duplication, in the 1st terminal device 2 which received the breaking news file Mp transmitted to the same student in step S7, and the final version file Mf transmitted in step S14, Only one of them may be printed by the student and handed over to the student.

  FIG. 6 is a flowchart illustrating an example of the procedure of the learning material extraction process. The processing procedure shown in FIG. 6 corresponds to the details of the procedure of step S5 in the flowchart of FIG.

  First, the control unit 10 of the learning support device 1 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 test scoring results and IRT analysis results that are the analysis target of the selected learner identification information are extracted from the test result DB 1012 (step S502). Based on the extracted scoring result and the result of the IRT analysis, the control unit 10 determines that the problem should be reviewed in particular, that is, the wrong answer, the correct answer but the guessed correct answer by chance, and the incorrect answer. Recommended review materials including the same type of problem are extracted from the learning material DB 1014 (step S503).

  In step S503, for example, the control unit 10 extracts a learning material including the same problem or the same problem as the problem of an incorrect answer during the test to be analyzed. Further, the control unit 10 extracts learning materials in which the test identification information of the corresponding test stored in the learning material DB 1014 in association with the learning material identification information matches the test identification information of the test to be analyzed. In addition, the control unit 10 extracts a learning material that is associated with the same type of type as the problem that is erroneously answered. Further, at this time, the control unit 10 has a problem that the correct answer rate of other learners is low as well as not being erroneously answered by the scoring result and IRT analysis result associated with the selected learner identification information. You may make it extract the learning material containing. Further, based on not only the scoring results and IRT analysis results for the test to be analyzed, but also learning materials including problems that tend to be erroneously answered are extracted based on past learning history stored in the learning history DB 1015. You may do it.

  Then, weights may be given to learning materials including the same problem or the same problem as the problem of incorrect answers, learning materials associated with the test identification information to be analyzed, past incorrect answer questions, and the like. Moreover, you may make it the control part 10 extract the learning material containing the problem similar to the problem which answered incorrectly using the similarity which can be calculated with a statistical parameter | index. If it is possible to determine which is an effective problem for review based on the items output as a result of IRT analysis, index values should be calculated in consideration of the extraction method as described above Good. Further, a plurality of patterns of learning materials selected by humans corresponding to the scoring results may be stored in association with the scoring results, and may be selected by learning using a learning model.

  The control unit 10 assigns priorities from the learning material extracted in step S503 to the problems that should be reviewed in particular (step S504), and sorts them according to the priorities (step S505). In step S <b> 504, the control unit 10 may assign a priority order from an index value derived from the above weighting or the like. The control unit 10 selects a predetermined number of learning materials from the sorting result (step S506), changes the order so that the selected learning materials are arranged in order of difficulty from the easy problem (step S507), and the selected learning material. Data of the material and the answer explanation of the selected learning material is created as one document data arranged in the changed order (step S508). In step S507, it may be arranged not only in order of easy problems but also in order of easy approach, for example, from a calculation problem or from a problem of asking knowledge by kanji or padding. Then, an order may be given in descending order of difficulty, and it can be tackled according to a learner's preference or characteristic, so that learning efficiency is improved and fixing of contents is expected. Further, in the change of the order in step S507, the learner identification information of the learner with better arithmetic results is arranged on the basis of the IRT analysis result of each learner, such as the arithmetic learning material first. You may change.

  Next, the control unit 10 determines whether or not all the learners extracted as analysis targets have been selected (step S509). When 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 apparatus 1. The example of FIG. 7 shows an example of the contents of the bulletin version file Mp transmitted in step S7 in the flowchart of FIG. The file Mp includes a document of a grade table (total score, deviation value, rank, ability index, question type grade) based on the analysis result. In addition, the grade table shows that both the review materials are included, and as shown in FIG. 7, individual learning materials extracted according to the grade are added for each subject.

  In this way, learning materials are individually added according to grades, and a file including learning materials rearranged in the order of importance (priority) and difficulty is distributed to each student. This reduces the burden on the instructor while providing a learning material that is printed out in a way that makes it easier for the learner to work, and gives confidence even if the instructor does not need direct instruction. It can be expected to improve learning motivation.

