Training support device, training support method and program

The training support device addresses the imbalance in existing educational technologies by using wearable devices to estimate student emotions and present club activity data, enabling tailored instruction that balances academic and extracurricular activities.

JP7743913B2Active Publication Date: 2025-09-25NEC CORP
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Patent Information

Application Number
JP2024507431
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2022-03-18
Publication Date
2025-09-25
Estimated Expiration
2042-03-18

AI Technical Summary

Technical Problem

Existing educational technologies do not adequately consider the balance between students' academic studies and extracurricular activities, making it difficult for teachers to provide tailored instruction.

Method used

A training support device that acquires biometric information from students using wearable devices, estimates their emotions, and presents condition information including club activity data to teachers, facilitating individualized instruction.

Benefits of technology

Enables teachers to provide instruction suited to each student's needs by considering both academic studies and extracurricular activities, reducing teacher workload.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

Provided is a guidance assistance device 100 having: an acquisition unit 110 for acquiring biological information pertaining to a student S, the biological information being measured using a wearable terminal 300 worn by the student S; an estimation unit 120 for estimating the emotion of the student S on the basis of the acquired biological information; and a presentation unit 130 for presenting condition information that includes the emotion of the student S, together with extracurricular activity information relating to the extracurricular activities of the student, to a user terminal used by a teacher.
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Description

[Technical Field]

[0001] The present disclosure relates to a training support device, a training support method, and program Regarding. [Background technology]

[0002] In the field of school education, schools (teachers) are expected to provide instruction tailored to each student so that they can balance their studies and club activities. In order to provide instruction tailored to each student, communication between teachers and students is important, but with the increase in remote classes, opportunities for teachers and students to meet face-to-face are decreasing, making it difficult for teachers to grasp the status of their students.

[0003] As a technology for supporting instruction to students, for example, Patent Document 1 discloses a technology for determining a weight value for each student from an index value related to the student's learning behavior, correcting the results of a class satisfaction survey for each student based on the weight value, and presenting the corrected results to the teacher. Also, Patent Document 2 discloses a learning support system that acquires the student's response to information sent to the student, estimates the student's current emotions based on the acquired response, and determines and transmits the content of information to the student based on the estimated emotions. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2014-238649 [Patent Document 2] Patent Publication No. 2021-108046 Summary of the Invention [Problem to be solved by the invention]

[0005] However, the technologies described in Patent Documents 1 and 2 do not take into account the status of students' extracurricular activities. Therefore, in order for teachers to provide instruction suited to each student, taking into account the compatibility of their studies and extracurricular activities, information that takes into account not only the status of students' academic studies but also the status of their extracurricular activities is required.

[0006] An example of the object of the present disclosure is to provide a teaching support device, a teaching support method, and a teaching support system that can provide teachers with effective information for providing teaching that is suited to each student, taking into consideration the balance between academic studies and club activities. program The purpose is to provide [Means for solving the problem]

[0007] In order to achieve the above object, according to one aspect of the present disclosure, An acquisition means for acquiring biometric information of a student measured using a wearable device attached to the student; an estimation means for estimating the emotion of the student based on the acquired biometric information; The teaching support device has a presentation means for presenting condition information including the emotion of the student, together with club activity information related to the club activity of the student, on a user terminal used by a teacher.

[0008] In order to achieve the above object, according to one aspect of the present disclosure, The student's biological information measured using a wearable device attached to the student is acquired, Estimating the emotion of the student based on the acquired biometric information; There is provided a teaching support method that includes presenting condition information including the emotion of the student, together with club activity information related to the club activity of the student, on a user terminal used by a teacher.

[0009] In order to achieve the above object, according to one aspect of the present disclosure, computer of , An acquisition means for acquiring biometric information of a student measured using a wearable device attached to the student; an estimation means for estimating the emotion of the student based on the acquired biometric information; and a presentation means for presenting condition information including the emotion of the student, together with club activity information related to the club activity of the student, on a user terminal used by a teacher. Mu Provided. [Effects of the Invention]

