Learning support system, learning support method, and program

Abstract

To provide a learning support system based on characteristics of a learner.SOLUTION: A learning support system 20 according to the present disclosure includes: a situation acquisition unit 231 for acquiring at least one of the status of understanding of a learner of the content of a posed question and the status of the answer of the learner; a reaction analysis unit 232 for analyzing the reaction of the learner when the question is posed or when the question is answered, on the basis of the information acquired by the situation acquisition unit 231; and a characteristic data creation unit 233 for creating characteristic data indicating characteristics of the learner by comparing an analysis result of the reaction analysis unit 232 with a reference reaction serving as a reference for a reaction to the question.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present disclosure relates to a learning support system, a learning support method, and a program. [Background technology]

[0002] In recent years, technology for learning using tablet devices has become well known. Learners can progress through their studies by entering answers to questions displayed on the tablet device and having their answers graded. Some learners have learning disabilities that make it extremely difficult to acquire specific skills, and it is desirable to provide appropriate support to such learners. Learning disabilities include dyslexia, which is difficulty reading letters, and dysgraphia, which is difficulty writing letters. There are various types and degrees of learning disabilities. For learners with learning disabilities, appropriate learning support can be provided by providing questions tailored to the characteristics of their disability.

[0003] As a related technology, Patent Document 1 discloses a behavioral support system that has a database that records subject data with disease and disability codes collected by a terminal device and provides support tailored to the subject's individuality based on the subject data. In this behavioral support system, a supporter evaluates the behavior of subjects with disabilities based on items linked to ICF (International Classification of Functioning, Disability and Health) codes, etc. Furthermore, this behavioral support system provides support to subjects by linking with other behavioral support systems that use ICF codes, etc. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Publication No. 2020-087115 Summary of the Invention [Problem to be solved by the invention]

[0005] Learners study in a variety of locations, such as at school, at home, or at a cram school. This makes it difficult for a supporter to always be near the learner and evaluate their behavior. Without support from a supporter, learners may not receive appropriate support tailored to their own characteristics.

[0006] In view of the above-mentioned problems, an object of the present disclosure is to provide a learning support system, a learning support method, and a program that identify the characteristics of a learner. [Means for solving the problem]

[0007] The learning support system according to the present disclosure includes: a status acquisition unit that acquires at least one of a learner's understanding of the content of a question posed and a learner's answer to the question; a reaction analysis unit that analyzes the reaction of the learner at least at the time of asking the question and at the time of answering the question based on the information acquired by the situation acquisition unit; It is equipped with a characteristic data creation unit that creates characteristic data indicating the characteristics of the learner by comparing the analysis results of the response analysis unit with a reference response that serves as a standard for responses to the questions.

[0008] The learning support method according to the present disclosure includes: a status acquisition step of acquiring at least one of the learner's understanding of the content of the question and the learner's answer to the question; a reaction analysis step of analyzing the reaction of the learner at least at the time of asking the question and at the time of answering the question based on the information acquired in the situation acquisition step; The method includes a characteristic data creation step of creating characteristic data indicating the characteristics of the learner by comparing the analysis results of the response analysis step with a reference response that serves as a standard for responses to the questions.

[0009] The program according to the present disclosure is a status acquisition step of acquiring at least one of the learner's understanding of the content of the question and the learner's answer to the question; a reaction analysis step of analyzing the reaction of the learner at least at the time of asking the question and at the time of answering the question based on the information acquired in the situation acquisition step; The computer is caused to execute a characteristic data creation step of creating characteristic data indicating the characteristics of the learner by comparing the analysis results of the response analysis step with a reference response that serves as a standard for responses to the questions. [Effects of the Invention]

[0010] The learning support system, learning support method, and program according to the present disclosure make it possible to provide learning support that identifies the characteristics of a learner. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 1 is a diagram illustrating the overall configuration of a learning system according to the first embodiment. [Figure 2] FIG. 2 is a block diagram illustrating a detailed configuration of the learning system according to the first embodiment. [Figure 3] FIG. 3 is a diagram illustrating an example of user data registered in the user storage unit. [Figure 4] FIG. 4 is a diagram showing an example of initial values ​​of the learner's characteristic data stored in the learner characteristic storage unit. [Figure 5] FIG. 5 is a diagram showing an example of a question setting method table. [Figure 6] FIG. 6 is a diagram illustrating an example of the response method table. [Figure 7] FIG. 7 is a sequence diagram showing the processing performed by the learning system. [Figure 8] FIG. 8 is a flowchart showing the question setting method evaluation process performed by the learning support system. [Figure 9] FIG. 9 is a flowchart showing the answering method evaluation process performed by the learning assistance system. [Figure 10] FIG. 10 is a block diagram illustrating a detailed configuration of the learning system according to the second embodiment. [Figure 11] FIG. 11 is a diagram showing an example of updated learner characteristic data stored in the learner characteristic storage unit. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. In each drawing, the same or corresponding elements are designated by the same reference numerals. For clarity of explanation, duplicated explanations will be omitted as necessary.

[0013] <Embodiment 1> The first embodiment will be described with reference to Fig. 1. Fig. 1 is a diagram showing the overall configuration of a learning system 100 according to the first embodiment.

[0014] (Learning System 100) Learning system 100 includes cloud server CL, learner terminals 30-1 to 30-3, and administrator terminal 40. Cloud server CL, learner terminals 30-1 to 30-3, and administrator terminal 40 communicate with each other via network N. Network N is a wired or wireless communication line. Network N is, for example, the Internet. Network N may also be configured using a mobile communication network such as 3G, 4G, or 5G, a public telephone line network, or a satellite communication network. In the following, learning system 100 will be described assuming that it is a cloud system using the Internet.

[0015] The cloud server CL is an example of a server equipped with the digital teaching material system 10 and the learning support system 20. The cloud server CL may be constructed, for example, by any cloud service. The digital teaching material system 10 stores teaching material data, which is digital teaching materials that can be provided to learners. The digital teaching material system 10 provides the teaching material data in response to requests from learner terminals 30-1 to 30-3 and administrator terminal 40.

[0016] The learning support system 20 performs predetermined processing to support learners who study using the learner terminals 30-1 to 30-3. A learner is a user who studies using the learning system 100. A learner is, for example, a child such as an elementary school student, a student such as a junior high school student or a high school student, or a student such as a university student or a vocational school student. A learner is not limited to these, and may be a child attending a kindergarten or nursery school, or may be a person who is not enrolled in an educational institution such as a school. A learner may be anyone who studies using the learning system 100.

[0017] The content of the learning is arbitrary. For example, the content of the learning may be to improve the learner's reading ability, writing ability, or speaking ability. The content of the learning may be the Japanese language, arithmetic, science, social studies, foreign language, music, or other subjects learned at an educational institution such as a school, or it may be content related to an arts and science hobby, or it may be content related to various qualification examinations. The content of the learning may be any content that can provide educational material data to the learner terminals 30-1 to 30-3.

[0018] The learner terminals 30-1 to 30-3 are terminal devices used by learners. The learner terminals 30-1 to 30-3 may have the same configuration. In the following description, when there is no need to particularly distinguish between the learner terminals 30-1 to 30-3, they will each be simply referred to as the "learner terminal 30."

[0019] The number of components included in the learning system 100 is not limited to those shown in the figure. For example, the learning system 100 may include two or fewer learner terminals 30, or four or more learner terminals 30. The learning system 100 may also include multiple administrator terminals 40.

[0020] The following describes an example in which the learner terminal 30 acquires teaching material data from the digital teaching material system 10 via the learning support system 20, and the learner studies using the teaching material data. Predetermined questions included in the teaching material data are output on the learner terminal 30 by display or the like. The learner checks the content of the output questions and inputs answers to the questions into the learner terminal 30. The learner terminal 30 transmits the input answers to the digital teaching material system 10 via the learning support system 20. The digital teaching material system 10 performs grading and transmits the grading results to the learner terminal 30 via the learning support system 20. The learner terminal 30 outputs the grading results, allowing the learner to understand the grading results and proceed with their studies.

