JP5682305B2 - Learning support device, learning support method, and program - Google Patents

Description

  The present invention relates to a learning support device that supports learning, and more particularly to a learning support device that presents a problem to a learner so that the learner can review efficiently.

  2. Description of the Related Art Conventionally, there are known learning support systems and learning support devices that use the Internet or the like to solve a problem with a personal computer at the learner's home and assist in learning for qualification and examination. Such learning support systems are widely spread under names such as e-learning.

  Some conventional learning support systems and learning support apparatuses can repeatedly solve a wrong problem in order to establish knowledge necessary for acquisition of a specific qualification test or a certain field, for example.

  As a technique like this, conventional computer iterative learning methods increase the time interval for iterative learning for problems that are solved by learners, and shorten the time interval for iterative learning for problems that are incorrect. Then, when the number of mistakes has become a certain number or more, the wrong problem is repeatedly solved (see, for example, Patent Document 1).

Japanese Patent No. 4386975

  However, in the conventional techniques including the technique described in Patent Document 1, since the learning is repeatedly performed for the wrong problem, the degree of fixation of the learner's memory is increased, but the correct problem is solved in a long period of time. There is a problem that the learner forgets the knowledge about the correct answer because the reviewer does not review all the time or does not review at all. In particular, the human brain is said to forget the content learned along an exponential curve called the Ebbing House forgetting curve, so it is efficient to review even the correct answer at an appropriate time. It is considered necessary for learning.

  The present invention has been made in view of the above-described problems. The purpose of the present invention is to present not only the problem that the learner made a mistake but also the correct problem to the learner at an appropriate timing. It is to provide a learning support device that enables a person to review efficiently.

In order to achieve the above-mentioned object, the first invention provides the final correct / incorrect result indicating the number of learning, the last learning date and time, and the correct or incorrect result at the last learning for each learner and problem. Learning history database for storing, extraction means for extracting information of a specific learner from the learning history database, forgetting approximation function expressed as a function of the number of learning times and the time elapsed since the last learning date, A specific learner extracted by the extraction means for a fixing degree function that is defined by the term of the final correct / incorrect result and takes a smaller numerical value when the final correct / incorrect result is incorrect than when it is correct And calculating means for calculating the current fixing degree for each problem, and a presentation method for presenting the problem to be learned based on the current fixing degree calculated by the calculating means. If, comprising a said presentation means is a learning support system, wherein the presentation child by changing the display screen by displaying the alert information to the learner in accordance with the degree of fixation.

  In the first invention, the fixing degree is calculated from the fixing degree function defined from the forgetting approximation function and the final correct / correct result, and the problem to be presented to the learner is determined based on the fixing degree. Even questions that have been correctly answered before can be reviewed at an appropriate time when the degree of fixation has fallen more than a certain level (think that the learner has forgotten). In addition, since the fixity function takes a smaller value when the final correct / incorrect result is incorrect than when it is correct, the wrong problem can be reviewed with priority over the correct answer. The number of times of reviewing will also increase. Furthermore, since the forgetting approximation function is expressed as a function of the number of learning times and the elapsed time from the last learning date and time, problems with a small number of learning times can be reviewed with priority.

  The fixing degree function in the first invention is obtained by multiplying the forgetting approximation function by the term of the final correct / incorrect result, and the term of the final correct / incorrect result is a numerical value in the incorrect answer rather than the value in the correct answer. Can be made smaller.

  As a result, the degree to which the wrong problem is fixed becomes smaller than the problem that the learner has answered correctly, so that the wrong problem can be reviewed with priority.

  The calculation means in the first invention can set a numerical value for an incorrect answer related to the term of the final correct / incorrect result according to the difficulty level or the importance level.

  As a result, for example, the number of reviews can be reduced for problems that are too difficult and should be discarded, and the number of reviews can be increased for problems with high importance.

The second invention has a learning history database that stores the number of learnings, the last learning date and time, and the final correct / incorrect result indicating the result of either correct answer or incorrect answer when learning last, for each learner and problem. A learning support method executed by a computer comprising: an extraction step of extracting information of a specific learner from the learning history database; and forgetting expressed as a function of the number of learning times and an elapsed time from the last learning date and time Extracted by the extraction step for a fixing degree function that is defined by an approximation function and a term of the final correct / incorrect result and takes a smaller value when the final correct / incorrect result is incorrect than when it is correct. Substituting information of a specific learner and calculating a current fixing degree for each problem, and based on the current fixing degree calculated by the calculating step , Seen containing a presentation step of presenting the problem to be currently learned, and the presenting step includes presenting child by changing the display screen by displaying the alert information to the learner in accordance with the loyalty Is a learning support method characterized by In the second invention as well, the learner can review efficiently as described above.