  The material for review created for each learner is not limited to the combination of document data stored in the learning material DB 1014, but is extracted from each question included in the document data, or It may be learning data including a new problem created with reference to the question. By performing the IRT analysis, it is possible to create learning data including problems that are actually useful to the learner in accordance with the learning situation, for example, among the problems that the learner has actually tackled and that are incorrect answers. In this way, it is possible to create and provide learning data that combines ideal problems for each learner, and further improvement in learning motivation or establishment of content is expected.

(Embodiment 2)
In the second embodiment, a learner performs learning and achievement test using digital content on a tablet terminal. FIG. 8 is a block diagram illustrating a configuration of the learning system 100 according to the second embodiment. A learning system 100 according to 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 apparatus 1 is possible. The configuration of the learning system 100 according to the second embodiment is that the second terminal device 3 for students exists, a detailed processing procedure due to the presence of the second terminal device 3, and the second terminal device 3 The aspect in the file Mp to be transmitted is different. Except for these points, the configuration is the same as that of the system in the first embodiment. Therefore, the same reference numerals are assigned to common components, and detailed description thereof is 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 2nd terminal device 3 is a tablet-type terminal, since it has the hardware constitutions similar to the 1st terminal device 2, corresponding code | symbol is attached | subjected and each detailed description is abbreviate | 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 display built-in touch panel integrated with the display unit 33 and 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 connected to the carrier network N2 via the base station BS. The third terminal device 3 can be communicatively connected to the learning support device 1 through the communication unit 35.

  When the achievement test is carried out in the second embodiment, 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 learner identification information as login information, and the second terminal device. The academic ability test is taken using the display unit 33 and the operation unit 34. With respect to these answers, the instructor performs scoring on the answer of the student in charge by the first terminal device 2 using the instructor's login information, collects the scoring results, and transmits them to the learning support device 1. The contents of the learning DB 101 that the learning support apparatus 1 reads and writes are the same as those in the first embodiment. Then, the learning support apparatus 1 performs the following processing.

  FIG. 9 is a flowchart illustrating an example of a processing procedure performed by the learning support apparatus 1 according to the second embodiment. Among the processing procedures shown in the flowchart of FIG. 9, the steps common to the processing procedure shown in the flowchart of FIG. 5 of the first embodiment are denoted by the same step numbers and detailed description thereof is omitted.

  When the controller 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 version file Mp added to the document created in step S5 is added to this. Is created (S6), and screen information 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. In addition, it is good to produce | generate screen information matched with the corresponding login information of a leader so that the screen which displays a learner's file Mp can also be browsed from the 1st terminal device 2 which a leader uses.

  After creating the final version of the file Mf (S13), the control unit 10 also creates screen information for browsing the file Mf (step S22) and associates it with the screen created in step S21 (step S21). S23), the process is terminated. Also in this case, the control unit 10 makes it possible to view each of its own files Mp on the screen from the second terminal device 3 used by the student for the created screen, and the first terminal device 2 used by the instructor. The screen information may be created so that the learner's file Mp can be browsed.

  FIG. 10 is a flowchart illustrating an example of a learning material extraction process procedure according to the second embodiment. The processing procedure shown in FIG. 10 corresponds to the details of the procedure of step S5 in the flowchart of FIG. Of the processing procedures shown in the flowchart of FIG. 10, the steps common to the processing procedure shown in the flowchart of FIG. 6 of the first embodiment are denoted by the same step numbers and detailed description thereof is omitted.

  In the second embodiment, the control unit 10 of the learning support device 1 extracts the scoring result and the analysis result (S502), and specifies the ability rank included in the analysis result (step S511). In step S503, the control unit 10 particularly recommends a review that includes a problem that should be reviewed, that is, a problem that has been answered incorrectly, a problem that is a correct answer but is suspected to have been answered by chance, and a problem that is the same type as the problem that has been erroneously answered. Teaching materials are extracted from the learning material DB 1014 (S503). At this time, in the second embodiment, if the ability rank is higher than a predetermined value (for example, rank A), the control unit 10 may have a high score and there is no problem to be reviewed. You may make it extract the challenge problem with a higher difficulty in the range of the unit of a test.

  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 a capability rank that is set in advance as a high rank, such as rank A, for example.

  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 learning materials (S507), and then advances the process to step S508. On the other hand, if 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.

