JP5098066B2 - Learning support system - Google Patents

Description

  The present invention relates to an education system performed via a communication network, and more particularly to a learning support system, a learning support method, and a program capable of updating problems and improving user learning efficiency.

  2. Description of the Related Art Conventionally, in a system that supports user learning using the Internet, various proposals for improving the learning effect have been made.

  For example, in Patent Document 1, when a correct answer is made to a question on a certain problem, the repetitive learning interval, which is an interval until the next learning for the same question, is changed to be long. The interval time is changed so as to be shortened, and the time interval until the next learning interval is managed.

  In addition, the invention of Patent Document 2 allows students to adjust the propositions to be presented to the students according to the learning tendency of each student by dynamically determining according to the learning result of each student. It is possible to provide an education service for other correspondence.

Further, in order to create an effective problem in the multi-branch selection type problem, for example, in Patent Document 3, in learning English words, a data table that associates a Japanese translation with each English word is used. From the data table 1, select one English word that should be a multi-branch question, and based on the Japanese translation for the selected English word, determine the wrong answer from the Japanese translation for each other English word other than the English word The method of doing is proposed.
Japanese Patent Laid-Open No. 11-15361 JP-A-11-282826 JP 2004-85734 A

  However, in the above-described learning using the Internet or communication terminal, the question interval of the problem is changed depending on the difficulty level of the question to be asked and whether the answer of the user is correct, and the user understands the problem. If this is not possible, the same problem is output regardless of the importance of the problem.

  In addition, the provision of more effective problems is desired, but the problem creation method according to the conventional technology is fixed once the problem is created, and thereafter, unless the problem is changed by the questioner The same problem was offered. Since it is difficult to know whether the changed problem is valid or not, there is a problem that it takes time to construct an effective problem group.

  The present invention has been made in view of the above-described circumstances, and can effectively create an effective problem. For each user, a problem that is highly important to the user is preferentially extracted and relearned. It is an object of the present invention to provide a learning support system, a learning support method, and a program that can improve learning efficiency by enabling the learning.

  In order to achieve the above object, a learning support system according to the present invention is connected to a user terminal via a communication network, transmits a problem to the user terminal, and based on the answer sent from the user terminal, A learning support system that determines correctness and transmits the determination result to a user terminal, and includes a user-specific result that includes the latest problem implementation time, the correctness result, and the presence or absence of past incorrect answers for each user problem. It is characterized by comprising means for storing information, and review means for extracting problems to be presented in a predetermined priority order based on the result information for each user and transmitting them to the user terminal.

  In the present invention, the review questions are extracted by taking into account not only the latest correct / incorrect results but also the past correct / incorrect results, so even if the recent implementation results are correct, there may have been mistakes in the past. It is possible to relearn problems that are easy to make mistakes.

  Preferably, the review means first extracts a problem with the latest correct / incorrect result being “incorrect answer” and transmits it to the user terminal as a review problem, and then the latest correct / incorrect result is “correct answer”. ”And the past information on whether or not there is a wrong answer“ excludes a wrong answer ”is extracted and sent to the user terminal as a review question in the order of the latest problem implementation time.

  More preferably, the reviewing means calculates the misanswer rates of a plurality of users for each question, and sends the questions implemented before a predetermined period or more in ascending order of the misanswer rate.

  In addition, the above review means first extracts a problem with the latest correct / incorrect result being “incorrect answer” and sends it to the user terminal as a review problem, and then the latest correct / incorrect result is “correct”. It is also possible to store the presence / absence of past misanswers as the number of misanswers, extract the questions in the descending order of the number of times, and send them to the user terminal as review questions. Thereby, relearning can be performed effectively.

  The learning support system according to the present invention is connected to a user terminal via a communication network, transmits problem information to the user terminal, and determines whether the answer is correct based on the answer sent from the user terminal. A learning support system for transmitting the determination result to the user terminal, the multi-branch selection problem for selecting a correct branch from a plurality of answer groups, and means for storing a correct branch and a plurality of incorrect branches. Characterized in that it comprises problem output means for extracting a smaller number of incorrect branches than the stored number and forming a selected branch group together with the correct branches and outputting them. To do.

  In the present invention, in the multiple choice problem, not all of the registered incorrect branches are output as selection branches, but a part thereof is output together with the correct branches. The user may infer the correct answer branch based on the relative judgment among the selected choice questions, and it is possible to construct an effective choice group.

  Preferably, the problem output means randomly extracts incorrect answer branches for each problem output to form a selected branch group, further calculates a correct answer rate of a plurality of users for each selected branch group, and outputs the calculation result It is advisable to provide statistical means to do this.