In the third invention, the computer stores, for each learner and problem, the number of times of learning, the last learning date and time, and the final correct / incorrect result indicating the result of either the correct answer or the incorrect answer at the last learning. A history database, extraction means for extracting information of a specific learner from the learning history database, a forgetting approximation function expressed as a function of the number of times of learning and the time elapsed since the last learning date, and the final correctness result And the specific learner's information extracted by the extracting means is substituted for a fixing degree function that is defined by the term and takes a numerical value that is smaller when the final correct / incorrect result is incorrect than when it is correct. , comprising: a calculating means for calculating a current loyalty per issue, based on the current loyalty calculated by said calculating means, and presenting means for presenting a problem to be currently learned, the The presentation unit is a program for functioning as a learning support device for presenting varying the display screen by displaying the alert information to the learner in accordance with the degree of fixation. In the third invention, the learner can review efficiently as described above.

  According to the present invention, it is possible for the learner to review efficiently, and it is possible to effectively increase the degree of fixation of the learner's knowledge.

The figure which shows the outline | summary of the learning assistance apparatus 1 Hardware configuration diagram of terminal 3 (server 2) The figure which shows the database memorize | stored in the memory | storage part 12. The figure which shows the learning history database 22 Flow chart showing the outline of learning support processing Diagram showing change in anchorage rate based on efficient revenge interval incorporating Ebbinghouse forgetting curve A graph showing the fixing degree function when the answer is correct A graph showing the fixity function when the answer is incorrect A graph showing the change in retention when learning multiple problems A table showing the time to review when studying multiple questions A graph showing another example of change in the degree of fixation when learning multiple problems A graph showing another example of change in the degree of fixation when learning multiple problems A graph showing another example of change in the degree of fixation when learning multiple problems The figure which showed the example of the display screen displayed on the display part 16.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. First, a basic configuration according to an embodiment of the present invention will be described with reference to FIGS.

  FIG. 1 is a diagram showing an outline of a learning support apparatus 1 according to the present invention. As shown in FIG. 1, in a learning support apparatus 1 according to the present invention, a server 2 and a terminal 3 are connected via a network 5. The network 5 is a LAN (Local Area Network), the Internet, or the like.

  The server 2 receives a request for reviewing the learner's problem from the terminal 3, and transmits data of the problem to the terminal 3. The terminal 3 receives input information from the learner, transmits it to the server 2 as a request for reviewing the problem, receives data on the problem to be reviewed from the server 2, and presents the problem to the user. The embodiment of the present invention is not limited to the client server type configuration as shown in FIG. 1, but may be a stand alone type configuration. That is, the learning support device may be configured by a single computer having the functions of the server 2 and the terminal 3 described later. Further, for example, a configuration in which a program or the like is transmitted from the server 2 to the terminal 3 and the terminal 3 functions alone as the learning support apparatus 1 may be employed.

  FIG. 2 is a hardware configuration diagram of the terminal 3 (server 2). Note that the hardware configuration in FIG. 2 is an example, and various configurations can be adopted depending on the application and purpose. A computer that realizes the terminal 3 (server 2) includes a control unit 11, a storage unit 12, a media input / output unit 13, a communication control unit 14, an input unit 15, a display unit 16, a peripheral device I / F unit 17, and the like. 18 is connected. Note that when the terminal 3 functions alone as the learning support apparatus 1, the hardware configuration of FIG. 2 is the hardware configuration of the terminal 3. As shown in FIG. 1, when the learning support apparatus 1 has a client-server configuration, some components such as the storage unit 12 are included in the server 2.

  The control unit 11 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like.

  The CPU calls and executes a program stored in the storage unit 12, ROM, recording medium or the like to a work memory area on the RAM, executes drive control of each device connected via the bus 18, and executes the terminal 3 (server 2). ) To be described later. The ROM is a non-volatile memory and permanently holds a computer boot program, a program such as BIOS, data, and the like. The RAM is a volatile memory, and temporarily stores programs, data, and the like loaded from the storage unit 12, ROM, recording medium, and the like, and includes a work area used by the control unit 11 for performing various processes.