[0010] As described above, according to the present disclosure, teachers can be provided with information that is effective for providing instruction that is suited to each student, taking into consideration the balance between academic studies and club activities. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 1 is a block diagram showing an example of the configuration of a training support device according to an embodiment. [Figure 2] FIG. 2 is an explanatory diagram illustrating an example of the configuration of a training support system including a training support device according to an embodiment. [Figure 3] FIG. 3 is an explanatory diagram showing an example of the condition information of the students. [Figure 4] FIG. 4 is an explanatory diagram showing an example of basic information of a student. [Figure 5] FIG. 5 is a timing chart showing an example of the training support method according to the embodiment. [Figure 6] FIG. 6 is an explanatory diagram showing a list screen that shows a list of students taking a certain class, which is displayed on the display unit of a user terminal. [Figure 7] FIG. 7 is an explanatory diagram showing an example of a pop-up screen displayed on the list screen. [Figure 8] FIG. 8 is an explanatory diagram showing an example of the pop-up screen. [Figure 9] FIG. 9 is an explanatory diagram showing an example of a questionnaire screen displayed on a student's terminal. [Figure 10]FIG. 10 is a block diagram showing an example of the configuration of a training support device that is configured by a user-side device and a server-side device. [Figure 11] FIG. 11 is a block diagram illustrating an example of a computer that realizes a training support device according to an embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0012] [1. Overview] First, the configuration and functions of a training support device 100 according to an embodiment will be described with reference to Fig. 1. Fig. 1 is a block diagram showing an example of the configuration of a training support device 100 according to an embodiment.

[0013] The teaching support device 100 is a device that provides teachers with information that is effective for providing instruction that is tailored to each student, taking into consideration the balance between academic studies and club activities. As shown in FIG. 1 , the teaching support device 100 includes an acquisition unit 110, an estimation unit 120, and a presentation unit 130.

[0014] The acquisition unit 110 acquires biometric information of students. The biometric information of students can be measured by a wearable device worn by the students. The estimation unit 120 estimates the emotions of students based on the biometric information acquired by the acquisition unit 110. The presentation unit 130 presents condition information including the emotions of students estimated by the estimation unit 120, together with club activity information related to the club activities of students, on a user terminal used by a teacher.

[0015] Such a teaching support device 100 allows teachers to grasp the latest condition information, such as how students are feeling, along with information about club activities. As a result, teachers can be supported to provide individualized instruction suited to each student while reducing the workload of teachers.

[0016] [2. Equipment configuration] The configuration and functions of the training support device 100 according to an embodiment will be described in more detail with reference to Figures 2 to 4. Figure 2 is an explanatory diagram showing an example of the configuration of a training support system 1 including the training support device 100 according to an embodiment. Figure 3 is an explanatory diagram showing an example of condition information of students. Figure 4 is an explanatory diagram showing an example of basic information of students.

[0017] As shown in Figure 2, the teaching support system 1 includes a teaching support device 100, a student information database (DB) 200 that stores condition information and basic information of students, a wearable terminal 300 worn by student S, and a user terminal 400 used by teacher T, all of which are connected to each other via a network so that they can communicate with each other.

[0018] Each student S wears a wearable device 300 that measures biometric information. The wearable device 300 is a computing device worn on the wrist, arm, head, or the like of the user (student) whose biometric information is to be measured. The form of the wearable device 300 is not particularly limited, and for example, a wristwatch-type or wristband-type device may be used. The wearable device 300 is associated with the student S. For example, by associating the identification information (device ID) of the wearable device 300 with the identification information (student ID) of the student, it is possible to identify which student the biometric information measured by the wearable device 300 belongs to.

[0019] The wearable device 300 measures biological information such as the student's pulse rate, sleep time, number of steps, and skin temperature. Examples of biological information measured by the wearable device 300 include pulse rate, amount of conversation (conversation time), calories burned through exercise, sleep time (bedtime, wake-up time), number of steps, skin temperature (body temperature), and UV level (ultraviolet rays). The wearable device 300 transmits the measured biological information to the training support device 100 via a network. The training support device 100 associates the received biological information with identification information (student ID) for each student and records it in the student information DB 200.

[0020] The teaching support device 100 estimates the emotions of students based on their biometric information, and presents condition information including the estimated emotions of the students, together with club activity information related to the students' club activities, to a user terminal 400 used by a teacher. As shown in FIG. 1 , the teaching support device 100 has an acquisition unit 110, an estimation unit 120, and a presentation unit 130. The acquisition unit 110 acquires the biometric information of students stored in the student information DB 200, and transmits it to the estimation unit 120.

[0021] The estimation unit 120 estimates the emotion of each student based on the biometric information acquired by the acquisition unit 110. The estimation unit 120 estimates, from the acquired biometric information, what emotion the student was in at the time the biometric information was acquired. The estimation unit 120 estimates, as the emotion, for example, at least one of arousal, valence, or emotion.

[0022] Arousal generally indicates the strength or level of an aroused emotion or the physiological activity state of the brain, and can be, for example, an index indicating whether or not a person is sleepy. In such an embodiment, arousal is an index that indicates whether or not a person is sleepy, using a binary value or a scale, with a drowsy state being "-1" and an awake state without sleepiness being "+1." Arousal estimation may be performed using well-known techniques (e.g., International Publication No. WO 2018 / 179289, WO 2018 / 179292, WO 2019 / 146123, WO 2020 / 157989, etc.). For example, the estimation unit 120 may regard the pulse rate as the heart rate and determine the arousal level based on a value equivalent to the average value of RR intervals (average RR interval).