  The learning support system according to the present invention is connected to a user terminal via a communication network, transmits problem information to the user terminal, and determines whether the answer is correct based on the answer sent from the user terminal. , A learning support system for transmitting the determination result to the user terminal, in a multi-branch selection problem for selecting a correct branch from a plurality of answer groups, a means for storing a correct branch and a plurality of incorrect branches, and a problem for each user A method for storing the latest problem implementation time, correct / wrong results, and result information for each user including the presence / absence of past incorrect answers, and the number of stored incorrect answer branches. A problem output means for randomly extracting a smaller number of incorrect branches and forming a selected branch group together with correct branches and transmitting the selected branch group to the user terminal, and a selected branch group based on the answer sent from each user terminal And a statistical means for calculating the correct answer rate of a plurality of users, and for the problem executed before the predetermined period when the same problem is executed again, the selected branch having the lowest correct answer rate in the selected option group And a review means for transmitting the group.

  In the present invention, when a question is given to a user for the first time, an incorrect branch is extracted at random, and a selected branch group is formed by the extracted incorrect branch and a correct branch. In the second or re-learning after a predetermined number of times, a selection branch group with a statistically low correct answer rate is given.

  The learning support system according to the present invention is connected to a user terminal via a communication network, transmits problem information to the user terminal, and determines whether the answer is correct based on the answer sent from the user terminal. A learning support system for transmitting the determination result to a user terminal, which stores a plurality of questions with different questions for each problem classification, with identification information for each problem including identification information for the problem classification And means for storing the latest problem implementation time and correct / wrong result for each user problem, and result information for each user including the presence or absence of past incorrect answers, and among a plurality of problems stored for each problem category A problem output means for extracting one problem at random and sending it to the user terminal, and a copy of the problem implemented for each problem belonging to each problem category based on the answer sent from each user terminal. Statistical means for calculating the correct answer rate of the user, and review means for transmitting a problem with the lowest correct answer rate among a plurality of problems belonging to the problem classification when re-learning about the problem classification Features.

  The present invention can be applied to problems other than the multi-branch selection problem by registering a plurality of problems in which the method of questioning is changed for each problem classification.

  The learning support method according to the present invention is connected to a user terminal via a communication network, transmits problem information to the user terminal, determines whether the answer is correct based on the answer sent from the user terminal, A learning support method for supporting user learning using a server that transmits a determination result to a user terminal, wherein a correct branch and a plurality of incorrect branches are selected in a multi-branch selection problem in which a correct branch is selected from a plurality of answer groups. To the server, the latest problem implementation time for each user problem, its correct / incorrect result, and the user-specific result information including the presence / absence of past incorrect answers to the server, and a plurality of stored A number of incorrect branches that are smaller than the stored number are randomly extracted to form a selected branch group together with the correct branches and transmitted to the user terminal; The step of calculating the correct answer rate of multiple users for each selected branch group based on the answer sent from the terminal, and when the same question is executed again, the question that was executed more than a predetermined period before is selected A step of transmitting a selected branch group having the lowest correct answer rate in the branch group, and a step of changing one or more incorrect branch branches of the selected branch group having the highest correct answer rate in the selected branch group. It is characterized by including.

  In the present invention, in particular, by outputting a selected branch group having a correct answer rate equal to or higher than a predetermined value based on statistical data, and changing the incorrect branch of the selected branch group so as not to overlap with other selected branch groups, the efficiency is improved. It is possible to build a high quality problem (choice group).

  The learning support method according to the present invention is connected to a user terminal via a communication network, transmits problem information to the user terminal, and determines whether the answer is correct based on the answer sent from the user terminal. A learning support method for supporting learning of a user using a server that transmits a result of the determination to a user terminal, the step of storing a plurality of problems in which questions are changed for each problem classification in the server, Randomly extracting one question from multiple questions stored for each category and sending it to the user terminal, and each question belonging to each question category based on the answer sent from each user terminal In the step of calculating the correct answer rate of a plurality of users who have executed the problem, and when re-learning about a certain problem category, the correct answer rate becomes the lowest among the plurality of questions belonging to the question category Transmitting a problem, in a classification problem, characterized by comprising the steps of accuracy rate change one or more of the problems equal to or greater than a predetermined value.

  Here, the problem classification means that problems are grouped or grouped regardless of whether the problem genre is small or large. Therefore, a multi-branch selection problem with different selection branches is also included in the problem classification.

  The program according to the present invention is a program that operates on a computer that outputs a question, determines whether the answer is correct based on the input answer, and outputs the determination result. The process of storing multiple questions with different questions, the process of extracting and outputting one of the multiple problems stored for each problem category, and the answers of multiple learners Based on the above, the process of calculating the correct answer rate for each problem belonging to each problem category, and when re-learning about a certain problem category, the problem with the lowest correct answer rate among the multiple problems belonging to that problem category Output processing.

