JP4977723B2 - e-learning system and learning support server - Google Patents

Description

  The present invention relates to an e-learning system, which is a distance learning system using a computer network, and a learning support server.

  In recent years, with the speeding up of computers and the development of web technology (www: World Wide Web), a correspondence education system “e-learning” using a personal computer terminal and a communication network is becoming widespread. In the e-learning system, lecture information or teaching material information and test questions for evaluating learning results are transmitted in a web page format from a server to a student terminal via a communication line using a web browser function. The The student learns according to the lecture / teaching material information presented on the terminal screen, and when a test question (question) is displayed, the answer is input. On the server side, lecture / teaching material information is provided to the student terminal according to a procedure predetermined for each course, and the answer from the student terminal to the test problem is scored.

  The e-learning system is suitable for remote education and self-development of students because each student can study in his / her room or any other place at a time convenient for him / her. However, unlike group education courses where classes are conducted with the instructor (or teacher) and students facing each other, the e-learnig system takes the students' facial expressions and gestures on the teaching material provider side (server side). The level of understanding and concentration of the person cannot be perceived.

  In order to provide learning information according to the degree of understanding of the student, for example, Japanese Patent Laid-Open No. 2003-280516 (Patent Document 1) discloses teaching material content on a learning web page that displays the teaching material content on the student terminal. It is proposed to provide a button to input the student response of whether or not “I understand” or “I don't know”. The learning server of Patent Document 1 includes a attendance history database that stores a history of pressing “I understand” and “I don't know” buttons together with attendance identification numbers and teaching material unit numbers. Here, the attendance identification number is a combination of a teaching material number, a branch number, and a student number.

  In Patent Document 1, information presented as a learning material of a student is structured as a knowledge tree, a description number is linked to a node (terminal node) at the lowest layer of the knowledge tree, and the student clicks the “don't know” button. When pressed, the learning server transmits a partial knowledge tree related to the teaching material being displayed on the student terminal to the student terminal. When the student selects any terminal node of the knowledge tree displayed on the terminal screen, the explanation linked to the selected node is transmitted from the learning server to the student terminal. In Patent Document 1, the number of users who press the “I don't know” button, the number of selections by selection node number, and the selection probability are stored in the selection probability database provided in the learning server for each teaching material unit number. When displaying a knowledge tree on a terminal, it is proposed to display past selection frequencies in association with each terminal node (explanation).

JP 2003-280516 A

  Patent Document 1 provides an “I understand” button and an “I don't know” button on the learning web page screen, and when the student presses the “I don't know” button, the student gives commentary information useful for understanding the teaching materials. It is intended to present. However, Patent Document 1 does not propose an e-learning system in which the learning server automatically selects commentary information that seems to be optimal for the student and transmits it to the student terminal.

  The learning server of Patent Document 1 associates with the terminal node (explanation) of the knowledge tree related to the teaching material that could not be understood when the student presses the “I don't know” button, and selects the past by other students. A web page indicating the frequency is transmitted to the student terminal, and when the student selects any terminal node, comment information linked to the selected terminal node is transmitted to the student terminal. In this case, the explanation information sent to the student terminal is arbitrarily selected by the student himself with reference to the past selection frequency by other students. There is no guarantee.

  An object of the present invention is to provide an e-learning system and a learning support server capable of presenting a test problem to a student after learning the learning material and presenting the next learning material suitable for the student according to the test result. It is in.

  In order to achieve the above object, in the e-learning system of the present invention, a learning support server connected to a Web server that provides teaching material information and test questions to a plurality of student terminals analyzes the response history information of a plurality of students. In addition to the learning material that the student has learned this time, the test problem presented to the student accompanying the certain learning material is obtained from other learning materials that have already been learned. The learning support server selects a learning material that is valid for the student based on the response history information for each student and the above-mentioned teaching material proposal effect information. Is notified to the Web server.

