Information processing device, information processing system, program and information processing method

Abstract

To provide an information processing device in which a user can perform systematic learning while understanding an overall image about a position of a bad field in all fields which the user tries to learn.SOLUTION: An information processing device 1 comprises a knowledge graph display control unit 11, and a teaching material display control unit 17. The knowledge graph display control unit 11 controls to display a knowledge graph in which nodes relevant about a learning field category are connected by an edge, among a plurality of nodes indicating the learning field category. Moreover, the teaching material display control unit 17 controls to display a problem and / or a teaching material belonging to a specific learning field category presented to a user.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to an information processing device, an information processing system, a program, and an information processing method. [Background technology]

[0002] Conventionally, a learning system is known that tallies the number of correct answers based on a true / false judgment for each attribute of a question, and from the results of the tally, identifies weak attributes with few correct answers or many incorrect answers, and selects questions from among those with weak attributes (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2014-157302 A Summary of the Invention [Problem to be solved by the invention]

[0004] According to the learning system described in Patent Document 1, the user can recognize problems that he / she is weak at and concentrate on solving problems in the weak areas. However, he / she cannot understand the position of the weak areas in the whole range of the learning that he / she is trying to do, or the relationship with other areas. The user can only continue to solve problems, and there are cases where he / she cannot obtain systematic knowledge.

[0005] The present disclosure has been made in consideration of the above-mentioned situation, and aims to provide an information processing device that enables a user to systematically study while understanding the overall position of their weak areas among all the areas they are trying to study. [Means for solving the problem]

[0006] The present inventors have conducted extensive research to solve the above-mentioned problems. As a result, the inventors have found that an information processing device that includes a knowledge graph display control unit and a teaching material display control unit, in which the knowledge graph display control unit controls to display a knowledge graph in which, among a plurality of nodes indicating learning field categories, nodes that are related to the learning field category are connected by edges, and the teaching material display control unit controls to display questions and / or teaching materials that belong to a specific learning field category to be presented to the user, enables systematic learning while understanding the overall position of a weak area among all areas, and has completed the technology of the present disclosure. Specifically, the present disclosure provides the following technology.

[0007] (1) A knowledge graph display control unit and a teaching material display control unit are provided, the knowledge graph display control unit controls to display a knowledge graph in which, among a plurality of nodes indicating learning field categories, the nodes that are related to the learning field categories are connected by edges; The teaching material display control unit controls display of questions and / or teaching materials belonging to a specific learning field category to be presented to the user. Information processing device.

[0008] (2) further comprising a knowledge graph update unit; The knowledge graph update unit updates the appearance of the node according to the domain understanding degree. The information processing device according to (1).

[0009] (3) further comprising a domain understanding degree determination unit; The subject matter understanding degree determination step includes determining a subject matter understanding degree for each of the users for each of the learning subject matter categories. The information processing device according to (1) or (2).

[0010] (4) The field understanding level determination unit determines the field understanding level for each of the learning field categories according to the score results of questions belonging to the learning field category and / or the progress of the learning material and / or information provided by the user. The information processing device according to (3).

[0011] (5) Further establish a teaching materials creation department; The teaching material creation unit creates questions and / or teaching materials that belong to the learning field of each of the nodes in the knowledge graph. The information processing device according to (1) or (2).

[0012] (6) A knowledge graph display control unit and a teaching material display control unit are provided, the knowledge graph display control unit controls to display a knowledge graph in which, among a plurality of nodes indicating learning field categories, the nodes that are related to the learning field categories are connected by edges; The teaching material display control unit controls display of questions and / or teaching materials belonging to a specific learning field category to be presented to the user. Information processing system.

[0013] (7) operating the computer as a knowledge graph display control unit and a teaching material display control unit; the knowledge graph display control unit controls to display a knowledge graph in which, among a plurality of nodes indicating learning field categories, the nodes that are related to the learning field categories are connected by edges; The teaching material display control unit controls display of questions and / or teaching materials belonging to a specific learning field category to be presented to the user. program.