  This computer may be a program that operates on a communication network, or may be a stand-alone computer.

  According to the present invention, effective problems can be created efficiently, and learning efficiency can be improved by preferentially extracting and re-learning problems that are important to each user. Can do.

  Embodiments of the present invention will be described below. FIG. 1 is a functional block diagram of a learning support system and a user terminal that communicates with the system according to the first embodiment of the present invention. In this figure, a learning support system 1 is connected to a user terminal 2 via a communication network 3.

  Here, the learning support system 1 is realized as a server managed and operated by a learning support service provider (hereinafter referred to as a service provider). The user terminal 2 is one or more user terminals for users who receive the service.

  The learning support system 1 includes a transmission / reception unit 11 for transmitting / receiving data via the communication network 3, a central processing unit 12 for processing data received from the transmission / reception unit, a storage unit 13 for storing data, and It comprises an input unit 14 for inputting / outputting data to / from the central processing unit 12 and a display unit 15.

  Further, the central processing unit 12 includes a transmission / reception processing unit 41 that exchanges data with the transmission / reception unit 11, an input / output processing unit 42 that exchanges data with the input unit 14 or the display unit 15, the input unit 14, and transmission / reception. User information registration means 43 for registering user information input via the section 11, problem registration means 44 for registering a learning problem input from the input section 14, and a user received via the transmission / reception section 11 Course setting means 45 for setting a course to be studied, problem output means for reviewing questions (review means) 46, problem extracting means 47 for extracting problems, progress management means 48 for managing the progress of user learning, and various statistics It comprises statistical calculation means 49 for calculating, and review problem registration means 50 for registering problems that the user desires to review. Each means 41-50 is executed by software as a computer function.

  The storage unit 13 includes a problem database (DB) 61 for storing information about problems, a user information database (DB) 62 for storing information about users, a results management database (DB) 63 for storing information about results, A progress management database (DB) 64 for managing the progress of learning by the user is provided.

Next, an outline of the operation of the learning support system will be described.
First, the system administrator registers a problem in the problem DB 61 of the storage unit 13 by the problem registration unit 44.

  The user inputs user information from the input unit 24 of the user terminal 2. The input user information is received and processed by the transmission / reception unit 11 and the transmission / reception processing means 41 of the learning support system 1 via the communication network 3 and stored in the user information DB 62 by the user information registration means 43. When the registration of the user information is completed, the course setting means 45 applies for use of the learning course. The learning course that has been applied to the learnable course in the user information DB 62 by the use application is registered.

  The user accesses the learning support system 1 and selects a learning unit. As a result, the problem extraction unit 47 is activated by the problem output unit 46, and the problem to be presented to the user is extracted from the problem DB 61. The extracted problem is presented to the user via the problem output means 46.

  When an answer is sent from the user terminal 2 to the question that has been presented, the answer output means 46 displays the correctness / incorrectness of the answer, and an explanation is displayed in response to a request from the user terminal 2.

  Also, the review question registration means 50 is activated by pressing a review mark on the learning screen, and the review flag of the question identification number in the grade management DB 63 is set. As a result, when the user reviews, the problem is surely given again and can be re-learned.

  When learning is completed, the progress of learning is registered in the progress management DB 64. At the same time, which learning unit the user learns from when the learning is resumed is recorded for each learning course in the resume record table.

  Statistical calculation means 49 is activated at an arbitrary time point and a time point set by the system administrator, and statistical information such as the correct answer rate and the expected question answer rate for the user's problem is calculated, and the importance and correct answer rate of the problem are updated. The As a result, the order at the time of problem extraction changes, and questions that are important to the user and have a high need for re-learning are presented.

  Further, the user can refer to the degree of progress and statistical information in the learning status of the user by activating the progress management means 48 and the statistical calculation means 49, and can be used as a guide for learning.

Next, the operation of the learning support system 1 will be described in detail.
[Information registration stage]
First, the service provider inputs a problem that the user solves from the input unit 14 of the learning support system 1. The inputted problem is registered in the problem DB 61 of the storage unit 13 via the input / output processing means 42 and the problem registration means 44.

  FIG. 2 is a data configuration example of the problem DB 61. In FIG. 2, the learning course for classifying the problem, the learning unit constituting the learning course, and the information related to the problem identification number, the correct answer, the explanation, the level (difficulty), the importance, and the like are stored. A learning unit consists of multiple questions. Here, the levels (difficulty levels) are classified into three levels of A, B, and C in order from the highest level, and B is set as the specified value. This level asks the user questions and changes depending on the correct answer rate. For example, if the correct answer rate is less than 10%, it is set to level (difficult) A, if the correct answer rate is 10% or more and less than 30%, level (medium) B, and if the correct answer rate is 30% or more, level (easy) ) C. The importance is classified into three levels of A, B, and C, and is a value set by the system administrator depending on the possibility of the question and the question frequency.