  A learning material extraction process in the second embodiment will be described with a specific example. 11 and 12 are explanatory diagrams illustrating an example of the contents of the file M created by the learning support apparatus 1. In FIG. 11 and FIG. 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 the file M is displayed on the display unit 33 of the second terminal device 3 when it is determined that the ability rank is not high. FIG. 12 shows an example of a screen 331 on which the file M is displayed on the display unit 33 when it is determined that the rank is high. 11 and 12 show an example in which the second terminal device 3 receives and displays the final 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 materials for the national language are “K002”, “K010”, and “K012” in this order, but the recommended review for the national language included in the file Mf shown in FIG. The educational materials are in the order of “K002”, “K012”, and “K010”. In the file Mp in FIG. 7, the recommended review materials for arithmetic are “M001”, “M021”, and “M005” in this order, but the recommendations for the national language included in the file Mf shown in FIG. The review materials are in the order of “M001”, “M005”, and “M021”.

  In FIG. 12, the file Mf for learners different from the example of FIG. 11 is shown. Since it is determined as a high level, the order is the priority order of the extracted problems. In addition, since there was no wrong answer about arithmetic, the learning material containing the problem of a challenge level is extracted and added. Note that the learning material may not be extracted when there is no problem to be reviewed.

  In this manner, learning materials are provided that are individually rearranged in the order appropriate for the learner from the result of the IRT analysis. Depending on the level, the learning materials are provided according to the degree of individualized learning, such as changing to an order that is easy to tackle or challenge level questions. Therefore, it is expected to improve the learner's willingness to learn with learning materials displayed in a manner that makes it easier to tackle according to each ability while reducing the burden on the instructor who has to cope with different levels of learners. The

(Modification)
In the modified example, in the learning system 100 according to the second embodiment, the learning material is provided in an appropriate display mode in consideration of the time required for each question in the achievement 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 learner identification information as login information, and the display unit 33 and the operation unit 34 of the second terminal device 3 are displayed. Use it to take an academic test. The learning support device 1 that provides the academic ability test and other teaching materials to the second terminal device 3 measures the required time for each question. Further, in the modified example, the ability of each learner is evaluated not only by one academic ability test, but also by scoring multiple academic ability tests and the results of teaching materials on the learning system 100 through IRT analysis. Then, the learner DB 1011 stores the evaluation according to the problem type. In the modification, the learning support device 1 provides the learning material in an appropriate manner based on the time information and the problem type.

  FIG. 13 is an explanatory diagram illustrating an example of the contents of the learning DB 101 according to the modification. Note that the analysis result DB 1013, the learning material DB 1014, and the learning history 1015 are omitted from the contents of the learning DB 101 shown in FIG. 13, and only the learner DB 1011 and the test result DB 1012 are shown. As shown in FIG. 13, the learner DB 1011 learns using learner identification information as a key in addition to group identification information indicating a group to which the student belongs, in association with learner identification information for identifying 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 values of the abilities, evaluation index values (for example, a five-level evaluation from 1 (low) to 5 (high)) are derived for each subject and for each problem type (field). In the example shown in FIG. 13, an evaluation value for how to use the time according to the required time is derived for each problem type.

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

  The learning support apparatus 1 uses each question for each test from the statistics of the time distribution of the learners 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 is advisable to find an ideal time distribution. This time distribution may be obtained in consideration of the time distribution intended by the questioner. The obtained time distribution 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 these information will be described with reference to flowcharts. FIG. 14 is a flowchart illustrating an example of a learning material extraction process procedure according to the modification. The processing procedure shown in FIG. 14 corresponds to the details of the procedure of step S5 in the flowchart of FIG. Of the processing procedures shown in the flowchart of FIG. 14, the same steps as those shown in the flowchart of FIG. 6 of the first embodiment or the flowchart of FIG. 10 of the second embodiment are denoted by the same step numbers. The detailed explanation is omitted.

  In the modified example, when it is determined that the rank is not high in step S512 (S512: NO), the control unit 10 further selects each learning material in the order of easy subjects and question types according to individual abilities. In addition, marks are assigned in order from the easy learning material in order of the difficulty level according to the problem type (step S521). For example, the mark is assigned by storing a numerical value indicating an order in association with the learning material. For example, when the document data is in the pdf format, the order is stored in a non-display table. In the case of the HTML format, the order may be stored in the metadata. It should be noted that the mark assignment in step S521 may be in order of difficulty.