[0014] (8) A knowledge graph display control step and a teaching material display control step are provided, In the knowledge graph display control step, a knowledge graph is displayed in which, among a plurality of nodes indicating learning field categories, the nodes related to the learning field categories are connected by edges; The display control step controls the display of questions and / or teaching materials belonging to a specific learning field category to be presented to the user. Information processing methods. [Brief description of the drawings]

[0015] [Figure 1] 1 is a schematic diagram for explaining a method of using an information processing device according to the present disclosure. [Diagram 2] FIG. 1 is a schematic diagram illustrating a usage environment of an information processing device according to the present disclosure. [Diagram 3] 1 is a schematic diagram illustrating a functional configuration of an information processing device according to the present disclosure. [Figure 4] 11 is a schematic diagram for explaining an operation method when a user interface including a knowledge node generated by an information processing device of the present disclosure is displayed on a display device. FIG. [Diagram 5] 1 is a schematic diagram showing a hardware configuration of an information processing device 1 according to the present disclosure. [Figure 6] 1 is a flowchart of an information processing method according to the present disclosure. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0016] Hereinafter, embodiments of the present disclosure will be described, but the present disclosure is not limited to the description of the embodiments and can be implemented by making appropriate modifications. In addition, the respective configurations shown in the following embodiments can be combined with each other.

[0017] The program for realizing the software of this embodiment may be provided as a non-transitory computer-readable recording medium, or may be provided so as to be downloadable from an external server, or may be provided so that the program is started on an external computer and its functions are realized on a client terminal (so-called cloud computing).

[0018] In addition, in this embodiment, the term "unit" may include, for example, a combination of hardware resources implemented by a circuit in the broad sense and software information processing that can be specifically realized by these hardware resources. In addition, in this embodiment, various information is handled, and this information is represented, for example, by physical values ​​of signal values ​​representing voltage and current, high and low signal values ​​as a binary bit collection consisting of 0 or 1, or quantum superposition (so-called quantum bits), and communication and calculation can be performed on the circuit in the broad sense.

[0019] In addition, a circuit in the broad sense is a circuit realized by at least appropriately combining a circuit, circuitry, a processor, a memory, etc. In other words, it includes an application specific integrated circuit (ASIC), a programmable logic device (e.g., a simple programmable logic device (SPLD), a complex programmable logic device (CPLD), and a field programmable gate array (FPGA)), etc.

[0020] <Information processing device> The information processing device of the present disclosure includes a knowledge graph display control unit and a teaching material display control unit. The knowledge graph display control unit controls to display a knowledge graph in which, among a plurality of nodes indicating learning field categories, nodes related to the learning field categories are connected by edges. The teaching material display control unit controls to display questions and / or teaching materials belonging to a specific learning field category presented to the user.

[0021] FIG. 1 is a schematic diagram for explaining a method of using an information processing device of the present disclosure. For example, an administrator of this information processing device inputs data provided in various formats, such as videos, images, URLs, and PDFs, into the information processing device in advance, and causes the information processing device to learn. In this learning, knowledge obtained from the input data is allocated to each node of a knowledge graph prepared in advance. The user clicks on a node of a learning field that the user is good at or weak at, and the questions belonging to that learning field are displayed. Depending on the content of the answer, feedback is given to the knowledge graph, and the size of the node is changed.

[0022] Fig. 2 is a schematic diagram for explaining the usage environment of the information processing device of the present disclosure. The information processing device 1 shown in Fig. 1 is connected to computers C1, C2, and C3 of users U1, U2, and U3 via an Internet line. The information processing device 1 provides knowledge nodes in a learning field to users U1, U2, and U3.

[0023] 3 is a schematic diagram showing a functional configuration of the information processing device of the present disclosure, which will be described below with reference to FIG.