  On the other hand, the user applies for use of the learning support system by inputting user information from the input unit 14 of the user terminal 2. The input user information is received and processed by the transmission / reception unit 11 and the transmission / reception processing means 41 of the learning support system 1 via the communication network 3 and registered in the user information DB 62 by the user information registration means 43.

  FIG. 3 is a data configuration example of the user information DB 62. In FIG. 3, the user name, furigana, postal code, telephone number, address, mail address, password, company name, company postal code, company address, job type, learnable course and learnable course associated with the user ID Information such as the status flag is stored. The status flag is represented as 0: invalid, 1: valid.

  Here, the user information is input by the user from the user terminal 2, but the user information is sent to the service provider by mail or the like, and the service provider registers the user information. You may do it.

[Learning course registration / cancellation function]
When registration of user information is completed, the user registers a learning course. A learning course registration screen is displayed on the display unit 25 of the user terminal 2. The user applies for a learning course by selecting a desired learning course on the learning course registration screen. When an application for a learning course is made, the course setting means 45 creates a data storage area for the user in the results management DB 63. At the same time, the course setting means 45 sets the course number for the learnable course in the user information DB 62, and sets 1 (learning) to the status flag associated therewith.

  Registration and cancellation of the learning course can be performed on the learning course management screen when the user desires. When the learning course is canceled, the course setting means 45 changes the subscription flag of the available course in the user information DB 62 to 0. Even after the learning course is deleted, the grade data of the learning course in the grade management DB 63 created at the time of registration of the learning course is not deleted. If the user cancels the learning course and then registers the learning course again, It is used to extract a unit that the user is not good at as a learning result.

  The problem extraction means 47 extracts the correctness / wrongness of the user's problem from the learning results and the correct answer rate of the problem, and presents the user's poor unit by giving the user a question and scoring the problem. Can present a unit to learn dynamically.

  FIG. 4 is a screen view of a learning course registration / deletion screen. In this figure, a user ID, a user name, a learning course, and the like are displayed. A learning course is registered by selecting a learning course name and pressing a registration button. When the learning course is registered, a learning course that can be used by the user is displayed on the display unit 25 of the user terminal 2. After the user registration is completed, the user accesses the learning support system 1 from the user terminal 2 via the communication network 3 using the user ID and password.

  When the user accesses the learning support system 1, the main menu shown in FIG. 5 is displayed, and operations such as learning start, review, statistics display, progress management, learning course registration, and learning course cancellation are performed on the screen. Can do.

[Problem execution stage]
FIG. 6 is a screen view of the learning course selection screen. In this figure, a user ID, a user name, a learning course, a learning unit, and the like are displayed, and learning is started by selecting a learning unit.

  When the learning unit is selected, the problem extraction unit 47 is activated by the problem output unit 46, and the problems of the learnable course that can be used by the user are extracted from the problem DB 61. The extracted problem is output to the display unit 25 of the user terminal 2 by the problem output means 46.

  FIG. 7 is a screen view of the learning screen. In this figure, a learning course and a learning unit ("hardware" in the example in the figure), a problem number ("1-1" in the example in the figure), and a problem are displayed. On this screen, the user can operate the learning problem by pressing buttons such as completion of learning, solving the previous problem, solving the next problem, and requesting review.

  Next, the processing procedure of the problem output means 46 will be described with reference to FIG. The user inputs the user ID and password to the learning support system 1 to access the learning support system (S101). Then, a menu is displayed indicating whether learning is to be performed, statistical display, progress management is displayed, or learning course registration / deletion is performed (S102). The available courses in the user information DB 62 are extracted based on the input user ID, the learning course and the learning unit are displayed (S103), and it is determined whether there is an input of the learning unit that the user learns. (S104). Next, the problem extraction means 47 is activated to execute a problem extraction process (S105). The problem extracted in step S105 is output to the display unit of the user terminal 2 (S106).

  It is determined whether or not there is a comment on the output problem (S107). If there is a comment, a comment is displayed (S108). If there is no comment, it is determined whether there is a review registration request (S109), and if there is a review registration request, 1 is recorded in the review flag of the problem in the grade management DB 63 (S110). Next, it is determined whether or not there is a learning stop request (S111). If there is a learning stop request, the problem number is registered in the resume recording table (S112), and the end process of step S116 is performed. If there is no learning stop request, the unit end is determined (S113). When the unit is finished, the scoring function performs scoring (S114).