  The storage unit 12 is an HDD (hard disk drive) or the like, and stores a program executed by the control unit 11, data necessary for program execution, an OS (operating system), and the like. With respect to the program, a control program corresponding to an OS (operating system) and an application program for causing a computer to execute processing described later are stored. Each of these program codes is read by the control unit 11 as necessary, transferred to the RAM, read by the CPU, and executed as various means.

  The media input / output unit 13 (drive device) inputs / outputs data, for example, media such as a CD drive (-ROM, -R, -RW, etc.), DVD drive (-ROM, -R, -RW, etc.) Has input / output devices. The communication control unit 14 includes a communication control device, a communication port, and the like, and is a communication interface that mediates communication between the computer and the network. The communication control unit 14 performs communication control with other computers via the network 5. The network 5 may be wired or wireless.

  The input unit 15 inputs data and includes, for example, a keyboard, a pointing device such as a mouse, and an input device such as a numeric keypad. An operation instruction, an operation instruction, data input, and the like can be performed on the computer via the input unit 15. The display unit 16 includes a display device such as a CRT monitor and a liquid crystal panel, and a logic circuit (such as a video adapter) for realizing a video function of the computer in cooperation with the display device.

  The peripheral device I / F (interface) unit 17 is a port for connecting a peripheral device to the computer, and the computer transmits and receives data to and from the peripheral device via the peripheral device I / F unit 17. The peripheral device I / F unit 17 is configured by USB, IEEE 1394, RS-232C, or the like, and usually includes a plurality of peripheral devices I / F. The connection form with the peripheral device may be wired or wireless. The bus 18 is a path that mediates transmission / reception of control signals, data signals, and the like between the devices.

  FIG. 3 is a diagram illustrating a database stored in the storage unit 12. As shown in FIG. 3, the storage unit 12 stores a learner database 21 and a learning history database 22. The learner database 21 stores data such as a learner's name, a learner's registration number in the storage unit 12, and a learner's password as basic data for each learner. The learning history database 22 stores data on the history of problems learned by the learner in the past.

  FIG. 4 is a diagram showing the learning history database 22. The learning history database 22 stores, for each learner and problem, the number of times of learning, the last learning date and time, and the final correct / incorrect result indicating the result of either the correct answer or the incorrect answer when last learned. In the example illustrated in FIG. 4, for learners A and B, the number of learnings, the last learning date and time, and the final correct / incorrect result for each question number are stored.

  Next, processing in the embodiment of the present invention will be described with reference to FIG. FIG. 5 is a flowchart showing an outline of the learning support processing according to the embodiment of the present invention. FIG. 5 shows a learning support process executed by the learning support apparatus 1 shown in FIG.

First, when a specific learner inputs that he / she wants to review a problem from the input unit 15, the learning support process according to the embodiment of the present invention is started, and the control unit 11 refers to the learner database 21 and stores it. The learner's information is extracted from the learning history database 22 stored in the unit 12 (S101). At this time, the control unit 11 reads the final correct / incorrect result indicating the number of learnings, the last learning date and time, and the correct answer or incorrect answer when learning last, for each specific learner and problem.
The execution timing of the learning support process may be (1) a timing when the learner logs in, (2) batch processing at a predetermined time, or the like. In the case of the batch process (2), even when the learner is not logged in, the control unit 11 notifies the user by e-mail or the like when the fixing degree falls below the threshold, and prompts review.

  Next, the control unit 11 selects a problem for calculating a fixing degree described later (S102). At this time, for example, when the total number of questions is 100, the control unit 11 selects one question for calculating the fixing degree from the 100 questions.

  Then, the control unit 11 calculates the current fixing degree for each problem selected in S102 (S103). As will be described later, the fixing degree is calculated by substituting information of a specific learner extracted by the control unit 11 into a fixing degree function according to the forgetting curve of the Ebbing House. It should be noted that the fixing degree function includes the number of times a specific learner has learned the problem, the forgetting approximation function (described later) expressed as a function of the elapsed time from the last learning date and time, the correct answer or inaccuracy at the last learning time. It is defined from the section of the final correct result indicating either correct answer result. In addition, the fixing degree function takes a smaller numerical value when the final correct / incorrect result is incorrect than when it is correct.