[0024] The information processing device 1 disclosed in Figure 3 includes a knowledge graph generation unit 10, a knowledge graph display control unit 11, a text conversion unit 12, a text association unit 13, a teaching material creation unit 14, a teaching material display instruction receiving unit 15, a teaching material selection unit 16, a teaching material display control unit 17, an answer receiving unit 18, an answer scoring unit 19, a teaching material progress acquisition unit 20, a field understanding level determination unit 21, and a knowledge graph update unit 22.

[0025] [Knowledge Graph Generation Unit] The knowledge graph generating unit 10 generates a knowledge graph in which, among a plurality of nodes indicating learning field categories, nodes that are related to each other in terms of learning field categories are connected by edges.

[0026] (Knowledge Graph) The knowledge graph generated by the knowledge graph generation unit is a graph in which nodes related to each other in terms of learning field categories are connected by edges.

[0027] Specifically, the method of generating a knowledge graph is not particularly limited, but for example, learning field categories are vectorized (quantified), a threshold is set for the distance between the vectors of two learning field categories, and if the distance is within the threshold, an edge is set between the nodes of the two learning field categories, and if the distance is outside the threshold, no edge is set between the nodes of the two learning field categories.

[0028] The vectorization method is not particularly limited, but may be a method of vectorization based on text data related to a learning field category.

[0029] It should be noted that the knowledge graph does not necessarily have to be generated by the information processing device 1, and may be generated manually or by another device.

[0030] [Knowledge graph display control unit] The knowledge graph display control unit 11 controls the display of the knowledge graph generated by the knowledge graph generation unit on the display unit of the user's computer (terminal).

[0031] Specifically, the knowledge graph display control unit 11 converts the knowledge graph into a signal and transmits it to the user's computer (terminal).

[0032] [Text conversion section] The text conversion unit 12 is a part that converts knowledge data provided in various formats (video, image, audio, URL, PDF) related to any node of the knowledge graph into text.

[0033] Such data is used to learn knowledge belonging to each learning category. Data provided in various formats can be converted into text by the text conversion unit 12, making it easy to study.

[0034] When converting the provided data, you can use a tool that recognizes video, images, and audio. In the case of a URL, you can extract the link destination, and in the case of a PDF text, you can extract the text data itself, and in the case of other formats, you can use a tool that recognizes each format.

[0035] Note that if the data provided is text data, text conversion is not essential. Also, text conversion does not necessarily have to be performed by the information processing device 1, and may be performed manually or by another device.

[0036] [Text Association Section] The text associating unit 13 associates text data with any of the nodes in the knowledge graph.

[0037] Specifically, the method of association is not particularly limited, but includes converting the text data into vector data, setting a threshold for the distance between the vector of the learning field category, and if the distance is within the threshold, associating the text data with the node of the learning field category, and if the distance is outside the threshold, not associating the text data with the node of the learning field category.

[0038] The association does not necessarily have to be performed by the information processing device 1, but may be performed manually or by another device.

[0039] [Teaching Materials Creation Department] The teaching material creation unit 14 creates questions and / or teaching materials that belong to the learning field of each node in the knowledge graph.

[0040] Here, a "question" is something that asks the user some kind of question and receives a response, whereas a "teaching material" is something that conveys information to the user one-way and does not provide a response to the user.

[0041] Specifically, the method of creating the questions and / or teaching materials is not particularly limited, and for example, the learned sentence can be left as is or partially changed and a question can be asked as to whether it is true or false, or some of the terms in the learned sentence can be filled in and a question can be asked about that part.

[0042] The questions are not particularly limited, and the format may be, for example, multiple choice, written, or the like.

[0043] The format of the teaching materials is not particularly limited, and may be documents, documents with diagrams, videos, audio, and the like.

[0044] The questions and / or teaching materials created by the teaching material creating unit 14 are recorded and managed in association with a learning field category.