More specifically, in the e-learning system of the present invention, a learning support server connected to a Web server that provides teaching material information and test questions to a plurality of student terminals is provided:
The answer history information file that stores the student answer information received from the Web server as the answer history information for each student, and questions indicating the relationship between each test question identifier and a plurality of teaching material identifiers for a plurality of test questions An answer analysis information file indicating the relationship between the information file and the identifiers of the plurality of test questions and the plurality of teaching material identifiers for each answer, and a plurality of teaching materials specified by the teaching material identifiers, for each test question identifier A teaching material determination information file for storing a determination parameter value for selection as the next suggested teaching material,
The answer analysis information file is updated based on the answer history information file and the question information file, the teaching material determination information file is updated based on the answer history information file and the answer analysis information file, and the teaching material determination information file is updated. Based on the above, the next suggested teaching material to be proposed to the student in the student answer information is selected and notified to the Web server.

  The above-described update of various files and selection of the next proposed teaching material are realized by program modules executed by the processor of the learning support server. The learning support server of the present invention includes, as program modules executed by the processor, for example, an answer storage unit that updates the answer history information file based on student answer information received from the Web server, the answer history information file, An answer analysis unit for updating the answer analysis information file based on the question information file, and a determination parameter for updating a decision parameter value of the teaching material determination information file based on the answer history information file and the answer analysis information file An updating unit, and a teaching material proposing unit that selects a next proposed teaching material to be proposed to a student of the student reply information based on the teaching material determination information file.

  Here, the student response information received from the Web server by the learning support server includes, for example, at least one response entry indicating the relationship between the teaching material identifier, the test question identifier, the response, and the response time information. When the storage unit registers the answer entry received as the student answer information in the answer history information file, the new entry and the existing entry are distinguished by the flag information added to each registered entry, and the test question identifier and If there is an entry group with the same flag information, the entry with the latest answer time information is left and the other entries are deleted from the answer history information file.

  The question information file is information indicating whether the test question specified by the test question identifier is presented to the student along with the teaching material specified by the teaching material identifier as information indicating the relevance, for example. including. The answer analysis unit refers to the question information file based on the teaching material identifier and the test question identifier indicated by the entry newly registered in the answer history information file, and specifies the teaching material and the test question specified by the teaching material identifier. When the relevance with the test problem specified by the identifier and the existing entry registered in the answer history information file satisfy a specific condition, the answer analysis information file is updated.

  Further, the answer analysis information file includes, as information indicating the relevance, for example, numerical information indicating the number of correct answerers and the number of incorrect answerers when presenting the teaching material specified by the teaching material identifier for each answer, The answer analysis unit updates the value of the number of correct answers or the number of incorrect answers.

  The learning material determination information file stores, as the determination parameter value, for example, a numerical value indicating the effectiveness of the learning material specified by the learning material identifier for the test problem specified by the test question identifier, and the determination parameter The update unit determines whether the answer of the entry newly registered in the answer history information file is a correct answer and the specific problem identifier indicated by the teaching material judgment information file according to the content of the answer analysis information file And the corresponding parameter value is updated. In this case, the teaching material proposing unit selects an identifier of the next proposed teaching material to be proposed to the student based on the parameter value indicated by the teaching material determination information file.

  According to the present invention, the learning support server analyzes the response history information of a plurality of students in association with the problem identifier and the response in the response analysis information file (the learning effect of the learning material). Since the next proposed teaching material is selected based on the information accumulated in the response analysis information file and the response history information for each student, test questions can be obtained from multiple teaching materials. When knowledge is required, it is possible to present the most appropriate teaching materials to students who have not correctly answered this problem.

1 is a diagram showing a schematic configuration of an e-learning system to which a learning support server of the present invention is applied. The block diagram which shows one Example of the learning assistance server 30. FIG. The figure which shows the relationship between the program module which the learning assistance server 30 performs, and various information files. The figure which shows an example of the student reply information 300 contained in the received message from the e-learning server 10. FIG. The figure which shows an example of the data structure of the response log | history information file 310. The figure which shows an example of the data structure of the question information file 320. FIG. The figure which shows an example of the data structure of the answer analysis information file 330. The figure which shows an example of the data structure of the teaching material determination information file 340. FIG. 7 is a flowchart showing the operation of the answer storage unit 210. 5 is a flowchart showing the operation of a determination parameter update unit 220. 7 is a flowchart showing the operation of the answer analysis unit 230. The flowchart which shows operation | movement of the teaching material proposal part 250. FIG.