  Then, the control unit 11 determines whether or not the fixing degrees of all the problems to be processed have been calculated (S104), and when the fixing degrees of all the problems have not been calculated (No in S104), all of them are determined. The processes of S102 and S103 are repeated until the degree of fixing of the problem is calculated. If the fixing degree of all the problems to be processed has been calculated (Yes in S104), the process proceeds to S105.

  If it is determined in S104 that the degree of fixing of all the problems has been calculated (Yes in S104), the control unit 11 presents the problem to be learned to the learner (S105). At this time, the control unit 11 determines that the current fixing degree is smaller than a certain value as a problem to be learned (reviewed), and causes the display unit 16 to display the problem.

  In S105, when a problem to be learned is presented, the learner learns the problem (S106). For example, in the case of a five-choice question, the learner uses the input unit 15 to select an answer that is considered to be correct from five choices. Further, for example, in the case of a problem of a format for inputting characters and numbers, the learner inputs characters and the like from the input unit 15.

  Finally, the control unit 11 updates the learning history database 22 (S107) and ends the learning support process. The update of the learning history database 22 reflects the total number of times of learning, the learning date and time, the correct answer or the incorrect answer result for the problem learned by the learner in S106, and the learning number, the last learning date and time, and the last learning This is done by updating the final correct / incorrect result indicating the result of either correct answer or incorrect answer.

  Here, with reference to FIGS. 6 to 13, the current fixing degree calculation processing for each problem in S <b> 103 of FIG. 5 will be described. FIG. 6 is a diagram showing a change in the fixing rate based on an efficient revenge interval incorporating the forging curve of the Ebbing house. Note that, as described above, the current degree of fixation for each problem is the result of either the forgetting approximation function expressed as a function of the number of learnings and the time elapsed since the last learning date and the correct or incorrect answer when learning last. Is calculated from a fixing degree function defined by a term of a final correct / incorrect result (hereinafter referred to as a correct / incorrect term). In the present embodiment, the forgetting approximation function is an equation according to the forging curve of Ebbinghaus.

  The forgetting curve of the Ebbing House shown in FIG. 6 is an example in which how much the content learned by humans is stored is examined and plotted as a fixing rate (corresponding to the fixing degree of the present embodiment). As shown in FIG. 6, generally, the human brain forgets exponentially over time even the contents stored once, and the retention rate of the memory decreases. In other words, forgetting starts abruptly immediately after storage, and forgetting becomes gentle as time passes.

  FIG. 6 shows a graph of memory retention when the learner learns the same problem for the second time and the third time, in addition to the graph of memory retention when the learner learns for the first time. As can be seen from these graphs, by repeatedly reviewing and storing the same problem, it is possible to moderate the decrease in the fixing rate and make it difficult to forget the contents.

  In the example of FIG. 6, the learner has almost forgotten the contents after 7 weeks after learning once. However, as shown in FIG. 6, when the second and third review is performed when the memory fixing rate falls below about 50%, the content is about 60% even after 10 weeks from the first study. I will remember it.

  In this way, reviewing makes it easier for the learner's memory to become established (Herman-Ebbinghouse experiment), so if the learner learns a specific field (for example, civil law) efficiently, , Less troubles, and improve the memory and understanding level of the whole field.

  However, if all the review is left to the learner, the review becomes unplanned and the efficiency of the review often decreases. Further, in the case of existing learning support devices such as e-learning, it is often impossible for an educator to notify individual learners of the timing for review, because it takes time and labor. In the learning support apparatus 1 according to the present embodiment, as described below, the learner can review efficiently by prompting the learner to review at an appropriate timing.

ここで、Ａ（ｎ、ｔ）は忘却近似関数、ｎは学習回数、ｔは最終学習日時からの経過時間である。

ここで、ｑ_ｉは正誤項、ｉは問題番号、αは定数もしくは延べ問題数や学習者の総学習期間などを反映した係数である。

ここで、Ｐ_ｉ（ｑ_ｉ、ｎ、ｔ）は定着度関数である。本実施の形態では、定着度関数が、忘却近似関数に正誤項を乗じたものとなっている。また、正誤項は、正解のときの数値よりも不正解のときの数値の方が小さくなっている。 In the present embodiment, the following equations are used as the forgetting approximation function, the correct / wrong term, and the fixing degree function. The correct / incorrect term is a term of a final correct / incorrect result indicating a result of either a correct answer or an incorrect answer when a specific learner last learns as described above.