[0021] However, without being limited to this, the learner may check or answer the questions using a device other than the learner terminal 30. For example, the learner may check the questions using the learner terminal 30 and answer them using a device other than the learner terminal 30.

[0022] The administrator terminal 40 is a terminal device used by the administrator. The administrator is a user who uses the learning system 100 to manage learner information and learning material data. The learner terminal 30 and the administrator terminal 40 are, for example, tablet terminals, smartphones, or PCs. However, they are not limited to these, and any information processing device may be used as the learner terminal 30 and the administrator terminal 40. In the following, an example will be described in which the learner terminal 30 is a tablet terminal and the administrator terminal 40 is a PC.

[0023] Next, each component of the learning system 100 will be described in detail with reference to Fig. 2. Fig. 2 is a block diagram showing the detailed configuration of the learning system 100 according to embodiment 1. As described with reference to Fig. 1, the learning system 100 includes a cloud server CL, a learner terminal 30, and an administrator terminal 40.

[0024] (Cloud Server CL) The cloud server CL includes a user storage unit 1, a user authentication unit 2, a user management unit 3, a digital teaching material system 10, and a learning support system 20. The cloud server CL accumulates data used in processing related to the learning system 100. The cloud server CL is the server that serves as the center of control for the learning system 100.

[0025] The user storage unit 1 stores user data related to users of the learning system 100. Users include learners and administrators. For example, an administrator who has introduced the learning system 100 first registers user data related to learners in the user storage unit 1. For example, if the administrator is an elementary school teacher, the administrator registers user data related to elementary school students in the user storage unit 1.

[0026] FIG. 3 is a diagram showing an example of user data 1a registered in the user storage unit 1. User data 1a is information that associates a user ID, user type, name, and password. The user ID is information that identifies a user. The user type is information that indicates the type of user. The user type includes, for example, administrator and learner types. The user type is not limited to this and may include other types. The name is information that indicates the name of the user. The password is a password that the user uses when logging in to the learning system 100.

[0027] 3, the user data 1a includes data on the administrator indicated by user ID: 1 and data on learners A to C indicated by user IDs: 2 to 4. Learners A to C are users who use learner terminals 30-1 to 30-3 shown in FIG.

[0028] When the user data 1a is registered in the user storage unit 1, the user storage unit 1 transmits the user data 1a to the learning assistance system 20 via a communication unit (not shown). As a result, the learner's characteristic data, with the user data 1a as the master, is registered in the learner characteristic storage unit 22 of the learning assistance system 20.

[0029] The characteristic data is data that indicates the learning characteristics of a learner. The characteristic data includes information on the characteristics of the learner that require learning support. For example, the characteristic data includes at least one of the need for support when asking a question and the need for support when answering the question. The characteristic data may also include a method of support at least one of when asking a question and when answering the question. The method of support can be set in advance according to the learner's characteristics.

[0030] Here, cases in which a learner experiences difficulty while studying will be described in relation to characteristic data. There are various cases in which a learner experiences difficulty while studying, but in this disclosure, the following four cases are assumed. (1) Cases where the person has difficulty reading the displayed text (reading), but can understand it by enlarging the text (2) Cases where the person has difficulty reading displayed text, but can understand the content when the text is read aloud (3) Cases where there is difficulty in writing letters (graphography) but not in speaking. (4) Cases where the person has difficulty speaking due to stuttering or other reasons, but is able to speak if given time.

[0031] When answering questions, in cases (1) and (2), learners often have difficulty understanding the content of the questions. In cases (3) and (4), learners often have difficulty with how to answer. If the learning material data does not address the difficulties that learners experience, these difficulties may make it difficult to properly measure the learner's academic ability. Therefore, as will be described later, in the learning system 100, the learning support system 20 detects points where the learner has difficulty and provides appropriate support. This allows the learner to study without difficulty. Furthermore, the learner's academic ability can be properly measured.

[0032] For example, if a learner has difficulty reading, the learner may have difficulty understanding the questions that are posed. In such cases, the learner's characteristic data may include information such as "has difficulty reading," "needs to enlarge the text of the questions when the questions are posed," and "needs to use audio to read the questions when the questions are posed."

[0033] For example, if a learner has difficulty with writing, the learner may have difficulty answering questions in writing. In such cases, the learner's characteristic data may include information such as "has difficulty with writing" or "needs to change the answering method from writing to speaking."

[0034] Furthermore, for example, if a learner has difficulty speaking, it may be difficult for the learner to respond within the allotted time. In such cases, the learner's characteristic data may include information such as "has difficulty speaking" or "needs to extend the response time." The characteristic data will be described in more detail below.

[0035] Returning to Figure 2, the user authentication unit 2 authenticates the user. For example, when the user logs in to the learning system 100, the user authentication unit 2 authenticates the user using a password stored in the user storage unit 1. Note that the authentication method is not limited to password-based methods. The user authentication unit 2 may also perform biometric authentication of the user using biometric information obtained from the user's face or fingerprint, for example.

[0036] The user management unit 3 manages user information. For example, the user management unit 3 manages the user information by receiving input from the administrator terminal 40. For example, the user management unit 3 adds, deletes, and updates the user information.

[0037] (Digital Teaching Material System 10) The digital teaching material system 10 is a system for managing teaching material data to be provided to learners. The digital teaching material system 10 includes a communication unit 11, a learning status storage unit 12, a teaching material storage unit 13, and a control unit 14.

[0038] The communication unit 11 communicates between the digital teaching material system 10 and devices other than the digital teaching material system 10. The communication unit 11 may be configured with a communication interface for performing wired or wireless communication. For example, the communication unit 11 transmits teaching material data to the learning support system 20 in response to a request from the learning support system 20. The communication unit 11 also receives answers to questions from the learner terminal 30.

[0039] The learning status storage unit 12 stores the learning status of each learner. For example, the learning status storage unit 12 manages the learning progress of each learner. For example, the learning status storage unit 12 manages the user ID and the learning progress in association with each other.

[0040] The learning material storage unit 13 stores learning material data to be provided to learners. The learning material data may be stored in any format. The learning material data may be, for example, digital learning material data including digital content data. The learning material data may include, for example, at least one of character data, image data, and audio data. The image data may be still image data or moving image data.

[0041] The teaching material data includes questions to be posed to the learner. The questions may be composed of, for example, character data, or may further include audio data corresponding to the character data. The audio data corresponding to the character data of the questions is voice data read aloud of the questions. The voice data read aloud may be generated by a human voice or may be generated by an artificially generated synthetic voice.

[0042] The control unit 14 controls the operation of the digital teaching material system 10. For example, the control unit 14 controls the communication unit 11, the learning situation storage unit 12, and the teaching material storage unit 13.

[0043] (Learning Support System 20) The learning support system 20 is a system that supports the learning of learners in cooperation with an externally provided digital teaching material system 10. The learning support system 20 acquires teaching material data to be provided to learners from the digital teaching material system 10 and transmits the acquired teaching material data to the learner terminal 30. For example, the learning support system 20 presents questions and the like included in the teaching material data to the learner terminal 30. The learning support system 20 may adjust the acquired teaching material data to suit the characteristics of the learner and present the adjusted teaching material data to the learner. The learning support system 20 includes a communication unit 21, a learner characteristic storage unit 22, and a control unit 23.

[0044] The communication unit 21 communicates between the learning assistance system 20 and devices other than the learning assistance system 20. The communication unit 21 may be configured with a communication interface for performing wired or wireless communication.

[0045] For example, the communication unit 21 transmits a question request for requesting a question for the learning material data to the digital learning material system 10. The communication unit 21 also transmits to the learner terminal 30 a question screen for displaying a question on the learner terminal 30 and an answer screen for receiving an answer from the learner terminal 30. For example, the communication unit 21 transmits display information for displaying the question screen and the answer screen on the learner terminal 30.