  If the unit has not ended, the process returns to step S106 and repeats the process. The learning result of the unit is registered in the result management DB 63 (S115). Then, it is determined whether or not the user finishes learning (S116). If the user wants to end, the end process is performed. If the user does not want to end, the process returns to step S103 to repeat the process.

Next, the processing procedure of the problem extraction unit 47 will be described with reference to FIG.
When the problem extraction unit 47 is activated in response to a request from the problem output unit 46, the problem extraction unit 47 acquires a user ID and a learning unit from the learning support system (S201). Next, it is determined whether there is data related to the learning unit in the results management DB 63 (S202). If there is no data related to the learning unit in the grade management DB 63, it is determined as the first learning, and the problem of the learning unit acquired in step S201 is extracted from the problem DB 61 (S206). Next, the problems extracted in step S206 are randomly sorted (S207). Thereafter, the extracted problem is delivered to the problem output means 46 (S205).

  If data related to the learning unit exists in the grade management DB 63, the problem identification number and the correct answer rate of the learning unit are extracted from the problem DB 61 based on the user ID acquired in step S201 as relearning, and the learning unit 61 The final answer is extracted from the grade management DB 63 (S203).

  Next, based on the extracted result data, a problem is extracted in which the final answer of the user is incorrect and the correct answer rate of the problem is a predetermined value or more (S204). Then, the extracted problem is delivered to the problem output means 46, and the process ends (S205).

  In addition to the above, as a method of extracting a problem, a method of preferentially extracting from the one having a large function value by performing predetermined weighting on factors such as the number of mistakes of the problem and the overall correct answer rate, etc. There is also. In the above procedure, when the user learns again, the problem output unit 46 functions as a review unit.

[Management function when learning is stopped]
The user can cancel learning by pressing a learning cancel button on the learning screen. In this case, the problem output unit 46 records the user ID, the learning course, and the learning unit in the restart recording table of the progress management DB 64. Thereby, even if a user takes time in the learning support system 1 and accesses it, the learning can be resumed from the unit problem solved at the time of the previous access.

  FIG. 10 is a data configuration example of the restart recording table. Information about the learning course, unit, and problem number at the time of resumption is stored for each user.

[Review question registration function]
In addition, when the user wants to repeatedly learn the problem displayed on the screen, the review registration means 50 is activated by pressing the review request button on the learning screen, and the review of the data storage area regarding the problem in the grade management DB 64 is performed. A flag is set. This makes it possible to review the problem whenever the user wishes.

  When a user desires review on the learning course selection screen of the learning support system 1, the problem extraction means 47 searches the results management DB 64, and the problem identification number with the review flag of the learning unit selected by the user is displayed. Extracted. Then, the problem with the problem ID extracted by the problem output means 46 is output.

[Scoring function]
When the user finishes learning the unit, the problem output means 46 collates the correct answer of the problem with the answer result of the user, and the scoring result of correct answer or incorrect answer is displayed on the screen. When the user solves the problem and completes the problem of the learning unit, the statistical calculation means 49 stores the number of executions, the final answer, and the final execution date in the grade management 63, and calculates the correct answer rate, level, and importance. And stored in the problem DB 61.

  FIG. 11 is a screen view of a learning screen (answer display screen). In this figure, a learning course, a learning unit, a problem identification number, a question and answer candidate, a correct answer and an incorrect answer to the user's answer are displayed.

  FIG. 12 is a data configuration example of the results management DB 63. In this figure, information such as a learning course, a learning unit, a problem identification number, the number of executions, a final answer, a final execution date, and a review flag is stored for each user.

[Progress management function]
When the unit learning is completed and graded, the problem output unit 46 activates the progress management unit 48, and the unit, progress, planned learning date, and learning end date are registered in the progress management DB 64.
FIG. 13 is a data configuration example of the progress management DB 64. In this figure, information such as a learning unit and a degree of progress associated with the learning unit, a planned learning date, and a learning end date are stored.

  In response to a progress management screen display request in the main menu, the user starts up the progress management means 48 and displays the correct answer rate and rank for each learning unit on the screen.

  FIG. 14 is a screen configuration diagram of the progress management screen. In this figure, a user ID, a user name, a learning unit learned by the user, and a degree of progress are displayed.

[Statistics function]
The user accesses the learning support system 1 and requests statistical information. Thereby, the statistical calculation means 49 is started, and statistical information such as the rank and correct answer rate for each learning unit is displayed.
FIG. 15 is a screen configuration diagram of the statistical information screen. In this figure, the user ID, the user name, the learning unit, the correct answer rate of the user in the unit, and the rank are displayed.