Here, A (n, t) is a forgetting approximation function, n is the number of learnings, and t is an elapsed time from the last learning date and time.

Here, q _i is a correct / incorrect term, i is a question number, α is a constant or a coefficient reflecting the total number of questions, the learner's total learning period, and the like.

Here, P _i (q _i , n, t) is a fixing degree function. In the present embodiment, the fixing degree function is obtained by multiplying the forgetting approximation function by a correct / incorrect term. In addition, the correct / incorrect term is smaller in the numerical value in the incorrect answer than in the correct answer.

Note that the forgetting approximation function A (n, t) is expressed as a function of the number of times that a specific learner has learned the problem and the elapsed time from the last learning date and time, and satisfies the above-described conditions. A formula other than the above may be used. Also, other expressions may be used for the correct / error terms q _i and the fixing degree function as long as the above conditions are satisfied.

  FIG. 7 is a graph showing a fixing degree function when the learner learns the problem last time and corrects the problem. FIG. 8 is a graph showing the fixing degree function when the learner last learned the problem and the problem was incorrect. 7 and 8 show the case where the number of learnings n is 1 to 3, and the unit of the elapsed time t from the last learning date is 1 week. In FIG. 8, the coefficient α is set to 0.6. As shown in FIGS. 7 and 8, the fixing degree decreases exponentially with the elapsed time from the last learning date and time. This is the same as the forgetting curve of the Ebbing House shown in FIG.

  FIG. 9 is a graph showing changes in the degree of fixing when a specific learner learns a plurality of problems. In the example of FIG. 9, the coefficient α in equation (2) is 0.6, and the unit of elapsed time is one week. In addition, the timing when the problem is presented to the learner, that is, the timing when the learner reviews the problem is the time when the fixing degree becomes less than 0.4.

  In the example of FIG. 9, it is assumed that the learner answers the question A and the question B for the first time on the same day, and the question A is answered correctly, but the question B is wrong. Then, after 2 weeks, problem A has a fixing degree of about 0.5, whereas problem B has a fixing degree of about 0.3, so that after 2 weeks, only problem B is a learner. Will be presented. As described above, the problem that has been learned the same number of times at the same timing can be reviewed with priority on the wrong problem.

  FIG. 10 is a table showing the time required for review when a specific learner learns a plurality of problems. In the example of FIG. 10, the coefficient α in equation (2) is 0.6, and the unit of time until review is one week. In addition, the timing when the problem is presented to the learner, that is, the timing when the learner reviews the problem is the time when the fixing degree becomes less than 0.4.

  In the example of FIG. 10, it is assumed that the learner answers the question A and the question B for the first time on the same day, and the question A is answered correctly, but the question B is wrong. Assume that question A continues to be correctly answered after the second time, and question B continues to be mistaken after the second time. At this time, the number of times the problem is presented when 50 weeks have passed since the first answer of the problem A and the problem B, that is, the number of times the learner reviews the problem A is 3 times, while the problem A is 3 times. Will be 5 times. In this way, it can be seen that the wrong question requires more reviews than the correct answer.

  FIG. 11 is a graph showing another example of the change in the fixing degree when a specific learner learns a plurality of problems. In the example of FIG. 11 as well, the coefficient α in equation (2) is 0.6, and the unit of elapsed time is one week. In addition, the timing when the problem is presented to the learner, that is, the timing when the learner reviews the problem is the time when the fixing degree becomes less than 0.4.

  In the example of FIG. 11, it is assumed that the learner answers the question A for the first time and corrects it. Then, two weeks later, it is assumed that problem B is first answered and made a mistake. Then, three weeks after answering the question A, the fixing degree of the question A is smaller than 0.4, whereas the fixing degree of the question B is less elapsed time after learning. The value is still larger than 0.4. For this reason, only the question A will be presented to the learner three weeks after answering the question A. In this way, even if the problem has been answered correctly by the learner before, it is possible to review it preferentially at a timing at which the learner is likely to forget.