[0046] The communication unit 21 also receives answers to the questions from the learner terminal 30 and transmits the answers to the digital teaching material system 10. Furthermore, the communication unit 21 receives sensing data corresponding to the learner's understanding of the content of the questions and the learner's answer to the questions from the learner terminal 30. The communication unit 21 then receives the grading results for the answers from the digital teaching material system 10.

[0047] The learner characteristic storage unit 22 stores the characteristic data of the learner. For example, the learner characteristic storage unit 22 stores the characteristic data of the learner using the user data 1a received from the user storage unit 1 as master.

[0048] 4 is a diagram showing an example of the initial values ​​of the learner's characteristic data 22a stored in the learner characteristic storage unit 22. The characteristic data 22a is data in which, for example, a user ID, a name, and parameters Param1 to Param4 are associated with each other. The user ID is information for identifying a user. The name is information indicating the name of the user.

[0049] The parameters Param1 to Param4 are parameters that indicate characteristic data possessed by a learner. The parameters Param1 to Param4 correspond to the above-mentioned cases (1) to (4) in which the learner has difficulty, respectively. The learner characteristic storage unit 22 stores, for each learner, information on what kind of support to provide to the learner using the values ​​of the parameters Param1 to Param4.

[0050] The value of parameter Param1 indicates whether the learner needs enlarged text display when the question is asked. The value of parameter Param2 indicates whether the learner needs support by reading out loud when the question is asked. The value of parameter Param3 indicates whether the learner has difficulty with writing when answering the question. The value of parameter Param4 indicates whether the learner has difficulty with speaking when answering the question.

[0051] If the parameter value is "TRUE", it indicates that the learner has the characteristic of that parameter, and if the parameter value is "FALSE", it indicates that the learner does not have the characteristic of that parameter. At the start of operation of the learning system 100, an initial value is input to each of the parameters Param1 to Param4. The initial value of each parameter is FALSE. Therefore, as shown in FIG. 4, at the start of operation, the values ​​of the parameters Param1 to Param4 of learners A to C are all FALSE. Note that if the administrator holds learner characteristic data in advance, the administrator may edit the values ​​of each parameter via the administrator terminal 40.

[0052] Although FIG. 4 only shows whether or not the learner is receiving support, this is not limiting. The characteristic data 22a may also include information on the level of support provided to the learner. The level of support may vary depending on the type and severity of the disability. For example, the level of support may be set so that the more severe the disability, the more thorough the support.

[0053] 4, the value of the parameter Param1 is expressed as one of two options: whether to enlarge the text (TRUE) or not (FALSE). The value of the parameter Param1 may also be expressed as a numerical value indicating how much to enlarge the text. Similarly, the value of the parameter Param2 may also be expressed as a numerical value indicating the volume or speed of the reading voice.

[0054] Returning to Fig. 2, the control unit 23 controls the operation of the learning assistance system 20. The control unit 23 includes a situation acquisition unit 231, a reaction analysis unit 232, a characteristic data creation unit 233, and a question determination unit 234.

[0055] The learning assistance system 20 includes a processor, memory, and storage device (not shown). The storage device stores a computer program that implements the processing described herein. The processor can load the computer program from the storage device into the memory and execute the computer program. This allows the processor to realize the functions of a situation acquisition unit 231, a reaction analysis unit 232, a characteristic data creation unit 233, and a question determination unit 234.

[0056] Alternatively, the situation acquisition unit 231, the reaction analysis unit 232, the characteristic data creation unit 233, and the question determination unit 234 may each be realized by dedicated hardware. Furthermore, some or all of the components of each device included in the learning support system 20 may be realized by general-purpose or dedicated circuits, processors, etc., or a combination thereof. These may be configured by a single chip, or by multiple chips connected via a bus. Some or all of the components may be realized by a combination of the above-mentioned circuits, etc., and a program. Furthermore, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an FPGA (Field-Programmable Gate Array), a quantum processor (quantum computer control chip), etc., may be used as the processor.

[0057] The status acquisition unit 231 acquires at least one of the learner's understanding of the content of the question that has been posed and the learner's response to the question.

[0058] The learner's understanding of the content of the question is information indicating whether or not the learner understands the content of the question. For example, assume that the question is presented in text. The status acquisition unit 231 acquires information indicating whether or not the learner reads the question and understands the content of the question as the learner's understanding of the question. For example, the status acquisition unit 231 acquires, from the learner terminal 30, the movement of the learner's eyes as they read the question.

[0059] For example, suppose a question is presented using both text and audio reading. The status acquisition unit 231 acquires, as the question understanding status, information indicating whether the learner understands the content of the question by listening to the audio reading. For example, the status acquisition unit 231 acquires, from the learner terminal 30, the movement of the learner's eyes as they read the question text accompanied by audio reading.

[0060] The learner's answer status to a question is information indicating the learner's status when answering a question. For example, suppose that a written answer is specified as the answering method to the question. The status acquisition unit 231 acquires the learner's written answer status from the learner terminal 30. The written answer status includes, for example, the content of the answer input to the learner terminal 30. If the learner inputs the answer by touching the learner terminal 30 with a pen or finger, the written answer status may include information about the trajectory of the line drawn on the learner terminal 30.

[0061] Furthermore, for example, suppose that a learner's spoken response is specified as a response method to a question. The situation acquisition unit 231 acquires the input situation of the learner's spoken response from the learner terminal 30. For example, the situation acquisition unit 231 acquires the speech situation extracted from the learner's voice input to the learner terminal 30. The speech situation may include the content of the learner's speech, etc.

[0062] The response analysis unit 232 analyzes the learner's response at least when the question is asked and when the learner answers, based on the information acquired by the situation acquisition unit 231. The learner's response is information for determining whether the learner needs predetermined support for at least one of the question and the answer. The response analysis unit 232 may analyze the learner's response using any technology.

[0063] For example, the response analysis unit 232 analyzes the learner's response when a question is presented based on the eye movement acquired by the situation acquisition unit 231. For example, the response analysis unit 232 analyzes the learner's response based on the eye movement of the learner while reading a question written only in text. The response analysis unit 232 also analyzes the learner's response based on the eye movement of the learner while reading the question while listening to the accompanying audio read-aloud. The response analysis unit 232 analyzes whether the learner's eye movement is able to follow the question. The response analysis unit 232 may analyze the smoothness with which the learner's eye movement follows the question. The response analysis unit 232 may analyze the speed of the eye movement.

[0064] Furthermore, the response analysis unit 232 analyzes the learner's response when writing an answer based on the situation of the written answer acquired by the situation acquisition unit 231. The response analysis unit 232 analyzes whether the learner is writing correctly. For example, the response analysis unit 232 analyzes whether the learner is writing incorrect characters such as mirror writing. The response analysis unit 232 may analyze the smoothness of the learner's writing an answer. The response analysis unit 232 may analyze the writing speed.

[0065] Furthermore, the reaction analysis unit 232 analyzes the reaction of the learner when answering by speech, based on the situation of the speech answer acquired by the situation acquisition unit 231. The reaction analysis unit 232 analyzes whether the learner is speaking correctly. The reaction analysis unit 232 may analyze the smoothness of the learner's speech when answering by speech. The reaction analysis unit 232 may analyze the speed of speech. The reaction analysis unit 232 may analyze whether the speech when answering includes stuttering.

[0066] The characteristic data creation unit 233 creates characteristic data indicating the characteristics of the learner by comparing the analysis results of the response analysis unit 232 with a reference response that serves as a standard for responses to questions. The reference response is a response that serves as a standard for identifying the learning characteristics of a learner. For example, the reference response may be the response of a learner who does not have learning difficulties. The reference response may be set using statistical values ​​(e.g., average or median) of the responses of multiple learners who do not have learning difficulties.

[0067] For example, the characteristic data creating unit 233 stores the reference response in advance in a storage unit (not shown). The characteristic data creating unit 233 may store different reference responses depending on the attributes of the learner (for example, age or grade). This allows the characteristic data creating unit 233 to create characteristic data with high accuracy depending on the attributes of the learner.

