JP6142491B2 - Learning system, program, and learning communication system - Google Patents

Description

  The present invention relates to a learning system, a program, and a learning communication system for learning various subjects such as English using a computer.

  In recent years, with the development of network technologies such as WWW (World Wide Web), a learning method (E-learning) using a network is generally used. In this type of learning system, after the lecture is completed, questions related to the lecture content are given to the learner in order to measure the proficiency level of the learner.

  Recently, application programs (hereinafter referred to as “applications”) for learning various languages using a computer are also provided. In this kind of application, the language can be learned by solving the exercises many times. In this type of learning system, program, or e-learning system, a comprehensive test consisting of multiple subjects is conducted as a method for improving the learning efficiency of the learner. A learning method for overcoming weaknesses by specifying a category (for example, subjects such as “grammar” and “hearing” in English) and focusing on subjects that are not good has been proposed (for example, Patent Document 1). ).

JP 2003-66822 A

  However, in the learning method disclosed in Patent Document 1, although the weak point of the learner can be specified, it is impossible to determine how much the learner is familiar with each subject, and what level (difficulty It is not always possible to improve the learning efficiency because it is not possible to specify whether the learner should learn using the degree problem.

  In particular, when the learning method described in the above-mentioned patent document is adopted, only subjects that are not good at the learner are given questions, so that the learner's weakness in the subject develops and the learner's willingness to learn is impaired. There is a possibility.

  The present invention has been made in order to solve the above-mentioned problems, and the purpose thereof is to promote learning through the subject type of the learner, such as the topic and genre, so that the results are obtained while stimulating the willingness to learn. It is an object of the present invention to provide a learning system or the like that allows a learner to learn at a high level and can improve learning efficiency and improve the ability of the learner.

  (1) In order to solve the above-described problem, a learning system according to the present invention is a learning system for a learner to learn a predetermined field, and correct information indicating individual learning problems and answers to the learning problems. The difficulty level information indicating the difficulty level of the learning problem and the material type information indicating the type of the material used for the learning problem are recorded in association with the problem identification information for identifying the learning problem. Learning problem data management means for managing a database that is stored, determination means for determining a learning problem to be given to the learner from a plurality of learning problems recorded in the database, and learning the determined learning problem Providing means for providing to the learner, obtaining means for obtaining answer data including answer information of the given learning question from the learner, the obtained answer data and the question Based on the correct answer information corresponding to the learning problem, the correctness determination means for executing the correctness determination of the answer to the learning problem, the executed determination result, and the difficulty information of the corresponding learning problem, Updating means for updating the difficulty level reached by the learner in the material type to which the relevant learning problem of the corresponding learner recorded in the database as the proficiency level, and the determining means comprises the relevant learner The learning problem to be given to the learner is determined based on the proficiency level for each subject type.

  With this configuration, the learning system according to the present invention increases the learner's proficiency level for each subject type of the learning problem such as the topic mentioned in the problem in the learning problem or the topic indicating the genre of the learning problem. You can register and determine the learning questions that should be given based on the proficiency level. Therefore, each learning subject is based on the history, such as learning issues that are good for the learner and difficult. Based on the proficiency level (difficulty level) by type, the learning problem can be determined as a learning problem to be set.

  Therefore, the learning system according to the present invention can advance the learning through the subject matter that the learner is good at and stimulates the willingness to learn by using the subject matter that the learner is good at and giving a difficult problem. However, as a result, it is possible to make the learner perform a high level of learning, thereby improving learning efficiency and improving the ability of the learner.

(2) Further, the learning system according to the present invention, when giving the learning question to the learner, a predetermined condition is selected from the proficiency levels of the corresponding learner for each subject type recorded in the database. In addition to specifying the highest level of proficiency to be satisfied, the learning problem having the material information to which the proficiency belongs is determined as a learning problem to be given based on the specified proficiency level.

  With this configuration, the learning system according to the present invention is able to give high-level learning problems using the subject matter that the learner is good at, so that the result is a high level of learning while stimulating learning motivation. It is possible to make the learner improve the learning efficiency and improve the ability of the learner.

(3) Further, the learning system according to the present invention has a configuration in which the determining means determines a question to be given based on the correctness of the learning question given immediately before.

  With this configuration, the learning system according to the present invention gradually gives higher-level learning problems for the subject type that the learner is good at, and does not increase the difficulty level for the subject type that the learner is not good at. Since a learning problem can also be given, the learning problem can be given so as not to decrease the motivation for the poor subject type while increasing the proficiency level for the good subject type.

(4) In the learning system according to the present invention, the highest level of proficiency satisfying a predetermined condition is the highest level specified from all the subject types when the immediately preceding learning problem is correct. If the previous learning problem is incorrect, the highest level of proficiency identified from all other material types excluding the material type to which the previous learning problem belongs is determined. Including the configuration.

  With this configuration, when the learning system according to the present invention correctly answers the immediately preceding learning problem, the problem of the subject type continues to be given, and when the immediately preceding learning problem is incorrect, another learning material Since learning problems can be asked by switching to different types of problems, it is possible to stimulate the learner's motivation and to reduce the motivation as a result, making the learner a high level of learning and learning efficiency. And improve learners' abilities.

(5) The learning system according to the present invention has a configuration that is a topic mentioned in the learning problem or a topic indicating a genre of the learning problem.

  With this configuration, the learning system according to the present invention is referred to in a learning problem, for example, for each topic mentioned in a problem such as “soccer”, “business”, “daily conversation”, or in English In the case of, it is possible to define genres such as "differential integral" and "factorization" as topics in the case of "assuming method", "complete form", or in the case of mathematics, so that the learner has his own interests, or Because the proficiency level for topics that match your preferences will be high, you will be able to stimulate learning motivation and, as a result, make learners learn at a high level and improve learning efficiency and learners' abilities. .

(6) In the learning system according to the present invention, when it is determined by the correctness determination means that the learner has correctly answered the learning problem, the learning history management means The problem material type is specified, and the level of proficiency of the specified material type for the corresponding learner recorded in the database is increased.

With this configuration, when the learner correctly answers the problem, the learning system according to the present invention gradually raises the difficulty of the learning problem and improves the proficiency without giving the learner a sense of incongruity. Can do.

(7) Further, in the learning system according to the present invention, when the correctness determination means determines that the learner has wrongly answered the learning problem, the learning history management means The subject matter type of the learning problem is specified, and the level of proficiency in the specified subject type for the corresponding learner recorded in the database is lowered.

  With this configuration, the learning system according to the present invention lowers the proficiency level of a topic to which the learner belongs to the wrong learning problem, and issues a problem that is difficult and difficult when selecting a learning problem belonging to the topic. , Can reduce the willingness to learn.

(8) In addition, the learning system according to the present invention has a configuration further including a material type setting unit that sets the material type of each learning problem based on a keyword of each learning problem for each problem identification information. ing.

With this configuration, the learning system according to the present invention can automatically identify the material type of each learning problem by analyzing the learning problem such as morphological analysis. Complexity can be suppressed.