  As described above, according to the present embodiment, when the user cannot understand the problem, the review questions are extracted in descending order of importance according to the importance of the problem and transmitted to the user terminal. Thus, relearning can be performed effectively.

  Next, a second embodiment will be described. In the present embodiment, an error flag (presence / absence / presence information) indicating whether or not the problem has been mistaken in the past is provided in the results management DB 63, and the final answer is correct even if the answer is correct. The question is given again after a certain period of time.

In the present embodiment, the results management DB 63 and the problem extraction means 47 that are different from the first embodiment will be described.
FIG. 16 is a data configuration example of the results management DB 63. In this figure, information such as a learning course, a learning unit, a problem identification number, the number of executions, a final answer, a final execution date, a review flag, and an error flag is stored for each user.

Next, the processing procedure of the problem extraction unit 47 of this embodiment will be described with reference to FIG.
When the problem extraction unit 47 is activated by the problem output unit 46, the problem extraction unit 47 first acquires a user ID and a learning unit from the learning support system (S301). Next, it is determined whether there is data related to the learning unit in the results management DB 63 (S302). If there is no data related to the learning unit in the grade management DB 63, it is determined as the first learning, and the problem of the learning unit acquired in step S301 is extracted from the problem DB 61 (S312). Then, the extracted problem is sent to the problem output means 46 (S314). When there is data related to the learning unit in the grade management DB 63, the problem identification number, accuracy rate, difficulty level, and importance of the learning unit are extracted from the problem DB 61 based on the acquired user ID, and the final learning unit The execution date and the correct / incorrect information of the final answer are extracted from the grade management DB 63 (S304).

  Next, it is determined whether or not the final answer is correct (S305). If it is not correct, importance 3 of the learning problem is stored in the primary buffer (S311), and the next problem is processed. If the answer is correct in step S305, it is determined whether or not an error flag is set for the question in the grade management DB 63 (S306). If the error flag is not set, that is, if there has been no mistake in the past. (“NO” in S306), the importance of the learning problem is set to 0 (S310), and the next problem is processed.

  If “YES” in the step S306, it is determined whether or not the last execution date extracted in the step S304 is within a predetermined period from the present time (S307). If not within the predetermined period, the importance of the learning problem is determined. Is set to 2 (S309), and the following problem processing is performed. On the other hand, if it is within the predetermined period, the importance of the learning problem is set to 1 (S308). After the above processing is repeated for all the problems to be applied (S303A, S303B), the importance data on the primary buffer is sorted in descending order of importance (3 → 0) (S313), and the problem output means 46 (S314).

  The problem output means 46 transmits the passed problems to the user terminal 2 in order. In step S309, importance 2 may be stored, and information on the implementation date may be stored, and in step S313, the last implementation date may be sorted in order from the oldest.

The importance may be managed as a certain function. For example, for each problem, the value of the function F is calculated for each problem according to the following formula, and is provided as a review problem in descending order of the value.
F = (A + B + C + D) * T
Here, A: Coefficient determined by whether the user has made a mistake or correct answer B: Review review rate for the entire user C: Past mistake rate for the user D: Mistake rate for the entire user T: Previous Elapsed period since the problem was implemented The above means that the function value F is obtained by the product of the sum of the coefficients A, B, C, and D and the period T. The function is not limited to the above equation, but it is effective to have at least each of the above elements as a parameter.

  According to the present embodiment, even if the latest answer is a correct answer, if the problem has been mistaken in the past, it will be reissued after a predetermined period of time, so that the user's memory will be ensured effective.

  In particular, the problem that the user made a mistake is often redoed immediately and it becomes a correct answer. Just because a correct answer is given, it is not immediately excluded from review management. One week later, and again, each time between 3 and 6 months, it will be memorized surely in the back of the brain and the learning effect will be enhanced.

Next, a third embodiment will be described. The present embodiment describes a method for constructing an effective problem DB 61 and providing a problem to the user.
FIG. 18 is a functional block diagram of the learning support system 1 according to this embodiment. The difference from FIG. 1 is that a selected branch group changing means 51 for changing and inputting the selected branch of the multi-branch selection problem is added, and the correct rate table 65 is separately managed in the storage unit 13. Others are the same as those in FIG. 1, and the same elements are denoted by the same reference numerals and description thereof is omitted.

Hereinafter, the difference from the first embodiment will be mainly described.
FIG. 19 is an example of the multi-branch selection problem stored in the problem DB 61. Problem information is stored for each course and unit, and each problem is assigned a problem identification number. In this example, the course code is “A”, the unit number is “1”, and the problem identification number is “0001”.