[0068] For example, the reference response when questions are presented in text may be "the ability to follow the question with one's eyes" or "the ability to finish reading the question within t seconds." Also, for example, the reference response when questions are presented using both text and audio reading may be "the ability to follow the question with one's eyes in time with the speed of the audio reading" or "the ability to follow the question with one's eyes within t seconds of the audio reading."

[0069] Furthermore, for example, the reference response when answering by writing may be "being able to answer by writing correctly," "being able to finish writing the answer within t3 seconds," etc. Furthermore, for example, the reference response when answering by speaking may be "being able to answer by speaking correctly," "being able to utter the answer within t4 seconds," "being able to utter the answer without stuttering," etc. The above-mentioned reference response is an example, and various responses may be set as the reference response.

[0070] The characteristic data creation unit 233 compares the analysis result of the response analysis unit 232 with the reference response as described above. Based on the comparison result, the characteristic data creation unit 233 changes the parameter value of the characteristic data stored in the learner characteristic storage unit 22. For example, if the difference between the analysis result and the reference response is equal to or greater than a predetermined value, the characteristic data creation unit 233 changes the parameter value from its initial value of FALSE to TRUE. If the difference between the analysis result and the reference response is less than a predetermined value, the characteristic data creation unit 233 leaves the parameter value at its initial value of FALSE and does not change the value. The characteristic data creation unit 233 may use a preset threshold to determine whether the difference between the analysis result and the reference response is equal to or greater than a predetermined value.

[0071] In this way, the characteristic data creation unit 233 compares the learner's response with the reference response, and if the difference between them is equal to or greater than a predetermined value, determines that the learner has difficulty learning the response in question, and changes the parameter value from the initial value to a different value. This allows the characteristic data creation unit 233 to create characteristic data that is tailored to the learner's characteristics.

[0072] The characteristic data creating unit 233 may ask questions using predetermined test data to determine whether or not to change the value of each parameter of the characteristic data. For example, the test data may be questions for which a question-asking method and an answering method are set that enable the user to determine whether or not to change the value of each of the parameters Param1 to Param4.

[0073] The question determination unit 234 determines at least one of a question setting method and an answering method for each learner based on the characteristic data. For example, the question determination unit 234 selects and determines a question setting method using a question setting method table in which the characteristic data and the question setting method are associated with each other. The question determination unit 234 also selects and determines a question setting method using an answering method table in which the characteristic data and the question setting method are associated with each other.

[0074] The question-setting method table and the answering method table may be stored in advance in a storage unit (not shown). In the following, an example will be described in which each table is stored in a storage unit as a question-setting method table T1 and an answering method table T2, respectively.

[0075] 5 is a diagram showing an example of the question setting method table T1. For example, the question setting method table T1 is information that associates parameters Param1, Param2, and question setting methods. The question determination unit 234 refers to the question setting method table T1 and selects a question setting method based on the parameter values ​​indicated by the learner's characteristic data. The question determination unit 234 determines the selected question setting method as the question setting method for the learner.

[0076] For example, suppose that in the characteristic data of a learner, the value of the parameter Param1 is FALSE and the value of the parameter Param2 is TRUE. If the default method for presenting a question is to only display the question text, the question determination unit 234 determines to add a reading voice in addition to displaying the question text.

[0077] However, the question determination unit 234 does not need to add voice reading to all questions. The question determination unit 234 may determine the question setting method so that a predetermined percentage of questions are set by displaying only text. In this way, even if the learner gradually no longer needs voice reading support, the question determination unit 234 can appropriately determine the question setting method.

[0078] When a learner studies using the learning system 100 for the first time, the values ​​of the parameters Param1 and Param2 are set to the initial value of FALSE, and questions are presented using the default question format.

[0079] 6 is a diagram showing an example of the answering method table T2. For example, the answering method table T2 is information that associates the parameter Param3, the parameter Param4, and the answering method. The question determination unit 234 refers to the answering method table T2 and selects an answering method based on the value of the parameter indicated by the characteristic data of the learner. The question determination unit 234 determines the selected answering method as the answering method to be accepted from the learner.

[0080] For example, if the value of the parameter Param3 is TRUE and the value of the parameter Param4 is FALSE in the characteristic data of the learner, the question determination unit 234 determines to change the default answering method to oral answering when the default answering method for the question is writing only.

[0081] However, the question determination unit 234 does not need to require spoken answers for all questions. The question determination unit 234 may determine the answering method so that a predetermined percentage of answers will be written. In this way, even if the learner gradually overcomes the difficulty of writing, the question determination unit 234 can appropriately determine the answering method.

[0082] When a learner studies using the learning system 100 for the first time, the values ​​of the parameters Param3 and Param4 are set to the initial value of FALSE, and questions are posed using the default answering method.

[0083] The control unit 23 performs various controls in addition to the processes of the above-mentioned situation acquisition unit 231, reaction analysis unit 232, characteristic data creation unit 233, and question determination unit 234. For example, the control unit 23 requests the digital teaching material system 10 to transmit a question. For example, the control unit 23 refers to the characteristic data in the learner characteristic storage unit 22 and requests the digital teaching material system 10 to transmit a question according to the characteristic of the learner.

[0084] (Student terminal 30) Returning to FIG. 2, the learner terminal 30 is a terminal device used by a learner. The learner terminal 30 is, for example, a tablet terminal. However, the learner terminal 30 is not limited to this, and may be a smartphone, a PC, or the like. The learner terminal 30 includes a communication unit 31 and an interface unit 32.

[0085] The communication unit 31 communicates between the learner terminal 30 and devices other than the learner terminal 30. The communication unit 31 may be configured with a communication interface for performing wired or wireless communication.

[0086] For example, the communication unit 31 receives display information for displaying a question screen and an answer screen on the display unit 321 from the learning assistance system 20. The communication unit 31 also transmits answers to the questions to the learning assistance system 20. The communication unit 31 also transmits sensing data detected by the interface unit 32 when the question is asked and when the answer is given to the learning assistance system 20. The communication unit 31 then receives the results of scoring the answers from the learning assistance system 20.

[0087] The interface unit 32 performs input and output between the learner terminal 30 and the outside. The interface unit 32 includes a display unit 321, a voice output unit 322, a touch input unit 323, a microphone input unit 324, and a camera input unit 325.

[0088] The display unit 321 displays various types of information. The display unit 321 is, for example, a display device such as a display. The display unit 321 may be, for example, an organic EL display or a liquid crystal display.

[0089] The audio output unit 322 outputs various types of information by audio. The audio output unit 322 is, for example, an audio output device such as a speaker. For example, the audio output unit 322 outputs a voice reading out a question sentence. The audio output unit 322 may adjust the output mode depending on the learning difficulties of the learner. For example, the audio output unit 322 may increase or decrease the speed of the voice reading out the question sentence. The audio output unit 322 may also increase or decrease the volume of the voice reading out.

[0090] The touch input unit 323 is an input device that can accept input from the learner by the learner performing a touch operation with a finger, a pen, etc. The touch input unit 323 may have the function of the display unit 321. For example, the touch input unit 323 may be a touch panel that can display various information and accept input from the learner.

[0091] The touch input unit 323 detects the learner's handwritten answer status to the question. For example, the touch input unit 323 detects the trajectory of a line drawn by the learner as the answer status. The touch input unit 323 may also detect the drawing speed of the trajectory as the answer status. The touch input unit 323 may also recognize the drawn characters using any character recognition technology and detect the recognition result as the answer status. The touch input unit 323 transmits the detection result of the answer status to the learning assistance system 20 via the communication unit 31.