[0045] The timing of creating the learning material and / or questions by the learning material creating unit 14 is not particularly limited, and may be any time from the time the knowledge graph generating unit 10 generates the knowledge graph to immediately before the questions are actually displayed.

[0046] It should be noted that the creation of the teaching materials does not necessarily have to be performed by the information processing device 1, but may be performed manually or by another device.

[0047] [Teaching material display instruction reception section] The teaching material display instruction receiving unit 15 receives an instruction from a user to display teaching materials in a learning field corresponding to a node.

[0048] The method of user instruction is not particularly limited and may be a click, a tap, or some kind of key input. More specifically, an example of a method of user instruction is clicking or tapping a node displayed as a user interface. Another example of a method of user instruction is key input of a node number assigned to each node. The instruction received from the user in this way triggers the transmission of an instruction to display the teaching material to the teaching material display control unit 17.

[0049] [Teaching Materials Selection Department] The teaching material selection unit 16 selects questions and / or teaching materials belonging to a specific learning field category to be presented to the user.

[0050] When multiple teaching materials are created in the teaching material creation section 14, it is necessary to select questions and / or teaching materials to be presented to the user from among them, and this is realized by the teaching material section 16.

[0051] The teaching material selection unit 16 may select questions and / or teaching materials according to, for example, the user's instruction and / or the degree of domain understanding for each learning field. For example, when selecting questions and / or teaching materials belonging to a specific learning field category to be presented to the user according to the degree of domain understanding, and the purpose is to help the user overcome his / her weak areas, questions and / or teaching materials belonging to areas with a low degree of domain understanding may be presented. On the other hand, when the purpose is to help the user improve his / her strong areas, questions and / or teaching materials belonging to areas with a high degree of domain understanding may be presented.

[0052] The specific selection method is not particularly limited and may be random, or all prepared questions may be selected, or the correct answer rate of individual users may be recorded in advance, or the correct answer rate of all users may be recorded in advance and the questions with the lowest or highest correct answer rate may be selected.

[0053] The degree of domain understanding may be determined by a field understanding determination unit 21, which will be described later. When a user uses the information processing device of the present disclosure for the first time, for example, the initial value of the degree of domain understanding may not be different for each learning field, an average value of the degree of domain understanding for the first use of each learning field by other past users may be used, or the initial value may be determined based on the results of a test or questionnaire obtained in advance.

[0054] [Teaching material display control section] The teaching material display control unit 17 controls the display of questions and / or teaching materials belonging to a specific learning field category selected by the teaching material selection unit 16 on the display unit of the user's computer (terminal).

[0055] Specifically, the teaching material display control unit 17 converts the knowledge graph into a signal and transmits it to a display device (one example of a display unit, more specifically, displays provided in the computers C1, C2, and C3 of the users U1, U2, and U3).

[0056] When questions and / or learning materials are displayed according to the level of understanding of each learning field, for example, learning fields with a low level of understanding may be automatically displayed without the user specifying a field.

[0057] [Response Reception Department] The answer receiving section 18 receives the user's answers to the questions created by the learning material creating section 14. The answers obtained here are sent to the answer grading section 19, which will be described later.

[0058] The answer depends on the question format, but for example, in the case of a multiple-choice question, one of the options is the answer, and it can be either single or multiple. Also, in the case of a written question, the answer is a word, number, formula, sentence, etc.

[0059] The electronic format of the response is not particularly limited, and examples include text data, image data, and the like.

[0060] [Answer scoring section] The answer grading section 19 grades the answers to the questions given by the users and accepted by the answer accepting section 18 .

[0061] The method of scoring the answers is not particularly limited, and it is sufficient to judge whether the answers are consistent with the format of the question.

[0062] [Teaching material progress acquisition department] The learning material progress acquisition section 20 acquires the learning material progress of each user.

[0063] The degree of progress of the educational material is not particularly limited, and for example, if the educational material is something to be viewed such as a video, the number of times it is viewed, the viewing time, etc. may be used. Also, if the educational material is something to be viewed such as a document, the degree of progress of the educational material may be the number of times it is viewed, the viewing time, etc.