An embodiment of the present invention will be described below with reference to the drawings.
FIG. 1 shows a schematic configuration of an e-learning system to which a learning support server of the present invention is applied.
The e-learning system includes a web server (e-learning server) 10 and a plurality of student terminals 30 (30-1, 30-2,...) connected to the e-learning server 10 via a communication network NW. 30-n).

  When the learning support server 20 of the present invention receives each student's answer information from the e-learning server 10, the learning support server 20 updates the student's answer history and selects an effective teaching material according to the answer history. The learning material ID for designating the next learning material to be provided to the user is notified to the e-learning server. In FIG. 1, the learning support server 20 and the e-learning server 10 are directly connected, but the learning support server 20 may be connected to the e-learning server 10 via the network NW.

  The e-learning server 10 is a server that provides learning material information and test questions to the student terminal 10 in the current e-learning system, and is a learning material database for storing learning material information to be provided to the student ( DB), a learning management information file for storing a student's learning range and grade information, and a Web page screen containing teaching material information, questions or test questions to each student terminal, and attending Web communication function for receiving response information and response information from a person.

FIG. 2 is a block diagram illustrating an embodiment of the learning support server 30.
The learning support server 30 includes a processor 21, an input / output device 22 such as a display screen, a mouse, and input keys, a communication interface 23 for communicating with the e-learning server 10, memories 24 and 25, and elements thereof And an internal bus 26 for interconnecting the two.

  The memory 24 includes a main control unit (main control routine) 200, an answer storage unit (answer storage routine) 210, and a determination parameter update unit (determination parameter update) as program modules related to the present invention executed by the processor 21. Routine) 220, an answer analysis unit (answer analysis routine) 230, and a teaching material proposal unit (teaching material proposal routine) 250 are stored.

  Also, in the memory 25, an answer history information file 310, a question information file 320, an answer analysis information file 330, and a teaching material determination information file 340 are formed as information files used by the programs 210 to 250, and an e-learning is formed. A reception information memory area 350R for buffering reception information from the server 10 and a transmission information memory area 350T for buffering transmission information to the e-learning server 10 are defined.

FIG. 3 shows the relationship between the program module prepared in the memory 24 and the information file formed in the memory 25.
When receiving the student response information message transmitted from the e-learning server 10 from the communication interface 23, the main control unit 200 extracts the student response information from the received message and stores it in the reception information memory area 350R. Then, the answer storage unit 210 is activated. The answer storage unit 210 updates the answer history information file 310 based on the student answer information, and then activates the determination parameter update unit 220. The operation of the answer storage unit 210 will be described in detail later with reference to FIG.

The determination parameter updating unit 220 refers to the response history information file 310 and the response analysis information file 330, updates the teaching material determination information file 340, and then activates the response analysis unit 230. The operation of the determination parameter update unit 220 will be described in detail later with reference to FIG.
The answer analysis unit 230 refers to the answer history information file 310 and the question information file 320, updates the answer analysis information file 330, and then activates the teaching material proposal unit 250. The operation of the answer analysis unit 230 will be described in detail later with reference to FIG.

  The learning material proposing unit 250 selects the learning material ID indicating the next learning material to be presented to the student based on the learning material determination information file 340, stores the student ID and the learning material ID in the transmission information memory area 350T, The control unit 200 is requested to transmit data. When receiving a data transmission request from the teaching material proposal unit 250, the main control unit 200 reads the student ID and the teaching material ID from the transmission information memory area 350T, generates a transmission message including these IDs, -Send to the learning server 10. The operation of the teaching material proposal unit 250 will be described in detail later with reference to FIG.