  Furthermore, each problem is associated with a plurality of selected branch groups, and each selected branch group is assigned a selected branch group number for identifying the selected branch group. For example, in the selected branch group number “1”, branch information “9 times” that is a correct branch and information “3 times” and “6 times” that are incorrect branches are stored. Different incorrect branch branches are stored in the other selected branch group numbers.

  Problem identification information (problem ID) is used to identify each problem and selected branch group. For example, the code “A10001-1” is assigned as the problem ID for the problem and selection branch group in the top column. Here, the first code “A” represents a course, the second “1” represents a unit, and the third to sixth “0001” represents a problem number. “1” after the hyphen represents the identification number of the selected branch group. Note that the code system is not limited to this, and any code system may be used as long as it can identify each of the above elements (course, unit, problem, selection branch group, and the like). Whether a specific element is managed by a code or by a number may be determined as necessary.

  Next, a processing procedure for extracting a problem based on the problem information stored in such a structure will be described with reference to FIG.

  The problem output means 46 sets the argument of the user's course code, unit number, and problem number initial value, and activates the problem extraction means 47.

  The course code and the unit number are input via the user terminal 2, and the initial value of the problem number is stored in the progress management DB 64 so that it can be managed. Such progress management information may be centrally managed with user attribute information in the user information DB 62, or may be individually managed in a restart record table as shown in FIG.

  When activated, the problem extraction means 47 first extracts the course code and unit number as arguments (S401), and further extracts the problem number initial value of the user (S402). Then, the following processing is executed for all questions to be asked (S403A, S403B).

  First, the problem number in the problem ID is extracted (S404), and it is determined whether or not the problem is the first question (S405). In the case of the first implementation, the selected branch group identification number of the problem is randomly determined (S405). S406). Then, the problem number and the selected branch group identification number are passed to the problem output means 46 (S407). The problem output means 46 transmits to the user terminal 2 the problem ID (including the selected branch) determined by the course code, the unit number, the passed problem number, and the selected branch group identification number.

On the other hand, if it is not the first question in step S407, the correct answer rate table 65 is referred to and the one with the lowest correct answer rate is output from the selected branch group of the problem (S408).
An example of the correct answer rate table 65 of FIG. 21 is shown. The correct rate data of the user who implemented the problem is stored for each problem ID.

  In the above processing procedure, as a method of extracting the question number to be questioned in step S404, the question numbers may be serialized and counted up by a counter, or the number of questions Is stored at random, and extracted at random, for example, in the third case, the question is extracted from the questions with the number of questions twice.

Further, instead of the processing in step S405, the total number of executions of the problem may be counted, and the one with the lowest accuracy rate may be selected at random up to a predetermined number of times.
The problem is provided to the user through the above processing.

Next, the processing procedure of the selected branch group changing means 51 will be described with reference to FIG.
When the selected branch group changing means 51 is activated, it first refers to the correct answer rate table 65, extracts the problem ID with the highest correct answer rate (S501), and displays the problem and the selected option group (S502). Then, it is determined whether or not there is a change input from the input unit 14 (S503). If there is a change input, the changed selection branch group is registered (S504), and the accuracy rate table 65 The correct answer rate data of the question ID is reset (S505). Next, it is determined whether or not there is another problem having a correct answer rate equal to or higher than a predetermined value. If there is another problem, the process returns to step S501 and the process is repeated. (S506).

  Through the above processing, by extracting a problem with a high correct answer rate and making a change, it is possible to sequentially correct problems that are not effective so that everyone can correctly answer. Note that the same processing may be performed for a problem in which the correct answer rate is a predetermined value or less. This makes it possible to extract and change problems that are too difficult and problems that are not appropriate, such as unclearness.

  As described above, according to the present embodiment, it is possible for a user (user) to give a highly effective problem even if the problem has the same content at the time of review, and it is statistically effective. Since a low problem can be detected, it is possible to update to an appropriate problem.

  Although the above has described the multi-branch selection problem, it can also be applied to other general problems. For example, as shown in FIG. 23, for each question classification, the question code and the question number are attached to each question issue method (form), and the question information and the answer information are stored in the question DB 61. As a result, when a question belonging to a certain problem category is presented to the user, a problem identification number is first selected at random, and the selected problem is presented to a plurality of users. Then, each correct answer rate is stored in the correct answer rate table 65, and after a predetermined number of times (for example, the second time), questions are asked from a problem with a low correct answer rate. As described above, general questions other than the multi-branch selection problem can be effectively set, and by reexamining the problem based on the correct answer rate information, it is possible to accumulate high quality problems sequentially.