(9) The learning system according to the present invention further includes a difficulty level setting unit that sets the difficulty level of each learning problem based on the learning history of the learner for each problem identification information. doing.

  With this configuration, the learning system according to the present invention can automatically identify the difficulty level of each learning problem by analyzing the correct answer rate of each learning problem for all or a predetermined range of learners. The complexity of the manager or the manager who manages the questions can be suppressed.

(10) Further, the learning system according to the present invention further includes communication control means for connecting to the communication terminal device possessed by the learner via a network and performing data communication with the communication terminal device, wherein the providing means comprises: The determined learning problem is provided to the learner via the communication control means, and the acquisition means receives the answer data including answer information of the given learning problem via the communication control means. To obtain from a person.

  With this configuration, the learning system according to the present invention uses a network and can advance learning through the subject matter that the learner is good at without applying a load such as arithmetic processing to the learner's terminal device, and learning efficiency. And improve learners' abilities.

(11) Further, the learning system according to the present invention has a configuration in which the learning problem data management means manages the database while connecting to the database via a network and controlling data communication with the database. doing.

  With this configuration, the learning system according to the present invention can separate a database and a device that provides a learning problem such as a server device using a network, thereby reducing the burden on the server device and facilitating data management. Can be improved.

(11) Further, the learning system according to the present invention has a configuration further comprising recording means for constructing the database.

  With this configuration, the learning system according to the present invention can construct the above system by a stand-alone device such as a personal computer, a smartphone, or a tablet communication terminal device possessed by the learner. The learning system can be used.

(12) Further, the program according to the present invention provides a computer for a learner to learn about a predetermined field, individual learning problems, correct information indicating answers to the learning problems, and difficulty indicating the difficulty of the learning problems. Learning problem data for managing a database in which degree information and material type information indicating the type of the material used for the learning problem are recorded in association with the problem identification information for identifying the learning problem Management means, determination means for determining a learning problem to be given to the learner from a plurality of learning problems recorded in the database, providing means for providing the determined learning problem to the learner, the assigned learning Acquisition means for acquiring answer data including answer information of a question from the learner, based on the acquired answer data and correct information corresponding to the given learning question On the basis of the correctness determination means for executing the correctness / incorrectness determination of the answer to the learning problem, the executed determination result, and the difficulty level information of the corresponding learning problem, the appropriateness recorded in the database as the proficiency level Function as an update means for updating the level of difficulty reached by the learner in the subject type to which the learning problem belongs, and give the learner a question based on the proficiency level of the relevant learner for each subject type The learning problem to be determined is configured to function as the determination means.

With this configuration, the program according to the present invention registers the proficiency level of the learner for each subject type of the learning problem such as the topic mentioned in the problem in the learning problem or the topic indicating the genre of the learning problem. Since it is possible to determine the learning problems that should be given based on the proficiency level, each subject type of each learner based on the history, such as learning problems that are good for the learner and are difficult to learn On the basis of the proficiency level (difficulty level), the learning problem can be determined as a learning problem to be set.

  Therefore, the program according to the present invention can advance learning through the subject matter that the learner is good at, and stimulates the willingness to learn by using the subject matter that the learner is good at and asking highly difficult learning questions. However, as a result, the learner can be made to learn at a high level, thereby improving the learning efficiency and improving the ability of the learner.

(13) The learning communication system according to the present invention is a learning communication system for a learner to learn a predetermined field, and includes a communication terminal device possessed by the learner, the communication terminal device and the network. And a server device for connecting and performing data communication, wherein the server device has individual learning problems, correct information indicating the answers to the learning problems, difficulty information indicating the difficulty of the learning problems, and the learning Learning problem data management means for managing a database in which the material type information indicating the type of the material used for the problem is recorded in association with the problem identification information for identifying the learning problem, and the database Determination means for determining a learning problem to be given to the learner from a plurality of recorded learning problems, and providing the determined learning problem to the communication terminal device of the learner Providing means, obtaining means for obtaining answer data including answer information of the given learning question from the communication terminal device of the learner, correct information corresponding to the obtained answer data and the given learning question On the basis of the correctness determination means for executing the correctness / incorrectness determination of the answer to the learning problem, and based on the executed determination result and the difficulty level information of the corresponding learning problem, it is recorded as the proficiency level in the database. Updating means for updating the difficulty level reached by the learner in the material type to which the learning problem of the corresponding learner belongs, and the determining means determines the proficiency level for each material type of the corresponding learner. Based on this, the learning problem to be given to the learner is determined.

  With this configuration, the learning communication system according to the present invention enables the learner's proficiency level for each subject type of the learning problem such as a topic mentioned in the problem in the learning problem or a topic indicating a genre of the learning problem. Can be determined based on the proficiency level, so that each student's history-based learning problems, such as learning problems that are good for learners and difficult Based on the proficiency level (difficulty level) according to the subject type, the learning problem can be determined as a learning problem to be set.

  Therefore, the learning communication system according to the present invention can advance the learning through the subject matter that the learner is good at, and the motivation to learn by using the subject matter that the learner is good at and giving a difficult learning problem. As a result, it is possible to make the learner learn at a high level as a result while stimulating, thereby improving the learning efficiency and the ability of the learner.

  The learning system, the program, and the learning communication system according to the present invention can advance learning through a subject that the learner is good at, and give a difficult learning problem using the subject that the learner is good at Thus, while stimulating learning motivation, it is possible to cause the learner to learn at a high level as a result, thereby improving learning efficiency and improving the ability of the learner.

It is a system configuration figure showing the composition of the learning communication system in a first embodiment concerning the present invention. It is a block diagram which shows the structure of the server apparatus in one Embodiment. It is a figure which shows an example of the data recorded on the learning problem database in the server apparatus in one Embodiment. It is an example of the learning problem shown to a learner by the problem data in one embodiment. It is a figure which shows an example of the data recorded on the problem metadata database provided in the server apparatus in one Embodiment. It is an image figure which shows notionally the relationship between the problem data in one Embodiment, and problem metadata. It is a figure which shows an example of the data recorded on the answer log | history database provided in the server apparatus in one Embodiment. It is a figure which shows an example of the data recorded on the learning history database provided in the server apparatus in one Embodiment. It is an image figure which shows notionally the problem metadata production | generation process in one Embodiment. It is a flowchart which shows the process performed in the learning communication system in one Embodiment. It is a flowchart which shows the problem determination process performed in the server apparatus in one Embodiment. It is a flowchart which shows the data update process performed in the server apparatus in one Embodiment. FIG. 9 is a diagram (part 1) for explaining an example of a learning problem distribution process including a problem determination process and a data update process in an embodiment; It is FIG. (2) for demonstrating an example of the learning problem delivery process including the problem determination process and data update process in one Embodiment. It is FIG. (3) for demonstrating an example of the learning problem delivery process including the problem determination process and data update process in one Embodiment.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the following embodiments, for a learning communication system having a communication terminal device and a server device connected to the communication terminal device via a network, a learning system, a programgram, and It is embodiment at the time of applying a learning communication system.