  In step S521, for example, the control unit 10 is good at each subject in order from the one with the highest ability by subject (special subject) associated with the learner DB 1011 with respect to the selected learner identification information. Marks are assigned so as to be executed in order from the simpler problem type. And it is good to give the mark which shows importance to the learning material containing the problem which should be reviewed intensively in order to overcome a weak point. The subjects may be fixed in a predetermined order (for example, national language, arithmetic, science, society, etc.).

  And the control part 10 provides the time information which shows the time allocation derived | led-out about each selected problem to each problem (step S522). Specifically, in step S522, the control unit 10 may store time information indicating time distribution in association with the problem identification information included in the learning material in association with the document data. For example, when the document data is in the pdf format, the time information may be stored in a non-display table, and in the HTML format, the time information may be stored in the metadata.

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

  FIG. 15 is a flowchart illustrating an example of a learning material display processing procedure on the second terminal device 3 side in the modification. 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 grade table (total score, deviation value, rank, ability index, question type grade) included in the received file M on the display unit 33 (step S302). At this time, a link to the review material is displayed on the display unit 33 (see FIG. 16). Based on the information of the marks (order, importance) given to each learning material included in the received file M, the control unit 30 is the learning material to be learned first, and should absolutely learn A guide including a message indicating that the material is 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 score sheet (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 a screen for the selected learning material (step S305). At this time, if the importance level is included in the mark, and the importance level is higher than a predetermined value, a message indicating that the problem is high is preferably displayed together.

  Next, the control unit 30 starts measuring the required time for the displayed learning material (step S306), and determines whether an answer has been made for each learning material (step S307). In step S307, when a plurality of questions are included in the displayed screen, a start button may be provided so that it is possible to grasp which question the learner has started to tackle.

  When it is determined that the answer has been made (S307: YES), the control unit 30 determines whether or not it is a predetermined time before 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 distribution.

  If it is determined in step S308 that it is not a predetermined time ago (S308: NO), the control unit 30 finishes measuring the time for the selected learning material (step S309), and the learning material included in the file M is It is determined whether or not all the processing has been completed (step S310).

  If it is determined in step S310 that the learning material has not ended (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 made (S307: NO), the control unit 30 determines whether or not the time distribution 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 elapsed (S311: NO), the control unit 30 returns the process to step S307 and waits for an answer based on the time distribution.

  If 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 allocation time, for example, “It is better to answer within 5 minutes. It is okay for 7 minutes, but it takes too much time for 8 minutes.” ). The notification may simply be a sound effect of a different sound type depending on the elapsed time.

  If it is determined in step S308 that the predetermined time has passed (S308: YES), the control unit 30 notifies a message indicating that the answer timing is too early for the time distribution (step S313), and the process is stepped. Proceed to S309. The message notified in step S313 is "Let's review! Is it correct?" The message should encourage you to digest.

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

  16 and 17 are explanatory diagrams illustrating examples of learning material display in the modification. FIG. 16 shows an example of a screen 331 on which the file Mf is displayed on the display unit 33 of the second terminal device 3. In FIG. 16 and FIG. 17, the screen 331 is switched to a screen showing other learning materials superimposed on each other 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 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 together with a message indicating that the learning material should be learned first. Effects such as blinking may be applied.

  In the modified example, when the selected learning material is displayed, as shown in FIG. 16, a message indicating that the problem is high in importance is displayed. This allows the learner to work on the review while realizing that it is an important issue. FIG. 17 shows a screen 332 displaying the selected learning material. On the screen 332, among the calculation history to be reviewed based on the learner's history and test results, the question or the class that was wrongly answered, or the easy question that should be tackled first is highlighted in a bold frame. Yes. In this way, not only the order of learning materials (question pages) displayed on one screen, but also questions, sub-questions, etc. included in each may be displayed individually in an appropriate manner.

  In the modified example, the learning material is provided in an appropriate manner by comprehensive analysis based on the required time and the comprehensive evaluation. However, the aspect may be configured to be used separately based on other individual elements. This makes it possible to provide learning materials displayed in a way that makes it easier for the learner to work while reducing the burden on the instructor, depending on the individual ability without the individual direct instruction of the instructor You can expect to improve your academic ability.