[0092] The microphone input unit 324 collects surrounding sounds. The microphone input unit 324 is, for example, a sound collection device such as a microphone. The microphone input unit 324 accepts input of answers to questions by voice from the learner. The microphone input unit 324 detects the answer status based on the learner's speech. The microphone input unit 324 may detect the speed of speech in the answer as the answer status. The microphone input unit 324 may also recognize the content of the speech using any voice recognition technology and detect the recognition result as the answer status. The microphone input unit 324 transmits the detection result of the answer status to the learning assistance system 20 via the communication unit 31.

[0093] The camera input unit 325 photographs the learner, who is the subject. The camera input unit 325 is, for example, a photographing device such as a camera. The camera input unit 325 photographs the learner and acquires the photographed image. The camera input unit 325 is placed in a position where it can photograph the learner's line of sight. For example, the camera input unit 325 is a front camera provided on the front of the learner terminal 30. The front of the learner terminal 30 is the surface on which the display unit 321 and the touch input unit 323 are provided.

[0094] For example, the camera input unit 325 photographs the learner's face when a question is asked. Specifically, after a question is asked, the camera input unit 325 photographs the learner's face as he or she reads the question. The camera input unit 325 may continue photographing until a predetermined time has passed since the question was asked, or may continue photographing until a predetermined timing, such as when an answer is input.

[0095] The camera input unit 325 detects the learner's understanding of the content of the question posed. The camera input unit 325 may detect information extracted from the captured image as the understanding state. For example, the camera input unit 325 detects the learner's eye movements extracted from the captured image as the understanding state. The camera input unit 325 transmits the detection result of the understanding state of the question to the learning support system 20 via the communication unit 31.

[0096] (Administrator terminal 40) The administrator terminal 40 is a terminal device used by an administrator. The administrator terminal 40 is, for example, a PC. However, the administrator terminal 40 is not limited to this and may be a tablet terminal, a smartphone, or the like. The administrator terminal 40 includes a communication unit 41 and an interface unit 42.

[0097] The communication unit 41 communicates between the administrator terminal 40 and devices other than the administrator terminal 40. The communication unit 41 may be configured with a communication interface for performing wired or wireless communication.

[0098] The interface unit 42 performs input and output between the administrator terminal 40 and the outside. The interface unit 42 includes a display unit 421 and an input unit 422.

[0099] The display unit 421 displays various types of information. The display unit 421 is, for example, a display device such as a display. The display unit 421 may be, for example, an organic EL display or a liquid crystal display.

[0100] The input unit 422 accepts input from the administrator. The input unit 422 is, for example, an input device such as a mouse or a keyboard. The input unit 422 may be a touch panel that displays various information and is capable of accepting input from learners. For example, the input unit 422 accepts input of user data of learners from the administrator. For example, if the administrator is an elementary school teacher, the input unit 422 accepts input of user data related to elementary school students.

[0101] The input unit 422 may also accept input of learner characteristic data. For example, if the administrator holds learner characteristic data in advance, the administrator may access the learning assistance system 20 and input parameters of the characteristic data to be stored in the learner characteristic storage unit 22.

[0102] The above describes the configuration of the learning system 100. The above-described configuration of the learning system 100 is merely an example and may be modified as appropriate. For example, when some or all of the components of the learning system 100 are realized by multiple information processing devices, circuits, etc., the multiple information processing devices, circuits, etc. may be centrally or decentralized. For example, the information processing devices, circuits, etc. may be realized as a client-server system, cloud computing system, or other system connected via a communication network. Furthermore, for example, the functions of the digital teaching material system 10 and the learning support system 20 may be provided in a SaaS (Software as a Service) format.

[0103] In the above description, the digital teaching material system 10 and the learning support system 20 are described as separate systems, as shown in Fig. 2, but this is not limiting. The digital teaching material system 10 and the learning support system 20 may be configured as a single system. Furthermore, the digital teaching material system 10 and the learning support system 20 may be provided on an on-premise server instead of on the cloud server CL.

[0104] (Processing of learning system 100) Next, the processing performed by learning system 100 will be described with reference to Fig. 7. Fig. 7 is a sequence diagram showing the processing performed by learning system 100. Using this figure, the processing for creating characteristic data of learner U in learning support system 20 when learner U is studying for the first time will be described. Learning support system 20 may perform this processing using questions in test data for creating characteristic data of learner U.

[0105] It is assumed that learner U has logged in to the learning system 100 using learner terminal 30 to begin learning. The learning assistance system 20 acquires the user ID of the logged-in learner U. The control unit 23 of the learning assistance system 20 also creates characteristic data of learner U using the user data of learner U as master data, and registers the data in the learner characteristic storage unit 22. At this stage, the characteristic data is not data according to the characteristics of learner U, but is in the initial data state.

[0106] First, the control unit 23 of the learning assistance system 20 refers to the learner characteristic storage unit 22 (S1). Specifically, the control unit 23 refers to the characteristic data stored in the learner characteristic storage unit 22 and acquires the characteristic data of the learner U associated with the user ID. The characteristic data is represented by the above-mentioned parameters Param1 to Param4. At this stage, the values ​​of the parameters Param1 to Param4 indicating the characteristic data of the learner U are all FALSE, which is the initial value.

[0107] Next, the control unit 23 requests a question from the digital teaching material system 10 (S2). For example, the control unit 23 transmits a question request including the user ID of the learner U and characteristic data of the learner U to the digital teaching material system 10 via the communication unit 21.

[0108] The control unit 14 of the digital teaching material system 10 refers to the learning status memory unit 12 and the teaching material memory unit 13 (S3). The control unit 14 refers to the learning status memory unit 12 to acquire the learning progress of the learner U. The control unit 14 also refers to the teaching material memory unit 13 to acquire teaching material data corresponding to the learning progress and characteristic data of the learner U. For example, if the question setting method requires the use of audio reading, the control unit 14 acquires teaching material data for questions that use audio reading in addition to text display. The control unit 14 transmits the questions in the teaching material data to the learning support system 20 via the communication unit 11 (S4).

[0109] In the learning assistance system 20, the question determination unit 234 of the control unit 23 determines a question setting method and an answering method for the question received via the communication unit 21 (S5). Here, all parameters indicating characteristic data are FALSE, so the question determination unit 234 determines a default question setting method and answering method. Here, the default question setting method is to set the question using only text, and the default answering method is to answer using written characters. The control unit 23 presents a question screen and an answering screen on the learner terminal 30 (S6).

[0110] The learner U inputs an answer to the question using the learner terminal 30 (S7). The learner terminal 30 detects various sensing data when the question is asked and when the answer is given. The sensing data is data that indicates the learner U's understanding of the content of the question and the learner U's answer to the question.

[0111] For example, the camera input unit 325 of the interface unit 32 captures the face of the learner U when a question is asked. The camera input unit 325 extracts the movement of the learner U's eyes as an indication of the learner U's understanding of the question. The touch input unit 323 of the interface unit 32 detects the learner U's handwriting when answering as the learner's answer to the question. For example, the touch input unit 323 may detect information about a drawn trajectory. The microphone input unit 324 of the interface unit 32 detects the learner U's speech when answering as the answer status.

[0112] The communication unit 31 of the learner terminal 30 transmits the answer to the question to the learning support system 20 (S8). The communication unit 31 also transmits sensing data including the learner U's understanding state and answer state of the question to the learning support system 20 (S9). The communication unit 21 of the learning support system 20 receives the sensing data including the understanding state and answer state. The communication unit 21 also transmits the answer received from the learner terminal 30 to the digital teaching material system 10 (S10). The communication unit 11 of the digital teaching material system 10 receives the answer. Note that the processing of steps S7 and S8 and the processing of step S9 may be performed in parallel.

[0113] The control unit 14 of the digital teaching material system 10 grades the received answers (S11). The control unit 14 transmits the graded results to the learning support system 20 via the communication unit 11 (S12).

[0114] The learning support system 20 evaluates the sensing content and the scoring results (S13). For example, the status acquisition unit 231 of the control unit 23 acquires the learner U's understanding status and answer status of the question. Furthermore, the response analysis unit 232 of the control unit 23 analyzes the learner U's response when the question is asked and when the learner U answers, based on the information acquired by the status acquisition unit 231. The characteristic data creation unit 233 of the control unit 23 evaluates the sensing content based on the analysis results of the response analysis unit 232. Furthermore, the control unit 23 acquires the scoring results for the answers and evaluates the scoring results.