FIG. 4 shows an example of the student reply information 300 included in the received message from the e-learning server 10.
The student reply information 300 includes a reply student ID: 30 ID and a plurality of reply entries. Each answer entry indicates an answer 303, an answer time 304, and a correct answer 305 in association with the teaching material ID 301 and the problem ID 302. Here, the learning material ID 302 indicates an identifier that can uniquely identify the learning material, and the problem ID 302 indicates an identifier that can uniquely identify the problem presented to the student accompanying the learning material. The answer 303 is a student's answer to a specific problem having the problem ID 302, the answer time 304 is a time when the e-learning server 10 receives the answer from the student, and a correct answer 305 is a correct answer to the specific problem. ing.

FIG. 5 shows an example of the data structure of the response history information file 310.
The answer history information file 310 is generated for each student and includes a student ID: 31 ID, a plurality of answer history entries, and the number of entries 317. In each answer history entry, information items 301 to 305 of each answer entry of the student answer information 300 are registered as learning material ID 311, question ID 312, answer 313, answer time 314, and correct answer 315. A new flag 316 is added. A new flag 316 indicates whether an answer history entry is newly added (“1”) or an existing one (“0”). The number of entries 317 indicates the number N of answer history entries registered in the answer history information file 310.

FIG. 6 shows an example of the data structure of the question information file 320.
The question information file 320 stores relevance information 322 indicating the relevance between the learning material ID 321 and the problem ID 323. In the example of FIG. 6, the question information file 320 includes a plurality of columns 322A to 322F corresponding to the question ID 323. Each column includes a question ID and a teaching material ID (“teaching material A” to “teaching material F”). The relevance is indicated by the symbol “X”, “Y” or “−”.

Here, the symbol “X” indicates that a specific test question (question) having the question ID 323 is presented to the student along with the teaching material specified by the teaching material ID 321 and knowledge necessary for the correct answer of the test question. Most of the cases are present in the teaching materials presented this time.
The symbol “Y” indicates that a specific test question having the question ID 323 is presented to the student along with the learning material specified by the learning material ID 321, but knowledge necessary for the correct answer of the test question is presented this time. This shows the case where only a specific material is insufficient and it is necessary to refer to another material. In principle, the other teaching materials to be referred to have been presented to students in the past, but depending on the students, they may be unlearned teaching materials.
The symbol “-” indicates a case where the specific test question having the question ID 323 is not presented at the learning time of the learning material specified by the learning material ID 321 but is presented to the student along with another learning material. Therefore, the teaching material with the symbol “-” can be another teaching material to be referred to in the test problem with the symbol “Y”.

FIG. 7 shows an example of the data structure of the answer analysis information file 330.
The answer analysis information file 330 stores information (here, teaching material proposal effect) 333 indicating the relationship between the answer 332 to the test problem identified by the problem ID 331 and the plurality of teaching materials indicated by the teaching material ID 334. In the example of FIG. 7, the response analysis information file 330 includes a plurality of fields 333A to 333F corresponding to the learning material ID 334, and the effect when the learning material having the learning material ID is proposed for the answer 332 in each field is shown. The teaching material proposal effect information 333 to be shown is stored. In the illustrated example, the number “+” indicates the number of students who have correctly answered the test question having the problem ID 323 as a result of proposing the specific teaching material indicated by the teaching material ID 321, and the number “−” indicates the number of students who have made an incorrect answer. Yes.

FIG. 8 shows an example of the data structure of the teaching material determination information file 340.
The learning material determination information file 340 is generated for each student and includes a student ID: 34 ID and a plurality of entries indicating the number of proposal weights of the learning material for each problem. In the illustrated example, the learning material determination information file 340 includes a plurality of storage fields 342A to 342F for each problem ID 343. In each field, the learning material having the learning material ID 341 for a specific problem corresponding to the problem ID 343 is displayed. The number of proposals is memorized. Note that the number of proposals stored in the teaching material determination information file 340 increases or decreases depending on whether or not the student correctly answered the test question, and is referred to as the number of proposal weights in the following description.

Next, with reference to FIGS. 9 to 12, one embodiment of the program modules 210 to 250 in which the processor 21 is executed by the learning support server 20 of the present invention will be described.
FIG. 9 is a flowchart showing the operation of the answer storage unit 210 activated by the main control unit 200.