[0023] Valence is an index indicating the directionality of the emotion evoked, and can be, for example, an index indicating whether the emotion is positive or negative. In such an embodiment, valence is an index that represents the directionality of the emotion as a binary value or a scale, with an unpleasant (negative) state being "-1" and a pleasant (positive) state being "+1." Valence estimation may also be performed using well-known techniques (e.g., JP 2019-063324 A, JP 2021-157609 A, etc.). For example, the estimation unit 120 may regard the pulse rate as the heart rate and determine valence based on a value equivalent to the standard deviation of the amplitude of the low-frequency component of the R-R interval (LF (Low Frequency) amplitude standard deviation).

[0024] Emotion is an index of emotion and represents a group of emotions, such as "happy," "relaxed," "angry," and "sad." In this embodiment, emotion is an index representing four emotions, with happy being "1," relaxed being "2," angry being "3," and sad being "4." Emotion estimation may also be performed using well-known techniques (e.g., JP 2019-063324 A, WO 2015 / 182077 A, WO 2019 / 069910 A, WO 2020 / 157988 A, etc.). For example, the estimation unit 120 may regard the pulse rate as the heart rate and determine the emotion based on values ​​corresponding to the average RR interval and LF amplitude standard deviation.

[0025] The estimation unit 120 may estimate emotions other than arousal level, valence, and emotion. Furthermore, the estimation unit 120 may estimate further information related to emotions based on any information among the estimated arousal level, valence, or emotion. The estimation unit 120 records the estimated emotions in the student information DB 200 in association with identification information (student ID) for each student.

[0026] The presentation unit 130 presents condition information including the student's emotion estimated by the estimation unit 120, together with club activity information related to the student's club activity, to the user terminal 400 used by the teacher. The presentation unit 130 presents, as the student's condition information, the emotion estimated by the estimation unit 120 and various biological information measured by the wearable device 300 worn by the student, to the user terminal 400. The presentation unit 130 also presents, as the club activity information related to the student's club activity, the student's club activity type, club activity results, etc. to the user terminal 400.

[0027] The user terminal 400 is an information processing device used by the teacher T, such as a tablet terminal or a personal computer. The teacher T obtains information about the condition of the students and information about club activities via the display unit of the user terminal 400.

[0028] In this way, by presenting information about club activities along with information about the student's condition from the presentation unit 130 to the user terminal 400, the teacher T who uses the user terminal 400 can grasp the emotions of the student S and the activity status of the club activities, and can support the teacher T in providing individualized instruction that is suited to each student, taking into consideration not only the academic status but also the status of the club activities. The manner in which the information is presented to the user terminal 400 by the presentation unit 130 will be described later.

[0029] Various types of information related to students are stored in a student information DB 200. The student information DB 200 stores, for example, student condition information 210 as shown in FIG. 3. In the student information DB 200, the condition information 210 is recorded for each student in association with identification information (student ID). The condition information 210 includes biometric information of the student measured by the wearable device 300 and an emotion estimated by the estimation unit 120 of the training support device 100. The biometric information and emotion are recorded as time-series data in association with the measurement time of the biometric information. The condition information 210 may be stored in the student information DB 200, for example, at the timing when the training support device 100 acquires biometric information or estimates an emotion.

[0030] The student information DB 200 also stores basic information 220 of students, such as that shown in Fig. 4. The basic information includes, for example, data on classes taken by the students (class data) 221, data on the students themselves (student data) 223, and data entered by the students (student input data) 225.

[0031] The lesson data 221 is information created for each lesson a student takes, and includes, for example, the lesson time, subject, teacher name, and lesson format (e.g., face-to-face class, online class, etc.). The student data 223 includes, for example, information that identifies the student, such as the student's name and gender, and information related to extracurricular activities, such as the type of extracurricular activity and the student's main achievements in the extracurricular activities. The student input data 225 is, for example, comments that the student inputs to the teacher from their own device. The student input data 225 may be additionally recorded in the student information DB 200. The basic information can be updated at any time. The information related to extracurricular activities in the student data 223 and the student input data 225 may be updated when new information is input by the student or teacher.

[0032] [3. Instruction support method] Hereinafter, a training support method according to an embodiment will be described with reference to Fig. 5. Fig. 5 is a timing chart showing an example of the training support method according to an embodiment. The training support method according to an embodiment is performed by operating the training support device 100.

[0033] (S10, S20: Biometric information acquisition) 4, in the training support method according to one embodiment, first, biological information of the student is acquired by the wearable device 300 worn by the student (S10), and the acquired biological information is transmitted to the training support device 100 at a predetermined timing (S20). The student basically wears the wearable device 300 all the time, and various biological information is measured as data on daily activities. The wearable device 300 transmits the measured biological information to the training support device 100 at a predetermined timing (for example, every hour).