[0064] [Field Understanding Assessment Section] The subject understanding level assessment unit 21 assesses the subject understanding level for each user for each learning field category based on the scoring results of questions belonging to the learning field category and / or the progress of the learning materials and / or information provided by the user.

[0065] The degree of domain understanding may be calculated by directly using the answer scoring results obtained by the answer scoring unit 19 or the progress of the teaching material obtained by the teaching material progress acquisition unit 20, or by applying a formula or the like. Also, the answer scoring results obtained by the answer scoring unit 19 and the progress of the teaching material obtained by the teaching material progress acquisition unit 20 may be combined to form a parameter. When combining the answer scoring results and the progress of the teaching material, the weighting, the formula for quantifying, and the like are not particularly limited.

[0066] In addition, the degree of understanding of a field may be determined by inputting questions and answers in related fields that the user has solved, comments on social media, etc. "Information provided by the user" includes not only such information and information provided directly by the user, such as the results of grading answers, but also indirect information, such as the progress of the learning material.

[0067] Among the nodes of the knowledge graph, one problem and / or teaching material does not need to correspond only to the learning field of one node, but may correspond to the learning field categories of multiple nodes. In this way, when one problem and / or teaching material is related to the learning categories of multiple nodes, multiple learning categories can be evaluated by one problem and / or teaching material. In this case, the evaluation may be weighted by an index of relevance to the learning category (for example, the closeness between the vector of the problem and the vector of the learning category of the node). Also, for example, when the relationship between the node and the learning category is a relationship of a higher concept and a lower concept, the understanding of the learning field category of the higher concept may be evaluated by the field understanding of the learning field category of the lower concept. Specifically, the field understanding degree determination unit 21 may determine the higher the total of the field understanding degrees of the learning field categories of the lower concept than the learning field category of the node is, and may determine the lower the total of the field understanding degrees of the learning field categories of the lower concept than the learning field category of the node is,.

[0068] [Knowledge Graph Update Department] The knowledge graph update unit 22 updates the appearance of the node according to the degree of domain understanding. The appearance of the node may be, for example, one or more elements selected from the group consisting of the size, color, and shape of the node.

[0069] For example, when the knowledge graph update unit 22 changes the size of a node according to each user's level of domain understanding, the size of the node may be made larger the higher the level of domain understanding, or the size of the node may be made larger the higher the level of domain understanding.

[0070] For example, when the knowledge graph update unit 22 changes the color of a node according to each user's level of domain understanding, the color of the node may be changed in the order of red, yellow, and blue as the level of domain understanding increases, or the color of the node may be changed in the order of blue, yellow, and red as the level of domain understanding increases.

[0071] The change of the node according to the degree of domain understanding of each user may be continuously changed according to each stage of the degree of domain understanding of each user. For example, if the degree of domain understanding is divided into 100 stages, the size of the node may be divided into 100 stages and changed accordingly. In addition, a threshold may be set for the degree of domain understanding of each user, which may be divided into several stages and changed in stages. For example, if the degree of domain understanding is divided into 100 stages, the degree of domain understanding may be changed in stages of 1 to 10, 11 to 20, 21 to 30, etc. (10 stages in total).

[0072] The information processing device according to the present disclosure can be used in any learning field. In addition, the age, sex, occupation, etc. of the target user are not particularly limited.

[0073] According to the information processing device as described above, the user can systematically study while understanding the overall picture of how the weak area is positioned among all the areas that the user is trying to study.

[0074] Furthermore, the knowledge graph update unit 22 can add a node when it is determined that a new category is necessary, for example, because a new learning field has emerged. On the other hand, the knowledge graph update unit 22 can delete a node when it is determined that a specific existing category is unnecessary, for example, because a learning field has declined.