[1] Learning Communication System First, the configuration and outline of the learning communication system 1 according to the present embodiment will be described with reference to FIG. FIG. 1 is a system configuration diagram showing the configuration of the learning communication system 1 in the present embodiment. In order to prevent the figure from becoming complicated, only some learners and their communication terminal devices 10 are shown in FIG. That is, in the actual learning communication system 1, there are a larger number of learners and their communication terminal devices 10 than displayed.

  The learning communication system 1 of the present embodiment is a system for providing an e-learning service for various learning problems to a learner. In particular, the learning communication system 1 of the present embodiment categorizes each topic material such as the topic or genre mentioned (hereinafter collectively referred to as “topic”), and individually sets the difficulty level. Is a system that can provide learning problems suitable for learners while managing the difficulty for each learner and for each topic. .

  In general, learners have abundant vocabulary or knowledge about topics (hereinafter referred to as “topics”) that match their own preferences, such as soccer, politics, daily conversation, and business. When a learning question is given, there is a tendency that even if it is a difficult problem, there is a high possibility of being able to answer correctly. For this reason, if the problem is a topic that matches the learner's preference, the challenge can be challenged without impairing the learner's willingness to learn.

  On the other hand, for learning problems that use topics that do not match the learner's preference and are not interested in, there is a tendency for vocabulary and knowledge to be poor and to solve only simple learning problems of low difficulty. For this reason, when learning questions related to topics that the learner is not interested in are continuously presented, or when learning questions with a high degree of difficulty are presented on the topic, the learning level is lower than the learner's learning level. There are many cases where the problem is also incorrect, and the correct answer rate decreases and the learner's willingness to learn tends to be impaired.

  Even in the same subject areas such as grammar and reading in English or differential integration and algebraic geometry in mathematics, there are fields that are good or weak, but in areas where you are good, you will be able to demonstrate your ability. There are many cases where you are not even motivated to learn in your field.

  Therefore, the learning communication system 1 according to the present embodiment manages the learner's answer history with respect to the problem data, and based on the learner's answer history, each learner's proficiency level (maximum difficulty of a question that has been correctly answered in the past). Degree) is managed for each topic such as topic or genre, and the problem belongs to a topic with high difficulty that the learner has correctly answered in the past. The ability of a person can be improved.

  That is, the learning communication system 1 according to the present embodiment is able to give a question with a high degree of difficulty to a problem of a topic that the learner is interested in. It has become possible to improve the ability of.

  Specifically, the learning communication system 1 presents a learning problem to a learner, obtains an answer to the learning problem from the learner, and generates answer data, a network 20, And a server device 30 that provides the communication terminal device 10 with problem data corresponding to various learning problems, and obtains answer data generated in the communication terminal device 10 and determines its correctness. .

  In the present embodiment, the contents of the E-learning service are arbitrary. For example, the MPEG (Moving Picture Experts Group) format or the H.264 format is used. The lecture data created in the H.264 format is distributed to the communication terminal device 10 from the server device 30 by streaming or download, and the learner learns, and thereafter the problem data related to various subjects is transmitted to the communication terminal device. 10 may be distributed to answer the learning problem. In addition, the lecture may be omitted and only the learning questions may be given. Further, for convenience of explanation, in the following explanation, explanation will be made using English subjects relating to grammar, reading, listening, etc. as learning problems to be provided to the learner.

  The communication terminal device 10 is, for example, a communication terminal device such as a PC (Personal Computer), a tablet information terminal device, a smartphone, or a portable game machine, and has a configuration capable of enjoying the provision of an e-learning service. doing. The communication terminal apparatus 10 is connected to the network 20 via the base station BS or directly.

  In addition, the communication terminal device 10 includes resource data for the WWW system described in a markup language such as XML (extensible Markup Language), and a unique URL (Uniform Resource Locator) indicating a network address of the resource data. And a browsing function for performing data communication with the server device 30.

  Then, the communication terminal device 10 acquires problem data from the server device 30 using the browsing function, accepts a learner's answer to the question data, and generates answer data corresponding to the answer. The server device 30 has a configuration to be provided.

  The network 20 is configured by interconnecting a public telephone network including a mobile telephone network and an IP (Internet Protocol) network, for example. However, the configuration of the network 20 is not limited to this.

  The server device 30 includes a recording device 330 having various databases (hereinafter referred to as “DB”) in order to provide an E-learning service to a learner having the communication terminal device 10, and provides an E-learning service. It has a configuration that is provided to learners. Then, in response to a request from the communication terminal device 10, the server device 30 distributes problem data for giving a learning problem to a learner to the communication terminal device 10, and answer data for the learning problem from the communication terminal device 10. And an e-learning service for determining whether the error is correct to the learner.

  In particular, the server device 30 of the present embodiment has a past correct / incorrect determination result (hereinafter referred to as “answer history (test result)”) for each learning problem of each learner, and a history of the learning problems that have been presented (hereinafter referred to as “answer history”). , Referred to as “learning history”), a problem determination process for determining a problem to be distributed to the communication terminal device 10 is executed.

Specifically, the server device 30 of the present embodiment
(1) Problem data in which learning problems corresponding to individual problems are converted into data, correct information indicating answers to the learning problems, and problem identification information for identifying the learning problems (hereinafter referred to as “question ID”) .) And topic information indicating the topic of the learning problem are managed in association with each other, and the learning problem DB 331 is managed.
(2) The metadata DB 332 in which the difficulty level of the learning problem (hereinafter referred to as “difficulty level”), the problem metadata including topic information, and the problem ID of the learning problem are recorded in association with each other. Manage,
(3) Determine a learning problem to be given to the learner from a plurality of learning problems recorded in the learning problem DB 331,
(3) Providing (distributing) problem metadata to the learner along with the determined problem data,
(4) Receive answer data corresponding to the answer to the learning question of the provided question data,
(5) Based on the answer data and correct information in the distributed problem data, the correctness of the answer to the learning question is determined,
(6) Based on the result of correctness determination (hereinafter referred to as “correction determination result”) and information on the level of difficulty of the corresponding problem (hereinafter referred to as “difficulty level information”), the learning problem is determined. Specify the difficulty level (hereinafter referred to as “difficulty level” or “proficiency level”) that the learner of the topic belongs to,
(7) Manage the learning history DB 334 in which the specified proficiency level is recorded for each learner and for each topic,
(8) It has the structure which determines the learning problem to be given to the said learner based on the proficiency of each applicable learner for each topic.

  In particular, with regard to (3), the server device 30 satisfies a predetermined condition from the proficiency level for each topic of the corresponding learner recorded in the learning history DB 334 when the learning question is given to the learner. In addition to specifying the highest level of proficiency, a learning problem having material information to which the proficiency belongs is determined as a learning problem to be presented based on the specified proficiency. The highest level of proficiency that satisfies a predetermined condition includes the highest level of proficiency specified from all the subject types when the previous learning problem is correct, and the previous learning If the problem is incorrect, it includes the highest level of proficiency specified from all other material types except the material type to which the immediately previous learning problem belongs.