  The present invention is not limited to the above-described embodiment, and various modifications can be made without departing from the spirit of the invention, and the means and elements of each embodiment can be arbitrarily combined as necessary. it can. For example, in the problem DB 61 of FIG. 19, each selected branch group is managed by the selected branch group number. However, as shown in FIG. Corresponding to incorrect branching), data such as the correct answer rate may be provided. In this case, the accuracy rate table 65 becomes unnecessary.

For example, in FIG. 24, among the three incorrect branches for the problem number “0001”, the numbers in parentheses in the column of unextracted incorrect branches correspond to the order in the incorrect branch group. (1) “3 times” means that “3 times” positioned first in the incorrect branch group is not extracted, and other incorrect branch branches are extracted, and questions are given together with the correct branch. That is, not extracted incorrect branch (1), as the choices "9 times, 6 times, 12 times" is question shows that the accuracy rate is 50%. In this way, by managing the unextracted branch and the correct answer rate in association with the order in the incorrect branch group, the task of assigning the selected branch group number each time is not required at the time of problem creation, and the problem creation efficiency is improved. Can be planned.

  The present invention can be implemented as a so-called ASP (Application Service Provider) service that constructs a learning support system with a server connected to a communication network such as the Internet and provides learning problems through a user's mobile phone or terminal. In addition, it can also be used when managing problems and accuracy rates with a stand-alone computer system.

It is a functional block diagram of the learning assistance system by the 1st Embodiment of this invention. It is explanatory drawing of the data structural example of problem DB of FIG. It is explanatory drawing of the data structural example of user information DB of FIG. It is a screen figure of a learning course registration screen. It is a screen figure of a main menu. It is a screen figure of a learning course selection screen. It is a screen figure of a learning screen. (Problem display screen) It is a flowchart which shows the process sequence of the problem output means of FIG. It is a flowchart showing the process sequence of the problem extraction means of FIG. It is explanatory drawing of the data structural example of the restart recording table preserve | saved in progress management DB of FIG. It is a screen figure of a learning screen. (Correct answer display screen) It is explanatory drawing of the data structural example of results management DB of FIG. It is explanatory drawing of the data structural example of progress management DB of FIG. It is a screen figure of a progress management screen. It is a screen figure of a statistics display screen. It is a data structural example of the results management DB in the 2nd Embodiment of this invention. It is a flowchart showing the process sequence of the problem extraction means by the 2nd Embodiment of this invention. It is a functional block diagram of the learning assistance system by the 3rd Embodiment of this invention. It is explanatory drawing of the data structural example of problem DB of FIG. It is a flowchart which shows the process sequence of the problem extraction means of FIG. It is explanatory drawing of the data structural example of the correct rate table of FIG. It is a flowchart which shows the process sequence of the selection branch group change means of FIG. It is explanatory drawing of the data structural example of problem DB by the other Example of FIG. It is explanatory drawing of the data structural example of problem DB by the further further Example of FIG.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Learning support system 2 User terminal 3 Communication network 11, 21 Transmission / reception part 12 Central processing part 13 Storage part 14, 24 Input part 15, 25 Display part 41 Transmission / reception processing means 42 Input / output processing means 43 User information registration means 44 Problem registration means 45 Course setting means 46 Problem output means 47 Problem extraction means 48 Progress management means 49 Statistical calculation means 50 Review question registration means 51 Selected branch group change means 61 Problem (DB) database 62 User information (DB) database 63 Grade Management (DB) database 64 Progress management (DB) database 65 Correct answer rate table

Claims (2)

Connected to a user terminal via a communication network, transmits problem information to the user terminal, determines whether the answer is correct based on the answer sent from the user terminal, and sends the determination result to the user terminal. A learning support system for transmitting,
In a multi-branch selection problem in which a correct branch is selected from a selected branch group consisting of a plurality of selected branches, a correct answer branch and a plurality of incorrect answer branches are stored for each problem, and the problem output means selects among the plurality of incorrect answer branches. a problem DB for storing the accuracy rate in relation to the non-extracted incorrect branch is,
A results management DB that stores the latest problem implementation time and correct / wrong result for each user problem, and result information for each user including the presence or absence of past incorrect answers,
One incorrect branch selected from the plurality of incorrect branches corresponding to a problem in the problem DB is selected as an unextracted incorrect branch , and an incorrect branch other than the unextracted incorrect branch is extracted and extracted. It said issue output means for transmitting the choices group formed by the correct branch of incorrect branch and the problem to the user terminal,
Statistical means for calculating the correct answer rate of a plurality of users for each selected branch group based on the answer sent from each user terminal, and storing it in association with the unextracted incorrect answer branch of the problem DB;
A learning support system characterized by comprising The problem output means, when performing the same problem again, in the choices group learning support system of claim 1, wherein the benzalkonium to send choices group the accuracy rate is lowest.

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