[0115] The characteristic data creation unit 233 of the control unit 23 changes the characteristic data of the learner U based on the evaluation result of the sensing content (S14). Specifically, the characteristic data creation unit 233 refers to the learner characteristic storage unit 22 and changes the parameter values ​​of the characteristic data associated with the user ID of the learner U. As a result, the characteristic data creation unit 233 changes the parameter values ​​from the initial values ​​to values ​​suited to the learner U. In this way, the characteristic data creation unit 233 creates characteristic data of the learner U. The evaluation of the sensing content and the change of the parameters will be described in detail below.

[0116] Next, the control unit 23 of the learning assistance system 20 transmits the grading result to the learner terminal 30 via the communication unit 21 (S15). This allows the learner U to know the grading result of the answer.

[0117] After the characteristic data corresponding to the learner U shown in step S14 is created, the question determination unit 234 can determine, based on the created characteristic data, a question setting method and an answering method corresponding to the characteristics of the learner U. This allows the question determination unit 234 to determine questions corresponding to the characteristic data of the learner U, instead of the default question setting method and answering method, in step S5 of the second or subsequent learning sessions.

[0118] In the above description, an example has been described in which in step S4 the control unit 14 of the digital teaching material system 10 acquires teaching material data corresponding to the learning characteristic data of the learner U and transmits it to the learning support system 20, but this is not limiting. For example, if the teaching material data corresponding to the characteristic data of the learner U is not stored in the teaching material storage unit 13, the learning support system 20 may adjust the teaching material data.

[0119] For example, the control unit 23 of the learning support system 20 may include an adjustment unit that adjusts the output mode of the learning material data in accordance with the characteristic data of the learner U. For example, the adjustment unit may use any technology to add a voice reading out the question to the learning material data. The adjustment unit may record the voice of a person reading out the question and add it to the text data of the question, or may read out the question using an artificially generated synthetic voice and add that voice to the text data of the question.

[0120] The adjustment unit may also create character data of a question sentence with a larger character size than the initial size, and transmit the created data to the learner terminal 30. The adjustment unit may also control the display on the learner terminal 30 so that the characters are enlarged on the display unit 321 of the learner terminal 30. In addition to these, the adjustment unit may adjust the output mode of the learning material data when a question is asked and the input mode of the answer received from the learner U when answering, to any mode.

[0121] (Examination method evaluation process) Next, the question setting method evaluation process for evaluating the question setting method will be described with reference to Fig. 8. Fig. 8 is a flowchart showing the question setting method evaluation process performed by the learning assistance system 20.

[0122] The question setting method evaluation process is divided into an evaluation block of the understanding of the question content shown in the upper row and a characteristic data change block shown in the lower row. The evaluation block of the understanding of the question content corresponds to step S13 shown in Figure 7, and the characteristic data change block corresponds to step S14 shown in Figure 7.

[0123] The learning assistance system 20 evaluates the learner U's understanding of the question in an evaluation block for the understanding of the question content. Furthermore, the learning assistance system 20 reflects the evaluation result in the evaluation block for the understanding of the question content in the attribute data in an attribute data change block. Specifically, the attribute data creation unit 233 of the learning assistance system 20 refers to the attribute data stored in the learner attribute storage unit 22 and changes the parameters of the attribute data associated with the user ID of the learner U. In this process, the attribute data creation unit 233 changes the values ​​of the parameters Param1 and Param2.

[0124] First, the characteristic data creation unit 233 determines whether the question is presented using only text display or a combination of text display and audio reading (S101). If the question is presented using only text display ("text only" in S101), the characteristic data creation unit 233 determines whether the learner U has difficulty reading (S102).

[0125] Specifically, the characteristic data creation unit 233 determines whether the learner U can follow the question sentence with his / her gaze. For example, the characteristic data creation unit 233 may make this determination based on the length of time the gaze stays on the learner or whether the gaze is disrupted. For example, the characteristic data creation unit 233 may use the response of a learner who does not have learning difficulties as a reference response and make this determination by comparing the response of the learner U with the reference response. The characteristic data creation unit 233 may determine that the learner U has no reading difficulty if the difference between the reference response and the response of the learner U is less than a predetermined value, and may determine that the learner U has reading difficulty if the difference between the reference response and the response of the learner U is greater than or equal to a predetermined value.

[0126] For example, if the reference response is "I can follow the question with my eyes" and the response of learner U is "I cannot follow the question with my eyes," the characteristic data creation unit 233 determines that learner U has difficulty in reading. Conversely, if the response of learner U is "I can follow the question with my eyes," the characteristic data creation unit 233 determines that learner U does not have difficulty in reading. Note that whether the answer is correct or incorrect does not affect the determination.

[0127] If it is determined that learner U has no difficulty in reading (NO in S102), the characteristic data creation unit 233 determines that both enlarged character display and voice reading are unnecessary (S103). The characteristic data creation unit 233 changes the values ​​of parameters Param1 and Param2 to FALSE (S104). However, in the first learning, the values ​​of parameters Param1 and Param2 are the initial values ​​FALSE, so the characteristic data creation unit 233 leaves these values ​​as FALSE.

[0128] If it is determined that the learner U has difficulty in reading (YES in S102), the characteristic data creation unit 233 determines whether the characters of the question sentence are enlarged (S105). If it is determined that the characters are not enlarged (NO in S105), the characteristic data creation unit 233 determines that enlargement of the characters is necessary (S106).

[0129] The characteristic data creation unit 233 changes the value of the parameter Param1 to TRUE and does not change the value of the parameter Param2 (S107). If it is determined that the characters are being displayed in an enlarged format (YES in S105), the characteristic data creation unit 233 determines that a text-to-speech voice needs to be used in combination (S108). The characteristic data creation unit 233 does not change the value of the parameter Param1, but changes the value of the parameter Param2 to TRUE (S109).

[0130] In step S101, if it is determined that the question method is a combination of text display and audio reading ("text display + audio reading" in S101), the characteristic data creation unit 233 determines whether or not learner U has difficulty reading (S110).

[0131] Specifically, the characteristic data creation unit 233 determines whether the learner U is able to follow the question text with his / her eyes in time with the reading audio. For example, the characteristic data creation unit 233 makes this determination by comparing the reference response with the learner U's response, as in step S102. The characteristic data creation unit 233 may determine that the learner U has no reading difficulty if the difference between the reference response and the learner U's response is less than a predetermined value, and may determine that the learner U has reading difficulty if the difference between the reference response and the learner U's response is greater than or equal to a predetermined value. Note that whether the answer is correct or incorrect does not affect the determination.

[0132] If it is determined that learner U has no reading difficulty (NO in S110), the characteristic data creation unit 233 does not evaluate the need for support when setting the question (S111). This is because the question is set using both text display and voice reading, so the characteristic data creation unit 233 cannot evaluate the need for support. Therefore, the characteristic data creation unit 233 does not change the values ​​of parameters Param1 and Param2 (S112).

[0133] If it is determined that the learner U has difficulty reading (YES in S110), the characteristic data creation unit 233 determines that it is necessary to enlarge the characters and use a voice reading function (S113).The characteristic data creation unit 233 changes the values ​​of the parameters Param1 and Param2 to TRUE (S114).

[0134] Through the above-described processing, the characteristic data creating unit 233 can change the values ​​of the parameters Param1 and Para2 to values ​​suited to the learner U.

[0135] (Answering method evaluation process) Next, the answering method evaluation process for evaluating answering methods will be described with reference to Fig. 9. Fig. 9 is a flowchart showing the answering method evaluation process performed by the learning assistance system 20.