  When the response storage unit 210 is activated, the processor 21 reads the student response information 300 from the reception information memory area 350R (step 211), and updates the response history information file 310 to be updated with the value of the student ID: 30ID. Identify. The processor 21 clears the new flag 317 of all the registered entries in the answer history information file 310 corresponding to the student ID (“0” state) (212), and then follows the student answer information 300. A new answer history entry is added to the answer history information file 310 (213). “1” is set in the new flag 317 of the new answer history entry.

  The processor 21 searches the answer history information file 310 for an entry group in which the problem ID 312 matches and the new flag 316 is in the same state, and leaves the latest answer time 314 in each entry group. The entry is deleted (214). Thereafter, the processor 21 counts the number of registered entries in the response history information file 310, stores it as the number of entries 317 (215), and activates the determination parameter update unit 220 (216).

FIG. 10 is a flowchart showing the operation of the determination parameter update unit 220.
When the determination parameter update unit 220 is activated, the processor 21 sets the value of the parameter i for specifying the entry in the answer history information file 310 to the initial value “0”, and sets the parameter N indicating the maximum value of the entry. Then, after setting the value of the number of entries 317 stored in the answer history information file 310 (221), the value of the parameter i is incremented (222), and the parameters i and N are compared (223).

  If i is N or less, the processor 21 refers to the i-th entry E (i) of the answer history information file 310 (224), checks the value of the new flag 316 (225), and the new flag 316 is “ If not "1", the process returns to step 222, increments the value of the parameter i, and repeats the above-described operation.

  When the new flag 316 of the i-th entry E (i) is “1”, the processor 21 compares the answer 313 with the correct answer 315 to determine whether or not the student's answer is correct (226). . If the answer is correct, the processor 21 determines that all the fields in which the question ID 343 matches the question ID 312 of the i-th entry E (i) in the teaching material determination information file 340 shown in FIG. 8 corresponding to the student ID: 30 ID. Is decremented (subtracted by 1) (228B), and the process returns to step 222.

  When the answer of the i-th entry E (i) is not correct, the processor 21 matches the problem ID 331 and the answer 332 from the answer analysis information file 330 with the problem ID 312 and the answer 313 of the i-th entry E (i). The entry is searched, and the teaching material ID 334 (= IDmax) optimum for the problem ID 331 is selected from the value of the teaching material proposal effect 333 (227). The optimal teaching material ID (IDmax) is, for example, a teaching material ID that maximizes the value of “(number of correct answerers−number of non-correct answerers) / number of respondents”. Here, the number of correct answerers is the number of persons α indicated by “+ α” in FIG. 7, and the number of correct answerers is the number of persons β indicated by “−β”.

  Thereafter, the processor 21 matches the learning material ID 341 with the optimal learning material ID (IDmax) in the learning material determination information file 340 corresponding to the student ID: 30 ID, and the problem ID 343 corresponds to the problem ID 312 of the i-th entry E (i). The value of the number of proposal weights in the matching field is incremented (increased by 1) (228A), and the process returns to step 222.

  In step 222, the value of the parameter i is incremented, and the above-described steps 223 to 228A and 228B are repeated, so that the learning material determination information file 340 is determined according to the correctness of the new answer 303 notified in the student answer information 300. The number of proposal weights 342 indicated by is updated. When the value of the parameter i exceeds N, the processor 21 activates the answer analysis unit 230 (229).

FIG. 11 is a flowchart showing the operation of the answer analysis unit 230.
When the answer analysis unit 230 is activated, the processor 21 sets the value of the parameter i for specifying the entry in the answer history information file 310 to the initial value “0”, and sets the parameter N indicating the maximum value of the entry. After setting the value of the number of entries 317 stored in the response history information file 310 (231), the value of the parameter i is incremented (232), and the parameters i and N are compared (233).
If i is N or less, the processor 21 refers to the i-th entry E (i) of the answer history information file 310 (234), checks the value of the new flag 316 (235), and the new flag 316 is “ If not "1", the process returns to step 232 to increment the value of the parameter i and repeat the above-described operation.