  In addition, in the case of (7), when it is determined that the learner has correctly answered the given learning problem, the server device 30 identifies the topic of the given learning problem and is recorded in the learning history DB 334. Raise the level of proficiency of the identified topic for the relevant learner, and if the learner determines that the learner has answered the above-mentioned learning problem incorrectly, identify the topic of the specified learning problem and learn It has a configuration that lowers the level of proficiency in the identified topic for the corresponding learner recorded in the history DB 334.

  By having such a configuration, the learning communication system 1 of the present embodiment increases the learner's proficiency level for each topic that is referred to in the problem in the learning problem, or for each topic that indicates the genre of the learning problem. You can register and determine the learning questions that should be given based on the proficiency level. Therefore, each learning subject is based on the history, such as learning issues that are good for the learner and difficult. Based on the proficiency level (difficulty level) by type, the learning problem can be determined as a learning problem to be set.

  Therefore, the learning communication system 1 according to the present embodiment can advance learning through the subject matter that the learner is good at, and also presents a learning motivation by using the subject matter that the learner is good at and giving highly difficult learning problems. As a result, it is possible to cause the learner to learn at a high level as a result, thereby improving learning efficiency and improving the ability of the learner.

[2] Server Device [2.1] Configuration of Server Device Next, the configuration of the server device 30 according to the present embodiment will be described with reference to FIGS. 2 is a block diagram showing the configuration of the server device 30 of the present embodiment, and FIG. 3 is a diagram showing an example of data recorded in the learning problem DB 331 provided in the server device 30 of the present embodiment. It is. 4 is an example of a learning problem presented to the learner by the problem data of the present embodiment, and FIG. 5 is a diagram of data recorded in the metadata DB 332 provided in the server device 30 of the present embodiment. It is a figure which shows an example. Further, FIG. 6 is an image diagram conceptually showing the relationship between question data and question metadata in the present embodiment, and FIG. 7 is recorded in an answer history DB 333 provided in the server device 30 of the present embodiment. It is a figure which shows an example of data. FIG. 8 is a diagram illustrating an example of data recorded in the learning history DB 334 provided in the server device 30 of the present embodiment.

  As shown in FIG. 2, the server device 30 of the present embodiment includes a communication control unit 310 connected to the network 20, a ROM / RAM 320 functioning as various memories, a recording device 330 having various DBs, and a device A server management control unit 340 that controls the whole, a data processing unit 360 that executes various types of data processing, and a metadata generation unit 362 are included. The above-described units are connected to each other by a bus B, and data transfer is performed between the components.

  The communication control unit 310 is a predetermined network interface, establishes a communication channel with the communication terminal device 10, and exchanges various data. In addition, the communication control part 310 comprises the communication control means of this invention, for example.

  Various programs necessary for driving the server device 30 are recorded in the ROM / RAM 320. The ROM / RAM 320 is used as a work area when various processes are executed.

  The recording device 330 is configured by an HDD or an SSD (Solid State Drive), and at least a learning problem DB 331, a metadata DB 332, an answer history DB 333, and a learning history DB 334 are constructed in the recording area. Is done. For example, each DB of the present embodiment constitutes a database according to the present invention.

  The learning problem DB 331 is a database that records problem data related to various learning problems in a predetermined format. For example, in the learning problem DB 331, as shown in FIG. 3, for each problem ID indicating identification information for identifying each learning problem, a problem data body corresponding to the problem ID, correct answer information of the problem, The correct answer data having the comment information indicating the comment is recorded in association with each other.

  In particular, when the learning problem is a choice-type text subject such as four choices or five choices, the question data main body includes text information indicating the text subject and format information for displaying it, and the correct answer. The data includes correct answer information indicating the number of the correct answer branch and commentary information having text information in which the reason for the correct answer and the incorrect answer branch is described. For example, as shown in FIG. 4, when the learning problem is English, the problem data has a configuration for presenting the learning problem to the learner.

  In the problem data of the present embodiment, the format of the problem data and the question question format are arbitrary. For example, in the case of a learning problem related to grammar and reading, the problem data is composed of text data of selection formulas such as four choices and five choices. In this case, the number selected by the user is the answer, and the data having the answer constitutes answer data described later.

  As for the listening learning problem, the question data is composed of text data for answer selection and voice data that reads out the questioned sentence in a text format, and is written in the sentence data for the voice questions. The answer is selected according to the content.

  The metadata DB 332 is data that accompanies each problem data for each problem data, and has a topic level (subject type) formed by the problem data and a difficulty level set for each learning problem corresponding to the problem data. It is a stored database. For example, in the metadata DB 332, as shown in FIG. 5, the topic information indicating the topic (subject type) used for the corresponding learning problem in association with the problem ID corresponding to each learning problem and the difficulty of the learning problem. The difficulty level information in which the degree level is numerically recorded is recorded as problem metadata. The problem metadata is associated with the problem data and the problem ID as shown in FIG.

  In FIG. 6, problem metadata of the problem topic “soccer” and difficulty level “5” is associated with the problem data of the four-choice grammar problem indicated by the problem ID “567”. In addition, the problem metadata of the four-choice grammar problem indicated by the problem ID “568” is associated with the problem metadata of the problem topic “business” and the difficulty level “5”. It shows that.

  In addition, the difficulty level of the present embodiment is defined so that the difficulty level becomes higher as the value increases in order from “1”.

  The problem metadata according to the present embodiment may be manually set in advance by an E-learning provider or may be generated by a metadata generation process described later. For example, in the metadata generation process, the similarity level of each question data is calculated based on a sample sentence for each topic prepared in advance, and the difficulty level of each learning question is calculated based on the correct answer rate of each whole question data Generate problem metadata by setting.

  The answer history DB 333 is a database for managing questions that each learner has answered in the past, and is a database in which the result of correctness determination for each learning question is recorded as an answer history for each learner. For example, in the answer history DB, as shown in FIG. 7, a learner ID for identifying each learner, a problem ID of a learning problem that the learner has answered in the past, and the learning problem, Result information indicating whether or not the learner has answered correctly is recorded in association with each other.

  In FIG. 7, learning problems “101”, “103”, “104”, and “106” are provided to “learner 1”, and “correct answer”, “incorrect answer”, and “correct answer” are provided, respectively. ”And an answer history indicating the result of“ correct answer ”are stored. The answer history stored in the answer history DB 333 is sequentially added each time the learner solves the problem.

  The learning history DB 334 is a database for managing the learning progress of each learner. For example, in the learning history DB 334, as shown in FIG. 8, for each learner ID of the learner, the learner's topic and the topic belong to the topic, and the learning problem that the learner has answered correctly in the past has been acquired. The maximum value of the degree (difficulty to reach) is recorded in association with the proficiency level information.

  In FIG. 8, “learner 1” has the proficiency level “5” for the topic “soccer”, the proficiency level “3” for “travel”, and the proficiency level “6” for “daily conversation”. This shows a state where the proficiency level “4” and “politics” are correctly answered up to the proficiency level “3”.