  FIG. 12 is a graph showing still another example of a change in the fixing degree when a specific learner learns a plurality of problems. In the example of FIG. 12 as well, the coefficient α in equation (2) is 0.6, and the unit of elapsed time is one week. In addition, the timing when the problem is presented to the learner, that is, the timing when the learner reviews the problem is the time when the fixing degree becomes less than 0.4.

  In the example of FIG. 12, it is assumed that the learner has answered the question A for the first time and has correctly answered it. Then, it is assumed that a problem B, which is the third answer in total on the same day, is solved and made a mistake. Then, after three weeks, the fixing degree of the problem A is smaller than 0.4, whereas the fixing degree of the problem B is a value larger than 0.4. For this reason, only the question A will be presented to the learner three weeks after answering the question A. In this way, it is possible to review a problem with less learning frequency preferentially than a problem learned many times.

  FIG. 13 is a graph showing still another example of a change in the fixing degree when a specific learner learns a plurality of problems. In the example of FIG. 13, the coefficient α in the equation (2) is 0.6, and the unit of elapsed time is one week. In addition, the timing when the problem is presented to the learner, that is, the timing when the learner reviews the problem is the time when the fixing degree becomes less than 0.4.

  In the example of FIG. 13, it is assumed that the learner has answered the question A for the first time and has correctly answered it. However, it is assumed that the problem B starts learning before the problem A, and the third answer is made two weeks before the problem A is solved, so that the mistake is made. Then, three weeks after answering the problem A, the fixing degree of the problem A is smaller than 0.4, whereas the fixing degree of the problem B is larger than 0.4. For this reason, only the question A will be presented to the learner three weeks after answering the question A. In the example of FIG. 13 as well, as in the example of FIG. 12, a problem with less learning frequency can be reviewed with priority over a problem that has been learned many times.

  As described above, in the learning support apparatus 1 according to the present embodiment, not only the problem that the learner is wrong but also the problem that is correctly answered is reviewed. However, since it is considered that there is a difference in the degree of fixing between the correct problem and the problem that was mistaken, in this embodiment, by multiplying the coefficient α when the mistake is made, the difference in the degree of fixation between the correct problem and the wrong problem is obtained. (See formulas (1) to (3)). In this way, it is possible to review the problem that has been forgotten even if it is correct and the wrong problem in a balanced manner.

と表わされる。式（４）において、ｎは学習回数、ｔは経過時間である。 Here, it is considered how the fixing degree function changes on the graph by multiplying the problem mistaken by the learner by the coefficient α. First, if the calculation formula of the fixing degree when the learner answers correctly is T (t), the calculating formula of the fixing degree when the mistake is made is αT (t). T (t) is calculated from the equations (1) to (3).

It is expressed as In equation (4), n is the number of learnings and t is the elapsed time.

と表わされる。 Here, the value of t when T (t) = α (0 ≦ α ≦ 1) is expressed as log _N α taking the logarithm with N as the base for both sides of this equation. For this reason, the calculation formula αT (t) for the fixing degree when a mistake is made is

It is expressed as

As can be seen from the rightmost side of the equation (5), the graph of the fixing degree calculation formula αT (t) when the mistake is made is the log _N It has been moved laterally to the left by α. Therefore, loyalty function when even wrong loyalty function becomes a loyalty function when correct answer was lateral movement to the left by log _N alpha.

  In this way, it is considered that moving the fixing degree function to the left when the mistake is made is also appropriate when considering the forgetting curve of the Ebbing House. In other words, when the fixing degree is the same value, it is considered that the fixing degree is almost the same for both correct and wrong problems, so the formula for calculating the fixing degree when making a mistake is αT (t). Is considered reasonable.

  FIG. 14 is a diagram illustrating an example of a display screen displayed on the display unit 16 of the learning support device 1. First, for example, when the learner turns on the terminal 3 and accesses the server 2 via the Internet, the top screen shown in FIG. 14A is displayed on the display unit 16.