  The disclosed embodiments are to be considered in all respects as illustrative and not restrictive. The scope of the present invention is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

DESCRIPTION OF SYMBOLS 1 Learning support apparatus 10 Control part 11 Memory | storage part 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 First terminal device 3 Second terminal device 4 Third terminal device 20, 30, 40 Control unit 21, 31, 41 Storage unit 23, 33, 43 Display unit 29 Reading device

Claims (11)

A learning support device that collects and analyzes answers to questions from multiple learners and provides learning material data according to the analysis results,
A first storage unit for storing the collected answers in association with the learner's identification information;
A second storage unit storing a plurality of learning materials;
An analysis unit that analyzes the learning status of each of the learners based on the answers of the learners stored in the first storage unit;
An extraction unit for extracting learning material from the second storage unit individually for each of the plurality of learners based on the analysis result by the analysis unit;
A creation unit that creates learning material data including the learning material extracted by the extraction unit in a different manner for each of the plurality of learners;
A learning support device comprising: a transmission unit that transmits the created learning material data to a learner. The creation unit rearranges the learning materials extracted by the extraction unit in the order of difficulty assigned in advance, or in descending order of difficulty assigned by analysis of the analysis unit. Item 4. The learning support device according to Item 1. The said preparation part rearranges the learning material extracted by the said extraction part in the order of the importance provided previously or the importance given by the analysis of the said analysis part. Learning support device. The creation unit assigns an order to the learning material extracted by the extraction unit in the descending order of difficulty given in advance, or in descending order of difficulty assigned by analysis of the analysis unit. The learning support apparatus according to claim 1. The said preparation part rearranges learning material, when the number of correct answers of the learner of the provision destination of the learning material data to produce is below a predetermined number, The learning material is rearranged. Learning support device. A third storage unit for storing an ability rank based on learning histories of the plurality of learners;
2. The learning support according to claim 1, wherein the creation unit individually creates learning material data based on an analysis result of the analysis unit and an ability rank stored in the third storage unit. apparatus. The analysis unit performs analysis by IRT (Item Response Theory),
The learning support apparatus according to claim 1, wherein the creation unit creates learning data according to an analysis result of the analysis unit by an IRT for each of the learners. A plurality of terminal devices that include a display unit, and that receive answers from learners to the questions displayed on the display unit, and collect and analyze answers from a plurality of learners received by the plurality of terminal devices; A learning support system including a learning support device that provides learning material data according to an analysis result,
The learning support device includes:
A first storage unit for storing the collected answers in association with the learner's identification information;
A second storage unit storing a plurality of learning materials;
An analysis unit that analyzes the learning status of each of the learners based on the answers of the learners stored in the first storage unit;
An extraction unit for extracting learning material from the second storage unit individually for each of the plurality of learners based on the analysis result by the analysis unit;
A creation unit that creates learning material data including the learning material extracted by the extraction unit in a different manner for each of the plurality of learners;
A transmission unit for transmitting the created learning material data to the learner,
The plurality of terminal devices display learning materials on the display unit in different manners individually based on the learning material data transmitted by the transmission unit. The plurality of terminal devices are respectively
The learning support system according to claim 8, wherein learning materials are displayed on the display unit in the order of learning materials included in the learning material data transmitted by the transmission unit. A learning support method that collects and analyzes answers to questions from multiple learners and provides learning material data according to the analysis results.
The collected answers are sequentially stored in the storage unit in association with the learner's identification information,
Based on the memorized answer of each learner, the learning situation of each learner is analyzed,
From the second storage unit storing a plurality of learning materials, the learning materials are individually extracted for each of the plurality of learners based on the analysis results,
Create learning material data that includes the extracted learning material in a different manner for each of the plurality of learners,
A learning support method characterized by transmitting created learning material data to a learner. In a computer equipped with a storage unit,
Collecting answers to questions by a plurality of learners, sequentially storing them in the storage unit in association with identification information of each learner,
Based on the memorized answer of each learner, the learning situation of each learner is analyzed,
From the plurality of learning materials stored in the storage unit, individually extracted learning materials for each of the plurality of learners based on the analysis results,
Create learning material data that includes the extracted learning material in a different manner for each of the plurality of learners,
A computer program characterized by causing a process to transmit created learning material data to a learner.

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