  When the new flag 316 of the i-th entry E (i) is “1”, the processor 21 refers to the question information file 320 and the learning material ID 321 and the problem ID 323 are the learning material ID 311 of the i-th entry E (i). And the mark column that matches the problem ID 312 is checked (236). If the X mark is not set in the mark field, the processor 21 returns to step 231, increments the value of the parameter i, and repeats the above-described operation.

  If an X mark is set in the mark field, the processor 21 stores an entry E in the answer history information file 310 in which the problem ID 312 matches the problem ID of the i-th entry E (i) and the new flag is “0”. It is determined whether (f) exists (238).

  If the entry E (f) does not exist, the processor 21 returns to step 231. When the entry E (f) exists, the processor 21 determines that the problem ID 331 and the answer 332 match the problem ID 312 and the answer 313 of the entry E (f) in the answer analysis information file 330, and the learning material ID 334 is the first ID. After updating (239) the teaching material proposal effect 333 that matches the learning material ID 311 of the i entry E (i), the process returns to step 231.

In this embodiment, when the answer to the i-th entry E (i) is correct, the update of the teaching material proposal effect 333 is increased by 1 for the number of correct answerers (number of people indicated by “+ α”) and the answer is not correct. In the case of (1), the number of people who are not correctly answered (number of people indicated by “−β”) is increased by one.
By incrementing the parameter i in step 232 and repeating steps 233 to 239 described above, the teaching material proposal effect 333 of the answer analysis information file 330 can be updated in the answer history information file 310 according to the contents. When the value of the parameter i exceeds N, the processor 21 activates the learning material proposing unit 250 (240).

FIG. 12 is a flowchart showing the operation of the teaching material proposal unit 250.
When the learning material proposing unit 250 is activated, the processor 21 calculates the total number of proposal weights for each learning material ID in the learning material determination information file 340 (251), and determines the learning material ID with the maximum total number of proposal weights. The proposed teaching material ID is selected (252). The processor 21 stores the student ID and the next suggested teaching material ID in the transmission information memory 350T (253), clears the value of the proposed weight number of the next proposed teaching material ID in the teaching material determination information file 340 (254), The controller 200 is requested to transmit data (235).

  In the above embodiment, the determination parameter update unit 220 activates the answer analysis unit 230 and the answer analysis unit 230 activates the teaching material suggestion unit 250, but when the update of the teaching material determination information file 340 is completed, the determination is performed. The parameter updating unit 220 may activate the teaching material suggesting unit 250, and the answer analyzing unit 230 may be activated after the teaching material suggesting unit 250 completes selection of the next suggested teaching material ID. Alternatively, the answer storage unit 210 to the answer analysis unit 230 may notify the main control unit 200 of the end of the program processing, and the main control unit 200 may start the program to be executed next.

  In the embodiment, the e-learning server 10 transmits the student answer information 300 including the correct answer 305 to the learning support server 20, but the learning support server 20 holds the correspondence between the problem ID and the correct answer information. Accordingly, the correct answer 305 may be omitted from the student response information 300. In the embodiment, the learning support server 20 selects the next suggested teaching material ID suitable for the student using the answer history information of each student stored in the answer history information file and the answer analysis information file. However, for example, feature data other than the answer to the test question, such as the answer time for each question and the amount of movement of the mouse, is stored in the answer history information file, and these data are used to select the next suggested teaching material ID. It may be used. In the embodiment, one next proposed teaching material ID is transmitted according to the answer of the student, but only the teaching material suggestion or teaching material suggestion unit 250 is executed, and the e-learning server 10 selects the suggested teaching material. Also good.

10: e-learning server, 20: learning support server, 30: learner terminal,
NW: network, 200: main control unit, 210: answer storage unit,
220: determination parameter update unit, 230: answer analysis unit, 250: teaching material proposal unit,
310: answer history information file, 320: question information file,
330: Answer analysis information file, 340: Teaching material determination information file,
350R: reception information memory area, 350T: transmission information memory area.