[0075] [Example of a user interface of an information processing device] Hereinafter, a specific example of an operation method when a user interface including a knowledge node generated from the information processing device 1 is displayed on a display device will be described. Fig. 4 is a schematic diagram for explaining an operation method when a user interface including a knowledge node generated from the information processing device of the present disclosure is displayed on a display device.

[0076] When a user activates the user interface, a signal is received from the knowledge graph display control unit 11, and the knowledge graph shown in (a) is displayed on the display unit of the user's computer (terminal). This knowledge graph has been generated in advance by the knowledge graph generation unit 10.

[0077] When a node in this knowledge graph is clicked or tapped, for example, the instructional material display instruction receiving unit 15 receives the instruction, and the instructional material selection unit 16 selects a question to display. This question is created in advance by the instructional material creation unit 14 based on the knowledge learned for each learning field category, which is obtained by converting data belonging to one of the learning field categories in the knowledge graph previously received into text by the text conversion unit 12 and associating the data with the learning field category by the text association unit 13. After that, a pop-up screen as shown in (b) is started by a signal from the instructional material display control unit 17, and the question selected by the instructional material selection unit 16 is displayed. When the user answers the question, the answer is accepted by the answer receiving unit 18, and the answer is scored by the answer scoring unit 19. If the user's answer is correct, the field understanding level determination unit 21 determines that the field understanding level has improved, and the knowledge graph update unit 22 enlarges the node of the learning field to which the correctly answered question belongs, as shown in (c), to reflect this improvement in the field understanding level. Conversely, if the user gives an incorrect answer, the knowledge graph update unit 22 reduces the size of the node of the learning field to which the incorrectly answered question belongs.

[0078] The knowledge graph has a structure in which higher-level learning fields and lower-level learning fields are connected, with nodes arranged radially. The nodes are systematically arranged so that as you move from the inside of the knowledge graph to the outside, the lower-level learning fields become larger. By repeating this type of learning, the nodes become larger in learning fields with many correct answers, while the nodes become smaller in learning fields with many incorrect answers. In other words, in a systematically arranged knowledge graph, you can understand at a glance the strengths and weaknesses of a person based on the size of the nodes. In addition, since nodes that are close to each other, such as learning fields connected by the same node or nodes extending from the same node, are related fields, you can determine whether you are weak in related fields based on the size of the nodes, and you can understand at a glance which learning fields you should focus on.

[0079] [Hardware configuration of information processing device] Fig. 5 is a schematic diagram showing a hardware configuration of an information processing device 1 according to the present disclosure. As shown in Fig. 5, the information processing device 1 has a communication unit 31, a storage unit 32, and a control unit 33, and these components are electrically connected via a communication bus 34 inside the information processing device 1. These components will be further described below.

[0080] The communication unit 31 is preferably a wired communication means such as USB, IEEE1394, Thunderbolt, wired LAN network communication, etc., but may also include wireless LAN network communication, mobile communication such as 3G / LTE / 5G, Bluetooth (registered trademark) communication, etc. as necessary. In other words, it is more preferable to implement it as a collection of multiple communication means. This allows information and commands to be exchanged between the information processing device 2 and other devices that can communicate with it.

[0081] The storage unit 32 stores the various pieces of information described above. This may be implemented as a storage device such as a solid state drive (SSD), or as a memory such as a random access memory (RAM) that stores temporarily necessary information (arguments, arrays, etc.) related to the calculation of a program. The storage unit 32 may also be a combination of these. The storage unit 32 also stores various programs that can be read by the control unit 33 described later.

[0082] The control unit 33 processes and controls the overall operation related to the management device 2. The control unit 33 is, for example, a central processing unit (CPU) (not shown). The control unit 33 realizes each function related to the information processing device 31 by reading a predetermined program stored in the storage unit 22. That is, the information processing by the software (stored in the storage unit 32) is specifically realized by the hardware (control unit 33), and can be executed as each functional unit in the control unit 33 as shown in FIG. 5. Note that, although FIG. 5 shows a single control unit 33, the present invention is not limited to this, and a configuration having multiple control units 33 for each function may be used, or a single control unit and multiple control units may be combined.