  The server management control unit 340 is mainly configured by a central processing unit (CPU), and integrally controls each unit of the server device 30 by executing a program.

  The data processing unit 360 implements various functions by executing various applications. In particular, the data processing unit 360 determines various types of problem data based on answer data determination processing based on answer data acquired via the communication terminal device 10, determination processing of question data to be given to a learner corresponding to the learning problem, E-learning control for executing management of the database and distribution control of problem data to each communication terminal device 10 and reception control of answer data for the problem data is executed. Further, the data processing unit 360 executes a metadata generation process for generating problem metadata of each problem data for executing E-learning.

Specifically, the data processing unit 360 includes, for each function, an E-learning control unit 361 that performs various controls in E-learning, and a metadata generation unit 362 that executes problem metadata generation processing corresponding to each problem. Including at least. The E-learning control unit 361 includes a problem determination unit 363, a correctness determination unit 365, a DB management unit 366, and a distribution control unit 364. The metadata generation unit 362 includes a keyword specifying unit 367, a similarity calculation unit 368, and A topic determination unit 369 is provided.

For example, the problem determination unit 363 of the present embodiment constitutes a determination unit according to the present invention, and the correctness determination unit 365 configures a correctness determination unit according to the present invention. Further, the DB management unit 366 of the present embodiment constitutes learning problem data management means and update means according to the present invention, and the distribution control unit 364 constitutes provision means of the present invention. Further, the metadata generation unit 362 of the present embodiment constitutes a material type setting unit and a difficulty level setting unit.

Details of the E-learning control unit 361 and the metadata generation unit 362 in the data processing unit 360 of this embodiment will be described later.

[2.2] E-Learning Control Unit Next, the E-learning control unit 361 in the data processing unit 360 of the present embodiment will be described.

The E-learning control unit 361 provides an E-learning service to the learner.
(1) Based on each data stored in the metadata DB 332, the answer history DB 333, and the learning history DB 334, a problem determination process for determining a learning problem (specifically, a problem ID) to be given to the learner. Run,
(2) Execute distribution processing for distributing problem data corresponding to the determined learning problem to the communication terminal device 10 via the communication control unit 310;
(3) The reception process which acquires from the communication terminal device 10 the answer with respect to a learner's learning problem as answer data is performed, (4) The correctness determination with respect to a learning problem is performed based on the answer data, and the communication terminal device 10 is correct / incorrect Execute the correctness / incorrectness determination process to notify the result of
(5) Data update processing for updating the answer history DB 333 and the learning history DB 334 is executed based on the result of correctness determination.

  When the problem determination unit 363 receives an instruction to transmit a learning problem from a learner, the problem determination unit 363 searches the learning history DB 334 based on the learner ID of the learner, and determines a problem to be determined for the learner. Execute the process.

  Specifically, the problem determination unit 363 searches for the proficiency level information recorded in the learning history DB 334 in association with the learner ID of the learner, and has the highest proficiency level value (that is, the reach difficulty level). Identify topics with high values as problem topics.

  At this time, when there are two or more topics having the same proficiency and the same proficiency level of the corresponding learner, the problem determination unit 363 randomly identifies any one topic as the problem topic. For example, in this case, the problem determination unit 363 executes a lottery process and identifies one topic as the problem topic.

  At this time, if the immediately preceding learning problem is recorded as an incorrect answer, the problem determining unit 363 identifies a topic different from the immediately preceding learning problem as the problem topic. However, if there is one topic with the highest proficiency level and the topic is the same as the previous learning problem and the topic of the incorrect learning problem, the problem determination unit 363 takes the second value. A topic that is different from the topic of the previous incorrect learning problem is determined as the problem topic.

  After identifying the problem topic, the problem determination unit 363 searches the metadata DB 332 based on the identified problem topic, and is a learning problem belonging to the same topic as the identified problem topic. The problem ID having the same difficulty level as the proficiency level (ie, difficulty level of reach) used at the time of identification is determined as a learning problem to be given to the learner.

  The distribution control unit 364 executes distribution processing for distributing problem data corresponding to the determined learning problem to the communication terminal device 10 via the communication control unit 310.

  Specifically, the distribution control unit 364 searches the learning problem DB 331 based on the problem ID determined by the problem determination unit 363, and reads the problem data having the problem ID. The distribution control unit 364 distributes the read problem data to the corresponding communication terminal device 10 via the communication control unit 310 so that the learner can view the data.

  In addition, the distribution control unit 364 performs a reception process of acquiring the answer to the learning problem of the learner as answer data from the communication terminal device 10 and provides the answer data received and the corresponding question data to the correctness determination unit 365.

  The correctness determination unit 365 executes correctness determination for the learning problem based on the answer data, and executes correctness determination processing for notifying the communication terminal device 10 of the correctness determination result. Specifically, the correctness determination unit 365 compares the answer data acquired from the communication terminal device 10 with the correct answer information included in the corresponding problem data to determine whether or not the learner has correctly answered the learning problem. Determine. Then, the correctness determination unit 365 transmits determination result data to the corresponding communication terminal device 10 via the communication control unit 310 in order to notify the learner of the determination result.

  The DB management unit 366 executes data update processing for updating each data of the corresponding learner in the answer history DB 333 and the learning history DB 334 based on the result of the correctness determination by the correctness determination unit 365.

Specifically, the DB management unit 366 stores in the answer history DB 333 the question ID of the question that has been given and the correctness / incorrectness determination result in association with the learner ID of the learner who executed the answer history DB correct / incorrect determination. To do.

  In addition, when the learner correctly answers the given learning problem, the DB management unit 366 increases the value indicated by the proficiency level information in the same topic as the problem topic of the corresponding learner in the learning history DB 334 by one step higher. Update to The learning history DB, that is, the DB management unit 366 updates the learning history DB 334 so as to increase the level of the learner's proficiency (that is, the reach difficulty level) sequentially each time the learner answers correctly.

  On the other hand, the DB management unit 366 lowers the value indicated by the proficiency level information in the same topic as the problem topic of the corresponding learner in the learning history DB 334 by one step when the learner incorrectly answers the given learning problem. Update to value. That is, the DB management unit 366 updates the learning history DB 334 so that the level of the learner's proficiency (that is, the difficulty of reaching) is sequentially lowered each time the learner makes an incorrect answer.

[2.3] Metadata Generation Unit Next, the metadata generation unit 362 in the data processing unit 360 of this embodiment will be described with reference to FIG. FIG. 9 is an image diagram conceptually showing metadata generation processing executed in the metadata generation unit 362 of the present embodiment.

The metadata generation unit 362 automatically assigns a difficulty level in a learning problem provided by each question data before executing E-learning, and executes a metadata generation process for generating question metadata. Specifically, the metadata generation unit 362 performs, as shown in FIG.
(1) Perform morphological analysis on sample sentences for each topic, execute each keyword (hereinafter referred to as “topic keyword”), the number of appearances thereof, and keyword extraction processing,
(2) Perform morphological analysis etc. on the text (problem sentence) of the target problem data, extract each keyword (hereinafter referred to as “problem keyword”) and the number of appearances thereof,
(3) Based on the number of appearances of the keyword extracted from the problem data and the number of appearances of the keyword extracted in advance in the sample text of each topic, a similarity calculation process for calculating the similarity with each topic is executed,
(4) A determination process for determining the topic having the highest similarity as the topic of the problem data by the similarity calculation process is executed.