  Then, when the learner selects the “review mode” in FIG. 14A using the input unit 15 such as a mouse, the learning support process shown in FIG. 5 is started, and the question screen in FIG. 14B is displayed. The On this question screen, a problem to be learned is presented to the learner (S105 in FIG. 5), and learning by the learner is performed (S106 in FIG. 5). In the example of FIG. 14 (b), the problem is a five-choice question, and the learner selects one that seems to be the correct answer from the five options. The problem screen is displayed for all problems whose fixing degree is smaller than a certain value. 14B, when the learner selects one option and presses the “answer” button, whether the answer is correct or incorrect, the correct answer, the explanation of the problem, etc. is displayed on the display unit 16. Displayed (not shown).

  In the problem screen of FIG. 14B, the display screen can be changed according to the fixing degree for each problem. For example, a problem with a fixing degree of 0.2 or less is in red as “absolute review problem”, and a problem with a fixing degree of 0.2 to 0.6 is yellow as “necessary problem” with a fixing degree of 0. About six or more problems, “safe zone” may be displayed in blue.

  In FIG. 14B, when the learner has solved all the problems to be learned at that time, a result screen shown in FIG. 14C is displayed. On the result screen, for example, the total number of questions presented at that time, the number of correctly answered questions, and the like are displayed.

  As described above, according to the learning support device 1 in the embodiment of the present invention, the fixing degree is calculated from the fixing degree function defined from the term of the forgetting approximation function and the final correct / incorrect result, and is presented to the learner based on the fixing degree. Since the problem to be determined is determined, even if the problem has been answered correctly by the learner before, it is possible to review at an appropriate timing that the learner is likely to forget. In addition, since the fixity function takes a smaller value when the final correct / incorrect result is incorrect than when it is correct, the wrong problem can be reviewed with priority over the correct answer. The number of times of reviewing will also increase. Furthermore, since the forgetting approximation function is expressed as a function of the number of learning times and the elapsed time from the last learning date and time, problems with a small number of learning times can be reviewed with priority.

<Modification 1>
Next, Modification 1 of the embodiment of the present invention will be described. In the first modification, the coefficient α in the above-described correct / incorrect term (see Expression (2)) is set according to the difficulty level or importance level of the problem. The other configurations of the learning support device 1, the learning support processing, the fixing degree calculation method, and the like are the same as those in the above-described embodiment, and thus description thereof is omitted.

  For example, if there is a problem with difficulty levels A to E (A is the most difficult), α for problem A is 0.9, α for problem B is 0.8, α for problem C is 0.7, The α of the problem of D is individually set to 0.6, and the α of the problem of E is individually set to 0.5. Thereby, for example, it is possible to reduce the number of reviews and increase the number of reviews of easy questions for problems that are difficult to ask in the qualification examination and should be discarded.

  Also, when there is a problem with importance from A to E (A is the most important), α of problem A is 0.5, α of problem B is 0.6, and α of problem C is 0. .7, α for the problem of D is set to 0.8, and α for the problem of E is set to 0.9. Thereby, for example, it is possible to increase the number of reviews for problems with high importance in practice, and reduce the number of reviews for problems with low importance. Other effects are the same as in the above-described embodiment.

<Modification 2>
Next, a second modification of the embodiment of the present invention will be described. In the above-described embodiment, the fixing degree when the mistake is made is calculated by multiplying the fixing degree when the answer is correct by a coefficient α (see Expression (2)). However, in Modification 2, the fixing degree when making a mistake is calculated by subtracting a certain number from the fixing degree when correct. Note that other configurations of the learning support device 1, learning support processing, and the like are the same as those in the above-described embodiment, and thus description thereof is omitted.

  In the second modification, for example, the calculation formula of the fixing degree when the answer is correct is T (t), and the calculation formula of the fixing degree when the mistake is made is T (t) − (1−α). Here, α is 0 ≦ α ≦ 1 as in the above-described embodiment. In the above-described embodiment, the fixing degree function at the time of making a mistake is the one in which the fixing degree function at the time of making a correct answer is laterally moved to the left. However, in Modification 2, the fixing degree function at the time of making a mistake is The fixing degree function when the answer is correct is moved downward.

  In addition, it is considered that the problem that a long time has passed since learning has almost been forgotten whether the answer is correct or wrong (fixing degree is close to 0). Even if a long time elapses, there is a difference between the fixing degree when the answer is correct and the fixing degree when the mistake is made. In addition, since the degree of fixation after learning a problem is severe, the degree of fixation of a problem learned before and a problem learned later may be reversed, and it may not be possible to review a problem that has been forgotten. . However, by using the fixing degree calculation method of Modification 2, it is possible to obtain substantially the same effect as that of the above-described embodiment with a simple calculation method.