[0083] <Information Processing System> Instead of implementing each of the above-mentioned units as one device, a plurality of devices each having one or more of the above-mentioned units may be configured, and a system may be formed by combining the plurality of devices. Specifically, the information processing system of the present disclosure includes a knowledge graph display control unit and a teaching material display control unit. The knowledge graph display control unit controls to display a knowledge graph in which, among a plurality of nodes indicating learning field categories, nodes that are related to the learning field categories are connected by edges. In addition, the teaching material display control unit controls to display questions and / or teaching materials belonging to a specific learning field category to be presented to the user, according to the user's instruction and / or the field understanding level for each learning field.

[0084] The configuration of each part, including optional components, is the same as that of the information processing system, so a detailed description of the configuration will be omitted here.

[0085] <Program> The program according to the present disclosure causes a computer to operate as a knowledge graph display control unit and a teaching material display control unit. Of these, the knowledge graph display control unit controls to display a knowledge graph in which, among a plurality of nodes indicating learning field categories, nodes that are related to the learning field categories are connected by edges. Also, the teaching material display control unit controls to display questions and / or teaching materials that belong to a specific learning field category to be presented to a user.

[0086] The configuration of each part, including optional components, is the same as that of the information processing system, so a description of the specific configuration will be omitted here.

[0087] <Information processing method> The information processing method according to the present disclosure includes a knowledge graph display control step and a teaching material display control step. In the knowledge graph display control step, a knowledge graph is displayed in which, among a plurality of nodes indicating learning field categories, nodes related to the learning field categories are connected by edges. In addition, in the teaching material selection step, questions and / or teaching materials belonging to a specific learning field category to be presented to a user are displayed.

[0088] Fig. 6 is a flowchart of an information processing method according to the present disclosure. The flowchart of the information processing method shown in Fig. 6 includes a knowledge graph generation step S1, a knowledge graph display control step S2, a text conversion step S3, a text association step S4, a teaching material creation step S5, a teaching material display instruction reception step S6, a teaching material selection step S7, a teaching material display control step S8, an answer reception step S9, an answer grading step S10, a teaching material progress acquisition step S11, a field understanding level determination step S12, and a knowledge graph update step S13.

[0089] [Knowledge graph generation process] In the knowledge graph generation step S1, a knowledge graph is generated in which, among a plurality of nodes indicating learning field categories, nodes that are related to the learning field categories are connected by edges.

[0090] [Knowledge graph display control process] In the knowledge graph display control step S2, the knowledge graph generated by the knowledge graph generation unit in the knowledge graph generation step S1 is controlled so as to be displayed on the display unit of the user's computer (terminal).

[0091] [Text conversion process] In the text conversion step S3, data (teaching data, etc.) is imported from outside, and data provided in a format other than text is converted into text format.

[0092] [Text Association Process] In the text association step S4, the data converted into text format in the text conversion step S3 is associated with each node according to the relevance.

[0093] [Teaching material creation process] In the teaching material creation step S5, questions and / or teaching materials belonging to each learning field category contained in the knowledge graph created in the knowledge graph generation step S1 are created.

[0094] [Teaching material display instruction reception process] In the teaching material display instruction receiving step S6, an instruction to display teaching materials of a learning field category corresponding to a node of the knowledge graph created in the knowledge graph generating step S1 is received from the user.

[0095] [Teaching material selection process] In the learning material selection step S7, questions and / or learning materials belonging to a specific learning field category to be presented to the user are selected. The degree of understanding of a field is determined and obtained in the field understanding degree determination step S12 described later.

[0096] [Teaching material display control process] In the teaching material display control step S8, control is performed so that the questions and / or teaching materials belonging to the specific learning field category selected in the teaching material selection step S7 are displayed on the display unit of the user's computer (terminal).