  Note that the sample sentences for each topic are manually set in advance by a provider who provides an e-learning service in advance, and the topic keywords and the number of appearances of each sample sentence using a general dictionary while performing morphological analysis. Extract.

  The keyword specifying unit 367 has a general English word dictionary, performs morphological analysis, and extracts each word (keyword) and the number of appearances from the problem sentence. For example, when the learning problem is English, the keyword specifying unit 367 extracts a keyword such as “socer” or “technique” from the problem data as a learning problem keyword and detects the number of appearances as shown in FIG. .

  The similarity calculation unit 368 is based on the keyword (hereinafter referred to as “topic keyword”) and the number of appearances thereof in the sample text for each topic, and the learning problem keyword extracted by the keyword specifying unit 367 and the number of appearances thereof. , Each value of TF-IDF (Term Frequency-Inverse Document Frequency) is calculated. That is, the similarity calculation unit 368 calculates, for each keyword (Keyj) including each topic keyword and learning problem keyword, an inverse number Keyj (IDF) of the total number of appearances and the number of appearances Keyj (TF) in each sample data. The product Keyn (TF / IDF) is calculated. Here, “j” indicates the identification number of the keyword through the topic keyword and the learning problem keyword.

  Then, the similarity calculation unit 368 calculates the similarity between the problem data and each sample data based on the distance in the vector space. For example, the similarity calculation unit 368 calculates the cosine similarity sim by (Equation 1) for each of the problem data and each sample data.

  “A” is a vector of appearance ratios for each of the problem keyword and topic keyword in the problem data as shown in (Expression 2), and “Bn” is each sample data (n) shown in (Expression 3). Is a vector of appearance ratios for each of the problem keyword and topic keyword. “N” indicates the identification number of the sample sentence for each topic, and “tj” and “sj” indicate the ratio of the number of appearances of each word.

The topic determination unit 369 determines the topic to which the sample sentence having the highest similarity calculated by (Equation 1) belongs as the topic of the problem data, the determined topic, and a preset problem Generate problem metadata based on the difficulty level in the data. Then, the topic determination unit 369 stores the generated problem metadata in the metadata DB 332 in association with the problem ID corresponding to the learning problem.

  In addition, when automatically assigning the difficulty level in each question data, the correct answer rate for all learners is calculated sequentially, and the difficulty level of each learning question is calculated by comparing a predetermined threshold value to obtain metadata. You may register in DB332. In this case, the difficulty level of each learning problem is updated as appropriate.

[3] Operation of Learning Communication System [3.1] Learning Problem Distribution Process Next, a learning problem distribution process for distributing learning problems to be executed in the learning communication system of the present embodiment to the communication terminal device 10 using FIG. Will be described.

  In addition, FIG. 10 is a flowchart which shows the learning problem delivery process performed in the learning communication system 1 of this embodiment.

  In this operation, it is assumed that the data illustrated in FIGS. 3, 5, 7, and 8 is stored in advance in each DB of the server device 30, and the learning of the corresponding learner is stored in the ROM / RAM 320. It is assumed that the person ID is registered. Further, the communication terminal device 10 has already accessed the E-learning site (that is, the server device 30) by executing login processing and other processing based on the password, and is ready to start E-learning. To do.

  First, when the communication terminal apparatus 10 detects an input operation for starting e-learning by a learner (step S100), the communication terminal apparatus 10 transmits a learning problem distribution request to the server apparatus 30 and waits for reception of problem data (step S100). S101).

  Next, when the communication control unit 310 receives a learning problem distribution request in the server device 30 (step S200), the E-learning control unit 361 executes a problem determination process (step S201), and the determination is made based on the process. The question data is distributed to the communication terminal device 10 and the answer data reception standby state is set (step S202). The E-learning control unit 361 stores in the ROM / RAM 320 the problem ID of the problem data determined by the problem determination process, each piece of information of the problem data, and topic information of the problem topic.

  Next, when receiving the question data (step S102), the communication terminal device 10 waits for input of answer data by the learner while browsing and displaying the question data to the learner (step S103).

  Next, when the communication terminal device 10 accepts an answer to the learning problem by the learner (step S104), the communication terminal device 10 generates answer data corresponding to the accepted answer, transmits the answer data to the server device 30, and the correctness determination result. Is waited for (step S105).

Next, in the server device 30, when the communication control unit 310 receives the answer data (step S 203), the E-learning control unit 361 reads out the correct answer information of the question read from the learning question DB 331 and stored in the ROM / RAM 320 and the relevant answer information. Based on the received answer data, correctness determination is executed (step S204).

Next, the E-learning control unit 361 notifies the communication terminal apparatus 10 of the result of correctness determination together with correct answer information and answer information stored in the ROM / RAM 320 (step S205).

  Next, the E-learning control unit 361 performs a data update process for updating the answer history DB 333 and the learning history DB 334 based on the result of correctness determination (Step S206), and ends this operation. Details of the data update process in the E-learning control unit 361 will be described later. When the server device 30 ends this operation, the server device 30 enters a reception standby state in the problem data distribution request while maintaining the login state of the learner.

  Next, when receiving the correct / incorrect determination result for the answer to the learning question transmitted from the server device 30 (step S106), the communication terminal device 10 displays the received determination result together with the correct answer information and the answer information so that the learner can view it. Then, it waits for the end of E-learning or the input of the next learning problem distribution request (step S107).

  Next, the communication terminal device 10 determines the end of E-learning or the input of the next learning problem distribution request based on the learner's operation (step S108), and the learner's operation is the next learning problem distribution request. If it is determined that the learning operation is not the next learning problem distribution request but the end of the e-learning, it is indicated to the learner. (Step S109) and the operation is terminated.

[3.2] Problem Determination Process Next, the problem determination process (step S201) included in the problem distribution process of this embodiment will be described in detail with reference to FIG. FIG. 11 is a flowchart showing the problem determination process executed in the E-learning control unit 361 of this embodiment.

First, the E-learning control unit 361 searches the answer history DB 333 based on the learner ID stored in the ROM / RAM 320 (that is, the learner ID of the learner who has logged into the E-learning service), and is delivered immediately before. The correctness / incorrectness determination result of the learning problem is read (step S401).

Next, when the learning problem delivered immediately before is correct, the E-learning control unit 361 searches the learning history DB 334 and satisfies a predetermined condition from the proficiency level for each subject type of the corresponding learner. The highest level of proficiency (difficulty level) is specified (step S402).