Further, an example in which the difference between the threshold value of each problem and the fixing degree is replaced with a recommendation degree to the user is also considered.
For example, when a problem once solved is presented to the user, the problem including a problem in which the fixing degree is higher than the threshold is presented. (1) When the fixing degree is lower than the threshold, the difference between the threshold and the fixing degree is Increase the priority of the larger problem, and (2) if the fixing degree is higher than the threshold, increase the priority of the problem with the smaller difference between the fixing degree and the threshold and assign a priority number to each problem. And present it to the user.
Let the user select the problem to be solved by looking at the priority number.

  The preferred embodiments of the learning support apparatus and the like according to the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to such examples. It will be apparent to those skilled in the art that various changes or modifications can be conceived within the scope of the technical idea disclosed in the present application, and these naturally belong to the technical scope of the present invention. Understood.

DESCRIPTION OF SYMBOLS 1 ......... Learning support apparatus 2 ......... Server 3 ......... Terminal 5 ......... Network 11 ......... Control part 12 ......... Storage part 13 ......... Media input / output part 14 ......... Communication control part 15 ......... Input unit 16 ......... Display unit 17 ......... Peripheral device I / F unit 18 ......... Bus 21 ......... Learner database 22 ......... Learning history database

Claims (5)

For each learner and problem, a learning history database that stores the number of times of learning, the last learning date and time, and the final correct / incorrect result indicating the result of either the correct answer or the incorrect answer at the last learning,
Extracting means for extracting information of a specific learner from the learning history database;
Defined by the forgetting approximation function expressed as a function of the number of times of learning and the time elapsed since the last learning date and time, and the term of the final correct / incorrect result, when the final correct / incorrect result is incorrect rather than correct Calculating means for substituting information of a specific learner extracted by the extracting means for a fixing degree function that takes a small numerical value, and calculating a current fixing degree for each problem;
Presenting means for presenting a problem to be learned based on the current fixing degree calculated by the calculating means;
Equipped with,
The presenting means changes and presents the display screen by displaying information that calls attention to the learner according to the fixing degree.
Learning support and wherein a call.   The fixing degree function is obtained by multiplying the forgetting approximation function by the term of the final correct / incorrect result, and the term of the final correct / incorrect result is smaller in the numerical value in the incorrect answer than in the correct answer. The learning support apparatus according to claim 1.   The learning support apparatus according to claim 1, wherein the calculation unit sets a numerical value for an incorrect answer related to the term of the final correct / incorrect result according to a difficulty level or an importance level. For each learner and question, a computer having a learning history database that stores the number of learning, the last learning date and time, and the final correct / incorrect result indicating the result of either correct answer or incorrect answer at the last learning is executed. A learning support method,
An extraction step of extracting specific learner information from the learning history database;
Defined by the forgetting approximation function expressed as a function of the number of times of learning and the time elapsed since the last learning date and time, and the term of the final correct / incorrect result, when the final correct / incorrect result is incorrect rather than correct Substituting the information of the specific learner extracted by the extraction step for the fixing degree function that takes a small value, a calculation step for calculating the current fixing degree for each problem,
A presenting step of presenting a problem to be learned based on the current fixing degree calculated by the calculating step;
Only including,
In the presenting step, the display screen is changed and presented by displaying information that calls attention to the learner according to the fixing degree.
Learning support wherein a call. Computer
For each learner and problem, a learning history database that stores the number of times of learning, the last learning date and time, and the final correct / incorrect result indicating the result of either the correct answer or the incorrect answer at the last learning,
Extracting means for extracting information of a specific learner from the learning history database;
Defined by the forgetting approximation function expressed as a function of the number of times of learning and the time elapsed since the last learning date and time, and the term of the final correct / incorrect result, when the final correct / incorrect result is incorrect rather than correct Calculating means for substituting information of a specific learner extracted by the extracting means for a fixing degree function that takes a small numerical value, and calculating a current fixing degree for each problem;
Presenting means for presenting a problem to be learned based on the current fixing degree calculated by the calculating means;
Equipped with,
The presenting means changes and presents the display screen by displaying information that calls attention to the learner according to the fixing degree.
Program for functioning as a learning support apparatus.

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