[0136] The answering method evaluation process is divided into an evaluation block of the answer status to the question shown in the upper row and a change block of the characteristic data shown in the lower row. The evaluation block of the answer status to the question corresponds to step S13 shown in Fig. 7, and the change block of the characteristic data corresponds to step S14 shown in Fig. 7.

[0137] The learning assistance system 20 evaluates the answer status of the learner U to the questions in an evaluation block of the answer status to the questions. Furthermore, the learning assistance system 20 reflects the evaluation result in the evaluation block of the answer status to the questions in the attribute data in a attribute data change block. Specifically, the attribute data creation unit 233 of the learning assistance system 20 refers to the attribute data stored in the learner attribute storage unit 22 and changes the parameters of the attribute data associated with the user ID of the learner U. In this process, the attribute data creation unit 233 changes the values ​​of the parameters Param3 and Param4.

[0138] First, the characteristic data creation unit 233 determines whether the answer to the question is to be written or spoken (S201). If the answer to the question is to be written ("Writing" in S201), the characteristic data creation unit 233 determines whether the learner U has difficulty with writing (S202).

[0139] Specifically, the characteristic data creation unit 233 determines whether the learner U has answered in correct writing. For example, if the answer contains incorrect characters such as mirror writing, the characteristic data creation unit 233 determines that the learner U has not answered in correct writing. As in the question setting method evaluation process, the characteristic data creation unit 233 may make this determination by comparing the reference response with the learner U's response. For example, if the difference between the reference response and the learner U's response is less than a predetermined value, the characteristic data creation unit 233 determines that the learner U has no difficulty with writing, and if the difference between the reference response and the learner U's response is greater than or equal to a predetermined value, the characteristic data creation unit 233 determines that the learner U has difficulty with reading. Note that whether the answer is correct or incorrect does not affect the determination.

[0140] If it is determined that the learner U has no difficulty in writing (NO in S202), the characteristic data creation unit 233 determines that a change in the answering method is not necessary (S203). The characteristic data creation unit 233 does not change the values ​​of the parameters Param3 and Param4 (S204). If it is determined that the learner U has difficulty in writing (YES in S202), the characteristic data creation unit 233 determines that a change to a spoken answer is necessary (S205). The characteristic data creation unit 233 changes the value of the parameter Param3 to TRUE and does not change the value of the parameter Param4 (S206).

[0141] In step S201, if the answer method for the question is speaking ("Speaking" in S201), the characteristic data creation unit 233 determines whether or not the learner U has difficulty speaking (S207). Specifically, for example, the characteristic data creation unit 233 determines whether or not the learner U has difficulty speaking by determining whether or not there is stuttering in the learner U's speech. If the characteristic data creation unit 233 determines that there is stuttering in the learner U's speech, it determines that the learner U has difficulty speaking, and if it determines that there is no stuttering in the learner U's speech, it determines that the learner U does not have difficulty speaking.

[0142] As in step S202, the characteristic data creation unit 233 may make this determination by comparing the reference response with the response of the learner U. The characteristic data creation unit 233 may determine that the learner U has no difficulty in speaking if the difference between the reference response and the response of the learner U is less than a predetermined value, and may determine that the learner U has difficulty in speaking if the difference between the reference response and the response of the learner U is equal to or greater than a predetermined value. Whether the answer is correct or incorrect does not affect the determination.

[0143] If it is determined that the learner U has no difficulty in speaking (NO in S207), the characteristic data creation unit 233 determines that there is no need to change the answering method (S208). The characteristic data creation unit 233 does not change the values ​​of the parameters Param3 and Param4 (S209). If it is determined that the learner U has difficulty in speaking (YES in S207), the characteristic data creation unit 233 determines that an extension of the answering time is necessary (S210). The characteristic data creation unit 233 does not change the value of the parameter Param3, but changes the value of the parameter Param4 to TRUE (S211).

[0144] As described above, in the learning system 100 according to this embodiment, the learning support system 20 acquires at least one of the learner's understanding of the content of the question posed and the learner's response to the question, and analyzes the learner's response at least at the time of the question being posed and the time of the response based on the acquired information. The learning support system 20 creates characteristic data by comparing the results of this analysis with a reference response that serves as a standard for responses to the question.

[0145] In this way, the learning support system 20 determines at least one of the question-setting method and the answering method for each learner based on the characteristic data. As a result, regardless of the difficulties the learner has, the learning support system 20 can select an appropriate question-setting method and answering method according to the learner's characteristics and set the questions.

[0146] Furthermore, when using related technologies such as those disclosed in Patent Document 1, the learner's behavior is subjectively evaluated by a supporter or the like, which may result in inconsistent evaluation results. In contrast, learning system 100 allows learning support system 20 to objectively evaluate the learner's understanding at the time of questioning and the learner's response at the time of answering. This allows learning support system 20 to stably evaluate the learner. In this way, learning system 100 according to the present disclosure identifies the learner's characteristics in learning support system 20, making it possible to provide appropriate learning support according to the learner's characteristics.

[0147] <Embodiment 2> Next, a description will be given of a learning system 100a according to embodiment 2. In embodiment 1, an example was described in which the learning support system 20 included in the learning system 100 analyzes the learner's response based on the learner's situation at least at the time when the question is asked and at the time when the question is answered, and characteristic data is created using the analysis results.

[0148] In this embodiment, an example of updating learner characteristic data in a learning support system 20a included in a learning system 100a will be described. The overall configuration of learning system 100a is generally the same as the overall configuration of learning system 100 shown in FIG. 1, and therefore will not be illustrated. The overall configuration of learning system 100a can be explained by replacing learning system 100 shown in FIG. 1 with learning system 100a and learning support system 20 with learning support system 20a. The following description will focus on differences from embodiment 1, and will omit explanations of overlapping points as appropriate.

[0149] (Learning system 100a) Each component of the learning system 100a will be described in detail with reference to Fig. 10. Fig. 10 is a block diagram showing the detailed configuration of the learning system 100a according to embodiment 2. Similar to the learning system 100 described above, the learning system 100a includes a cloud server CL, a learner terminal 30, and an administrator terminal 40.

[0150] The cloud server CL includes a learning support system 20a instead of the above-described learning support system 20. The learning support system 20a includes a control unit 23a instead of the above-described control unit 23. The control unit 23a includes a situation acquisition unit 231a, a response analysis unit 232a, a question determination unit 234a, a characteristic data acquisition unit 235, and a characteristic data update unit 236.

[0151] The status acquisition unit 231a acquires at least one of the learner's understanding status regarding the content of the question posed in accordance with the method determined by the question determination unit 234a and the learner's response status to the question.

[0152] The reaction analysis unit 232a analyzes the reaction of the learner at least either when the question is asked or when the learner answers, based on the information acquired by the situation acquisition unit 231a.

[0153] The question determination unit 234a determines at least one of a question setting method and an answering method for each learner based on the characteristic data acquired by the characteristic data acquisition unit 235. The question determination unit 234a also determines at least one of a question setting method and an answering method for each learner based on the characteristic data updated by the characteristic data update unit 236.

[0154] The characteristic data acquiring unit 235 acquires characteristic data indicating the characteristics of each learner. For example, the characteristic data acquiring unit 235 acquires characteristic data pre-stored in the learner characteristic storage unit 22. The characteristic data acquiring unit 235 may acquire characteristic data from a device other than the learning assistance system 20a.

[0155] The characteristic data update unit 236 updates the characteristic data by comparing the analysis result of the response analysis unit 232a with a reference response that serves as a standard for responses to questions. The method of comparing the analysis result of the response analysis unit 232a with the reference response is the same as in the first embodiment, so a description thereof will be omitted. The characteristic data update unit 236 refers to the characteristic data stored in the learner characteristic storage unit 22, and updates the characteristic data by changing the parameter values ​​of the characteristic data.

[0156] (Processing of learning system 100a) The processing performed by learning system 100a is generally the same as the processing of learning system 100 described using the sequence diagram shown in Figure 7 and the flowcharts shown in Figures 8 and 9. Therefore, illustration of the processing of learning system 100a is omitted. In embodiment 1, an example was described in which processing is performed for the first question set after learning system 100 is introduced, but in this embodiment, learning system 100a performs processing for questions set from the second time onwards.