Claims (10)

A learning support server connected to a web server for an e-learning system that provides teaching material information and test questions to a plurality of student terminals via a communication network,
An answer history information file for storing student answer information received from the Web server as answer history information for each student;
For multiple test questions, a question information file indicating the relationship between each test question identifier and multiple teaching material identifiers,
An answer analysis information file indicating the relevance to a plurality of teaching material identifiers for each answer in association with the plurality of test question identifiers;
A teaching material determination information file for storing a determination parameter value when selecting as a next proposed teaching material for each of the plurality of learning materials specified by the teaching material identifier,
The answer analysis information file is updated based on the answer history information file and the question information file, the teaching material determination information file is updated based on the answer history information file and the answer analysis information file, and the teaching material determination information file is updated. A learning support server characterized by selecting a next proposed teaching material to be proposed to a student of the student answer information based on the information and notifying the Web server. An answer storage unit for updating the answer history information file based on the student answer information received from the Web server;
An answer analysis unit for updating the answer analysis information file based on the answer history information file and the question information file;
A determination parameter update unit that updates a determination parameter value of the teaching material determination information file based on the response history information file and the response analysis information file;
The learning support server according to claim 1, further comprising: a learning material proposing unit that selects a next proposed learning material to be proposed to a student of the student answer information based on the learning material determination information file.   3. The student answer information received from the Web server comprises at least one answer entry indicating a relationship between a teaching material identifier, a test question identifier, an answer, and answer time information. Learning support server.   When the answer storage unit registers the answer entry received as the student answer information in the answer history information file, the new entry and the existing entry are distinguished by flag information added to each registered entry, 4. The method according to claim 3, wherein when there is an entry group having the same problem identifier and flag information, the entry with the latest answer time information is left and the other entries are deleted from the answer history information file. The learning support server described.   Information indicating whether the test question specified by the test question identifier is presented to the student accompanying the learning material specified by the learning material identifier as information indicating the relevance in the question information file The learning support server according to claim 4, further comprising:   The answer analysis unit refers to the question information file based on the teaching material identifier and the test question identifier indicated by the entry newly registered in the answer history information file, and specifies the teaching material and the test question specified by the teaching material identifier. The response analysis information file is updated when the relevance with a test question specified by an identifier and an existing entry registered in the response history information file satisfy a specific condition. 5. The learning support server according to 5. The answer analysis information file includes numerical information indicating the number of correct answerers and the number of incorrect answerers when the teaching material specified by the teaching material identifier is presented for each answer as the information indicating the relevance,
The learning support server according to claim 6, wherein the answer analysis unit updates the value of the number of correct answers or the number of incorrect answers. The learning material determination information file stores, as the determination parameter value, a numerical value indicating the effectiveness of the learning material specified by the learning material identifier for the test question specified by the test question identifier,
The determination parameter update unit specifies the identification indicated by the teaching material determination information file according to the determination result whether or not the answer of the entry newly registered in the answer history information file is correct and the content of the answer analysis information file The learning support server according to claim 6, wherein a parameter value corresponding to the problem identifier is updated.   9. The learning support server according to claim 8, wherein the learning material proposing unit selects an identifier of a next proposed learning material to be proposed to the student based on a parameter value indicated by the learning material determination information file. In an e-learning system comprising a web server that provides teaching material information and test questions to a plurality of student terminals via a communication network, and a learning support server connected to the web server,
The learning support server is
An answer history information file for storing student answer information received from the Web server as answer history information for each student;
For multiple test questions, a question information file indicating the relationship between each test question identifier and multiple teaching material identifiers,
An answer analysis information file indicating the relevance to a plurality of teaching material identifiers for each answer in association with the plurality of test question identifiers;
A teaching material determination information file for storing a determination parameter value when selecting as a next proposed teaching material for each of the plurality of learning materials specified by the teaching material identifier,
The answer analysis information file is updated based on the answer history information file and the question information file, the teaching material determination information file is updated based on the answer history information file and the answer analysis information file, and the teaching material determination information file is updated. Based on the above, the next suggested teaching material to be proposed to the student in the student answer information is selected and notified to the Web server,
The e-learning system, wherein the Web server presents the next suggested teaching material notified from the learning support server to a student terminal corresponding to the student answer information.

Images