Specifically, the E-learning control unit 361 identifies the topic having the highest level of proficiency (reachability level) from all the topics for the corresponding learner when the previous learning problem is correct. When the immediately preceding learning problem is an incorrect answer, the topic having the highest level of proficiency (reachability) specified from all other topics except the topic to which the immediately preceding learning problem belongs is specified. At this time, when there are a plurality of identified topics, the E-learning control unit 361 reads all of the topics from the learning history DB 334.

  Next, the problem determination unit 363 of the E-learning control unit 361 determines whether or not there are a plurality of read topics (step S403). If it is determined that there is only one topic, the topic is determined as a problem topic. Specify (step S404).

On the other hand, when it is determined that there are a plurality of selected topics, the E-learning control unit 361 executes a predetermined lottery process based on the answer history stored in the answer history DB 333 and determines the selected topic as a problem A topic is specified (step S405).

Next, the E-learning control unit 361 searches the learning history of the corresponding learner, reads the proficiency level of the same topic as the identified problem topic (step S406), and reads the proficiency level belonging to the problem topic from the learning problem DB 331 A problem ID having the same difficulty level as the difficulty level indicated by is selected (step S407) and the operation is terminated.

[3.3] Data Update Process Next, a data update process for updating each data of the corresponding learner executed in the above-described step S206 in the E-learning control unit 362 of the present embodiment will be described with reference to FIG. FIG. 12 is a flowchart showing an operation of data update processing for updating each data of the corresponding learner executed in the E-learning control unit 362 of the present embodiment.

  This operation is a data update process for updating the answer history DB 333 and the learning history DB 334 based on the result of correctness determination executed in the process of step S206 described above.

  First, the E-learning control unit 361 determines whether or not the learner's answer is correct based on the correct / incorrect determination result (step S301). If the e-learning control unit 361 determines that the answer is correct, the process proceeds to step S302. If it is determined that the answer is correct, the process proceeds to step S311.

  Next, when it is determined that the learner's answer is correct in the process of step S301, the E-learning control unit 362 and the learner's learner ID stored in the ROM / RAM 340 and the question ID of the learning problem presented Based on the above, the result information “correct answer” is added to the answer history DB 333 (step S302).

  Next, the E-learning control unit 362 determines the proficiency level of the corresponding topic of the corresponding learner ID (that is, a value indicating the difficulty level) based on the problem ID and topic information stored in the ROM / RAM 320. The level is updated to a higher level (step S303), and this operation is terminated.

  Next, if the e-learning control unit 362 determines that the learner's answer is incorrect in the process of step S301, the learner's ID stored in the ROM / RAM 340 and the problem of the learning problem presented. Based on the ID, result information “incorrect answer” is added to the answer history DB 333 (step S311).

  Next, the E-learning control unit 362 determines the proficiency level of the corresponding topic of the corresponding learner ID (that is, a value indicating the difficulty level) based on the problem ID and topic information stored in the ROM / RAM 320. The level is updated to a lower level (step S312), and this operation is terminated.

[3.4] Processing Example of Learning Problem Distribution Process Including Problem Determination Process and Data Update Process Next, a learning problem distribution process including a problem determination process and a data update process in the present embodiment will be described with reference to FIGS. A processing example will be described. 13 to 15 are diagrams for explaining an example of the learning problem distribution process including the problem determination process and the data update process in the present embodiment.

  A processing example of the data update processing in the E-learning control unit 362 according to the present embodiment is as follows. However, the processing example in the following data update process assumes a case where a learning problem of the topic “soccer” and a proficiency level “5” is presented in the first learning problem for learner A.

  First, as shown in FIG. 13, if the problem topic in the first learning problem is “soccer” and the proficiency level is “5” in step 1, the e-learning control unit 362 in step 2 is correct. Updates the level of proficiency in the topic of learner A from “5” to “6”.

  In this state, when the second learning problem is requested, the e-learning control unit 362 identifies the topic “soccer” having the highest skill level as the problem topic, and the problem topic is The problem ID having the same difficulty level “6” as the difficulty level “6” indicated by the proficiency level in “soccer” is determined as a learning problem to be distributed.

  When the E-learning control unit 362 corrects the second learning problem in the same manner as the first learning problem in step 2, as shown in FIG. 14, in step 3, the E-learning control unit 362 Then, the proficiency level of the learner A in the topic “soccer” is updated from “6” to “7”, and the problem ID having the difficulty level “7” in the topic “soccer” is determined as the learning problem to be distributed. .

  On the other hand, as shown in FIG. 13, when an incorrect answer is found in the first learning problem, the E-learning control unit 362 updates the level of proficiency in the topic of the learner A from “5” to “4”.

  In such a state, when the second learning problem is requested, the E-learning control unit 362 is a topic that has the highest proficiency level and is not the problem topic that is incorrect in the immediately preceding learning problem. Is identified as a problem topic, and the problem topic is “daily conversation”, and a problem ID having the same difficulty level “4” as the difficulty level “4” indicated by the proficiency level is distributed. Decide on the learning problem to be done.

  If the E-learning control unit 362 correctly answers the second learning problem, as shown in FIG. 15, in step 3, the E-learning control unit 362 determines the proficiency level of the learner A in the topic “daily conversation”. When the level is updated from “4” to “5” and the problem ID having the difficulty level “5” in the topic “daily conversation” is determined as the learning problem to be distributed, the second learning problem is incorrect The e-learning control unit 362 updates the level of proficiency in the topic “daily conversation” of the learner A from “4” to “3”, and assigns the problem ID having the difficulty level “4” in the topic “soccer” Decide on learning problems to be delivered.

  As described above, the learning communication system 1 of the present embodiment registers the proficiency level of the learner for each topic of the learning problem such as the topic mentioned in the problem in the learning problem or the topic indicating the genre of the learning problem. , Because it is possible to determine the learning questions that should be given based on the proficiency level, learning by each topic of each learner based on the history, such as learning problems that are good for learners and difficult Based on the degree (difficulty level), the learning problem can be determined as a learning problem to be set.

  Therefore, the learning communication system 1 according to the present embodiment can advance learning through the subject matter that the learner is good at, and also presents a learning motivation by using the subject matter that the learner is good at and giving highly difficult learning problems. As a result, it is possible to cause the learner to learn at a high level as a result, thereby improving learning efficiency and improving the ability of the learner.

  In particular, the learning communication system 1 according to the present embodiment can give high-level learning problems using the subject matter that the learner is good at, so that a high level of learning is achieved while stimulating learning motivation. It is possible to make the learner improve the learning efficiency and improve the ability of the learner.

  Further, the learning communication system 1 of the present embodiment continuously issues the problem of the subject type when the previous learning problem is correctly answered, and other problems when the answer is incorrect to the immediately preceding learning problem. Since learning problems can be asked by switching to different types of problems, it is possible to stimulate the learner's motivation and to reduce the motivation as a result, making the learner a high level of learning and learning efficiency. And improve learners' abilities.

[4] Modification [4.1] Modification 1
In the above embodiment, each DB is provided in the server device 30 for management and control. However, the computer systems that manage and control each DB are each operated by a separate computer system and have a network. Data communication may be performed via the network.