[0097] [Response reception process] In the answer receiving step S9, answers to the questions created in the teaching material creating step S5 and selected in the teaching material selecting step S6 are received.

[0098] [Answer scoring process] In the answer marking step S10, the answers to the questions answered by the users and accepted in the answer accepting step S9 are marked.

[0099] [Teaching material progress acquisition process] In the learning material progress acquisition step S11, the progress of the learning material for each user is acquired. The learning material is created in the learning material creation step S3 and selected in the learning material selection step S6.

[0100] [Field understanding assessment process] In the domain understanding degree determination step S12, the domain understanding degree for each user is determined according to the score of the questions belonging to the learning field category and / or the progress of the learning material. The domain understanding degree is transmitted to the learning material selection step S7 and is used for selecting the learning material.

[0101] [Knowledge graph update process] In the knowledge graph updating step S13, one or more elements selected from the group consisting of the size, color, and shape of the node are updated according to the degree of domain understanding determined in the degree of domain understanding determination step S12.

[0102] The present invention is not limited to the above-described embodiment, and can be practiced with appropriate modifications. [Explanation of symbols]

[0103] 10 Knowledge graph generation unit 11 Knowledge graph display control unit 12 Text conversion section 13 Text Association Section 14 Teaching Materials Creation Department 15 Teaching material display instruction reception section 16 Teaching Material Selection Section 17 Teaching material display control section 18. Answer Reception Department 19 Answer Marking Section 20 Teaching material progress acquisition department 21 Field Understanding Assessment Section 22 Knowledge Graph Update Department 31 Communications Department 32 Storage section 33 Control Unit 34 Communication Bus U1, U2, U3 users C1, C2, C3 Computer

Claims

1. A knowledge graph display control unit and a teaching material display control unit are provided, the knowledge graph display control unit controls to display a knowledge graph in which, among a plurality of nodes indicating learning field categories, the nodes that are related to the learning field categories are connected by edges; The teaching material display control unit controls display of questions and / or teaching materials belonging to a specific learning field category to be presented to the user. Information processing device.

2. A knowledge graph update unit is further provided, The knowledge graph update unit updates the appearance of the node according to the domain understanding degree. The information processing device according to claim 1 .

3. A domain understanding degree determination unit is further provided, The field understanding degree determination unit determines a field understanding degree for each of the learning field categories for each of the users.

3. The information processing device according to claim 1 or 2.

4. The field understanding level determination unit determines the field understanding level for each of the learning field categories according to the grading results of questions belonging to the learning field category, the progress of the learning material, and / or information provided by the user. The information processing device according to claim 3 .

5. It also has a teaching materials creation department. The teaching material creation unit creates questions and / or teaching materials that belong to the learning field of each of the nodes in the knowledge graph.

3. The information processing device according to claim 1 or 2.

6. A knowledge graph display control unit and a teaching material display control unit are provided, the knowledge graph display control unit controls to display a knowledge graph in which, among a plurality of nodes indicating learning field categories, the nodes that are related to the learning field categories are connected by edges; The teaching material display control unit controls display of questions and / or teaching materials belonging to a specific learning field category to be presented to the user. Information processing system.

7. A computer is operated as a knowledge graph display control unit and a teaching material display control unit, the knowledge graph display control unit controls to display a knowledge graph in which, among a plurality of nodes indicating learning field categories, the nodes that are related to the learning field categories are connected by edges; The teaching material display control unit controls display of questions and / or teaching materials belonging to a specific learning field category to be presented to the user. program.

8. A knowledge graph display control process and a teaching material display control process are provided, In the knowledge graph display control step, a knowledge graph is displayed in which, among a plurality of nodes indicating learning field categories, the nodes having related learning field categories are connected to each other by edges; The display control step controls the display of questions and / or teaching materials belonging to a specific learning field category to be presented to the user. Information processing methods.

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