[0157] As the learner studies, the characteristic data update unit 236 changes the parameter values ​​of the characteristic data stored in the learner characteristic storage unit 22 in accordance with the processes shown in Figs. 7 to 9. In this way, the characteristic data update unit 236 updates the characteristic data. As the study is repeated, the characteristic data update unit 236 repeatedly updates the parameter values ​​of the characteristic data. In this way, the value of each parameter changes to a question setting method and answering method that are suited to the learner's characteristics.

[0158] Fig. 11 is a diagram showing an example of updated learner characteristic data 22b stored in the learner characteristic storage unit 22. The characteristic data 22b is data in which, like the characteristic data 22a shown in Fig. 4, for example, a user ID, a name, and parameters Param1 to Param4 are associated with each other.

[0159] When the learning system 100a starts operating, the values ​​of the parameters Param1 to Param4 are all initially set to FALSE, as shown in Figure 4. As the learner repeats the learning, FALSE is changed to TRUE according to the learner's characteristics, as shown in Figure 11.

[0160] For example, in the characteristic data of learner A, the values ​​of parameters Param1 and Param3 are FALSE, and the values ​​of parameters Param2 and Param4 are TRUE. In step S5 shown in Fig. 7, the question determination unit 234a uses the values ​​of parameters Param1 to Param4 to determine the question setting method and answer method for learner A. Therefore, in this case, the question determination unit 234a determines the question setting method for learner A to be one in which read-aloud audio is output in addition to text. Furthermore, the question determination unit 234a determines the question setting method for learner A to be one in which the answer time is extended.

[0161] In this way, the question determination unit 234a can determine questions using question-setting and answering methods that match the characteristic data of learner A. This allows learner A to study while receiving appropriate support for the abilities that he or she finds difficult.

[0162] 10 illustrates an example of a control unit 23a that does not include a functional unit corresponding to the characteristic data creation unit 233 described in the first embodiment, but this is not limiting. The control unit 23a may include the characteristic data creation unit 233, similar to the learning support system 20 of the first embodiment. This allows the characteristic data of the learner to be created in the characteristic data creation unit 233 when the learning system 100a is used for the first time, and the created characteristic data to be updated in the characteristic data update unit 236.

[0163] As described above, in the learning system 100a according to this embodiment, the learning assistance system 20a acquires characteristic data indicating the characteristics of each learner, and determines at least one of a question-setting method and an answering method for each learner based on the characteristic data. The learning assistance system 20a also acquires at least one of the learner's understanding of the content of the questions set in accordance with the determined method and the learner's response to the questions. Based on the acquired information, the learning assistance system 20a analyzes the learner's response at least either when the questions are set or when the learner answers, and updates the characteristic data by comparing the analysis results with a reference response.

[0164] In this way, the learning assistance system 20a can update the learner's characteristic data as the learner repeatedly studies. Furthermore, the learning assistance system 20a can determine at least one of the question-setting method and the answering method for each learner based on the updated characteristic data. As a result, even if a learner gradually overcomes learning difficulties, for example, the learning assistance system 20a can appropriately determine the question-setting method and the answering method in accordance with the learner's changes. With this configuration, the learning system 100a can provide appropriate learning assistance according to the learner's characteristics.

[0165] Each functional component of the above-described learning support systems 20 and 20a, digital teaching material system 10, learner terminal 30, and administrator terminal 40 may be realized by hardware (e.g., hardwired electronic circuits, etc.) that realizes each functional component, or may be realized by a combination of hardware and software (e.g., a combination of an electronic circuit and a program that controls it, etc.). For example, any process in the present disclosure can also be realized by having a CPU execute a computer program.

[0166] The program includes instructions (or software code) that, when loaded into a computer, cause the computer to perform one or more functions described in the embodiments. The program may be stored on various types of non-transitory computer-readable medium or tangible storage medium. By way of example and not limitation, non-transitory computer-readable medium or tangible storage medium includes random-access memory (RAM), read-only memory (ROM), flash memory, solid-state drive (SSD) or other memory technology, CD-ROM, digital versatile disc (DVD), Blu-ray disc or other optical disk storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage device. The program may also be transmitted on various types of transitory computer-readable medium or communication medium. By way of example and not limitation, transitory computer-readable medium or communication medium includes electrical, optical, acoustic, or other forms of propagated signals.

[0167] The present disclosure is not limited to the above-described embodiments, and can be modified as appropriate without departing from the spirit of the present disclosure. Furthermore, the above-described embodiments can be combined in any manner. For example, embodiment 1 and embodiment 2 can be combined. [Explanation of symbols]

[0168] 1. User memory section 1a User Data 2. User authentication section 3. User Management Department 10 Digital Teaching Material System 11 Communications Department 12 Learning status memory section 13 Teaching material storage section 14 Control Unit 20, 20a Learning Support System 21 Communications Department 22 Learner characteristics memory unit 22a, 22b Characteristic data 23, 23a Control section 30, 30-1 to 30-3 Student terminals 31 Communications Department 32 Interface section 40 Administrator terminal 41 Communications Department 42 Interface section 100, 100a Learning System 231, 231a Status acquisition section 232, 232a Reaction analysis section 233 Characteristic Data Creation Department 234, 234a Question determination section 235 Characteristic data acquisition unit 236 Characteristics data update unit 321 Display section 322 Audio output section 323 Touch Input Unit 324 Microphone input section 325 Camera Input Unit 421 Display section 422 Input section CL Cloud Server N Network Param1~Param4 parameters T1 Questioning Method Table T2 Response Method Table U Learner

Claims

1. a status acquisition unit that acquires at least one of a learner's understanding of the content of a question posed and a learner's answer to the question; a reaction analysis unit that analyzes the reaction of the learner at least at the time of asking the question and at the time of answering the question based on the information acquired by the situation acquisition unit; a characteristic data creation unit that creates characteristic data indicating the characteristics of the learner by comparing the analysis result of the response analysis unit with a reference response that serves as a reference for responses to the questions. Learning support system.

2. a question determination unit that determines at least one of a question setting method and an answering method for each learner based on the characteristic data; a characteristic data updating unit that updates the characteristic data; Furthermore, the status acquisition unit acquires at least one of the learner's understanding status regarding the content of the question posed in accordance with the method determined by the question determination unit and the learner's answer status regarding the question; the response analysis unit analyzes the learner's response at least at one of when the question set in accordance with the method determined by the question determination unit is asked and when the learner answers the question, based on the information acquired by the situation acquisition unit; The characteristic data update unit updates the characteristic data by comparing the analysis result of the reaction analysis unit with a reference reaction that serves as a reference for the reaction to the question. The learning support system according to claim 1 .

3. The question determination unit selects and determines at least one of a question setting method and an answering method for the question using at least one of a question setting method table in which the characteristic data and a method for setting the question are associated with each other and an answering method table in which the characteristic data and a method for answering the question are associated with each other. The learning support system according to claim 2 .

4. a status acquisition step of acquiring at least one of the learner's understanding of the content of the question and the learner's answer to the question; a reaction analysis step of analyzing the reaction of the learner at least at the time of asking the question and at the time of answering the question based on the information acquired in the situation acquisition step; and a characteristic data creation step of creating characteristic data indicating the characteristics of the learner by comparing the analysis result of the reaction analysis step with a reference reaction that serves as a reference for reactions to the questions. Learning support methods.

5. a status acquisition step of acquiring at least one of the learner's understanding of the content of the question and the learner's answer to the question; a reaction analysis step of analyzing the reaction of the learner at least at the time of asking the question and at the time of answering the question based on the information acquired in the situation acquisition step; a characteristic data creation step of creating characteristic data indicating the characteristics of the learner by comparing the analysis result of the reaction analysis step with a reference reaction that serves as a reference for reactions to the question. program.

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