[4.2] Modification 2
In the above-described embodiment, the metadata generation unit 362 is provided in the server device 30. However, a dedicated computer that executes the problem metadata generation process may be provided. The problem metadata generation process needs to be executed before the problem determination process, but can be executed when the learner logs in.

[4.3] Modification 3
In the above-described embodiment, the communication terminal device 10, the server device 30, and the network 20 are provided, and the e-learning service is provided via the network 20, but similar to the various DBs 331 to 334 of the server device 30. The application for realizing the DB and the E-learning control unit may be installed in a PC, a tablet information terminal device, or a smartphone, and the learning system may be configured by the device alone.

DESCRIPTION OF SYMBOLS 1 ... Learning communication system 10 ... Communication terminal device 20 ... Network 30 ... Server apparatus 310 ... Communication control part 320 ... ROM / RAM
330 ... Recording device 331 ... Learning problem DB
332 ... Metadata DB
333 ... Answer history DB
334… Learning history DB
340 ... Server management control unit 360 ... Data processing unit 361 ... E-learning control unit 362 ... Metadata generation unit 363 ... Problem determination unit 364 ... Distribution control unit 365 ... Correctness determination unit 366 ... DB update management unit 367 ... Keyword determination unit 368 ... Similarity calculation unit 369 ... Topic determination unit

Claims (13)

A learning system for learners to learn about a given field,
Each learning problem, correct information indicating the answer to the learning problem, difficulty information indicating the difficulty of the learning problem, and material type information indicating the type of the material used for the learning problem are the learning problem. Learning problem data management means for managing a database recorded in association with problem identification information for identifying

Determining means for determining a learning problem to be given to the learner from a plurality of learning problems recorded in the database;
Providing means for providing the determined learning problem to the learner;
Obtaining means for obtaining answer data including answer information of the given learning question from the learner;
Correct / incorrect determination means for executing correct / incorrect determination of an answer to the learning problem based on the acquired answer data and correct information corresponding to the given learning problem;
Based on the executed determination result and the difficulty level information of the corresponding learning problem, the learner in the subject type to which the learning problem of the corresponding learner recorded in the database belongs as the proficiency level has arrived An updating means for updating the difficulty level;
With
The determining means is
Specifying the highest level of proficiency satisfying a predetermined condition from the proficiency for each subject type of the corresponding learner recorded in the database when giving the learning question to the learner,
A learning system characterized in that, based on the specified proficiency level, a learning problem having material information to which the proficiency level belongs is determined as a learning problem to be presented . The learning system according to claim 1 ,

The learning system, wherein the determining means determines a question to be given based on the correctness of the learning question given immediately before. The learning system according to claim 2 ,

For the highest level of proficiency that meets certain criteria,
If the previous learning question is correct, it includes the highest level of proficiency identified from all subject types,
A learning system that includes the highest level of proficiency specified from all other material types except the material type to which the immediately previous learning problem belongs when the previous learning problem is incorrect. The learning system according to any one of claims 1 to 3 ,
The learning system, wherein the material type is a topic mentioned in the learning problem or a topic indicating a genre of the learning problem. In the learning system according to any one of claims 1 to 4 ,

When it is determined by the correctness determination means that the learner has correctly answered the given learning problem, the update means identifies the subject type of the assigned learning problem, and is recorded in the database. A learning system that raises the proficiency level of the specified subject type for learners. In the learning system according to any one of claims 1 to 5 ,

When it is determined by the correctness determination means that the learner has wrongly answered the learning question that has been given, the updating means identifies the material type of the given learning problem and is recorded in the database A learning system that lowers the level of proficiency in the identified subject type for the relevant learner. The learning system according to any one of claims 1 to 6 ,

A learning system, further comprising: a subject type setting unit that sets the subject type of each learning problem based on a keyword of each learning question for each of the problem identification information. In the learning system according to any one of claims 1 to 7 ,

A learning system further comprising difficulty level setting means for setting the difficulty level of each learning problem based on the learning history of the learner for each problem identification information. The learning system according to any one of claims 1 to 8 ,

A communication control unit that connects to the communication terminal device of the learner via a network and performs data communication with the communication terminal device;
The providing means provides the determined learning problem to the learner via the communication control means,
The learning system in which the acquisition unit acquires answer data including answer information of the given learning question from the learner via the communication control unit. The learning system according to any one of claims 1 to 8 ,

A learning system in which the learning problem data management means is connected to the database via a network and manages the database while controlling data communication with the database. The learning system according to any one of claims 1 to 8 ,

A learning system further comprising recording means for constructing the database. A computer for learners to learn about a given field,
Each learning problem, correct information indicating the answer to the learning problem, difficulty information indicating the difficulty of the learning problem, and material type information indicating the type of the material used for the learning problem are the learning problem. Learning problem data management means for managing a database recorded in association with problem identification information for identifying

A determination means for determining a learning problem to be given to the learner from a plurality of learning problems recorded in the database;
Providing means for providing the determined learning problem to the learner;
Obtaining means for obtaining answer data including answer information of the given learning question from the learner;
Correct / incorrect determination means for executing correct / incorrect determination of an answer to the learning problem based on the acquired answer data and correct information corresponding to the given learning problem,
Based on the executed determination result and the difficulty level information of the corresponding learning problem, the learner in the subject type to which the learning problem of the corresponding learner recorded in the database belongs as the proficiency level has arrived An update means for updating the difficulty level,
And function as
The determining means is
Specifying the highest level of proficiency satisfying a predetermined condition from the proficiency for each subject type of the corresponding learner recorded in the database when giving the learning question to the learner,
A program characterized in that, based on the specified proficiency level, a learning problem having material information to which the proficiency level belongs is determined as a learning problem to be presented . A learning communication system for a learner to learn a predetermined field,
A communication terminal device possessed by the learner;
A server device connected to the communication terminal device via a network and performing data communication;
With
The server device is
Each learning problem, correct information indicating the answer to the learning problem, difficulty information indicating the difficulty of the learning problem, and material type information indicating the type of the material used for the learning problem are the learning problem. Learning problem data management means for managing a database recorded in association with problem identification information for identifying

Determining means for determining a learning problem to be given to the learner from a plurality of learning problems recorded in the database;
Providing means for providing the determined learning problem to the communication terminal device of the learner;
Obtaining means for obtaining answer data including answer information of the given learning question from the communication terminal device of the learner;
Correct / incorrect determination means for executing correct / incorrect determination of an answer to the learning problem based on the acquired answer data and correct information corresponding to the given learning problem;
Based on the executed determination result and the difficulty level information of the corresponding learning problem, the learner in the subject type to which the learning problem of the corresponding learner recorded in the database belongs as the proficiency level has arrived An updating means for updating the difficulty level;
With
The determining means is
Specifying the highest level of proficiency satisfying a predetermined condition from the proficiency for each subject type of the corresponding learner recorded in the database when giving the learning question to the learner,
A learning communication system characterized in that, based on the identified proficiency level, a learning problem having material information to which the proficiency level belongs is determined as a learning problem to be presented .

Images