[0034] (S30, S40: Estimating students' emotions) The training support device 100 acquires biometric information of students from the student information DB 200 at a predetermined timing using the acquisition unit 110 (S30), and estimates the student's emotion using the estimation unit 120 (S40). The acquisition unit 110 acquires the student's biometric information from the student information DB 200 at a predetermined timing, for example, every half day or every day. The estimation unit 120 then estimates the student's emotion based on the student's biometric information acquired by the acquisition unit 110. As described above, the estimation unit 120 estimates emotions such as arousal level, emotional valence, and affect. The estimation unit 120 stores the estimated emotion in the student information DB 200.

[0035] Furthermore, the estimation unit 120 may estimate the student's emotions separately into emotions toward schoolwork and emotions toward club activities. For example, emotions toward club activities are estimated based on biometric information measured during a time period when the student is engaged in club activities (e.g., early morning practice time, after school time, etc.). The time period for club activities may be recorded in advance in the student data 223. On the other hand, emotions toward schoolwork are estimated based on biometric information measured during a time period other than club activity time.

[0036] Alternatively, if the wearable device 300 can be configured to distinguish between club activity time periods and other time periods, the student may be able to distinguish whether the measured biological information is from a club activity time period or a other time period by operating the wearable device 300. In this case, the wearable device 300 transmits information for distinguishing the acquisition time period together with the measured biological information to the training support device 100.

[0037] The estimation unit 120 may use different methods to estimate feelings toward schoolwork and feelings toward extracurricular activities. For example, when estimating feelings toward schoolwork, the student's grades, class attendance, assignment submission status, etc. may be taken into consideration. When estimating feelings toward extracurricular activities, the student's grades in extracurricular activities, participation status, etc. may be taken into consideration.

[0038] (S50, S60: Display of condition information and club activity information) Thereafter, the presenting unit 130 presents the condition information including the student's emotions together with the club activity information on the user terminal 400 used by the teacher (S50). The condition information and club activity information are displayed on the display unit of the user terminal 400 based on the information from the presenting unit 130 (S60). Figures 6 to 8 show examples of how the condition information and club activity information are presented on the user terminal 400.

[0039] 6 shows a list screen 500 that displays a list of students taking a certain class, displayed on the display unit 410 of the user terminal 400. The date and time of the class and the name of the class are presented on the list screen 500 as class information 51. Also, student image objects 53 representing the students and club activity objects 55 representing the club activity information of the students are associated with each other and presented on the list screen 500, corresponding to the seating positions in the actual classroom.

[0040] The student image object 53 is an image representing each student, and may be a thumbnail of a student's photo or an illustration. Alternatively, the student image object 53 may be displayed together with the student's name. In this case, the images of the student image objects 53 may all be the same. A club activity object 55 is presented along with the student image object 53 for students who belong to a club activity. The type of club activity may be represented by a mark as shown in FIG. 6. For example, a soccer club member may be represented by a soccer ball, a baseball club member may be represented by a bat and baseball, and a brass band club member may be represented by a musical instrument.

[0041] The student image objects 53 and the club activity objects 55 on the list screen 500 are presented in a differentiated manner so that the student's emotions can be seen. For example, in the example shown in FIG. 6, emotions are represented by four colors: orange, red, blue, and green (note that colors are represented by hatching in FIG. 6). Orange represents "joy," red represents "anger," blue represents "sadness," and green represents "ease." Here, the club activity object 55 represents emotions toward club activities, and the student image object 53 represents emotions toward schoolwork (other than club activities). The emotions toward club activities and the emotions toward schoolwork are each estimated by the estimation unit 120. In this way, by indicating emotions toward club activities and emotions toward schoolwork using different colors, teachers can easily understand whether students are enjoying their classes and club activities.

[0042] In the example of Fig. 6, the emotions of the students are represented by color-coding the objects, but they may be displayed in other ways. For example, the student image objects 53 and the club activity objects 55 may be represented by a pie chart to show the percentages of "happiness," "anger," "sadness," and "ease," respectively. The list screen 500 shown in Fig. 6 can also be displayed on the user terminal 400 in real time during class.

[0043] In addition, when a teacher selects a student image object 53 of one student from the list screen 500 using the user terminal 400, the presentation unit 130 may present detailed information about the selected student on a pop-up screen 510, as shown in Figure 7.

[0044] An example of the pop-up screen 510 is shown in Fig. 8. The pop-up screen 510 has, for example, an academic information area 510A that displays information related to academics, and a club activity information area 510B that displays information related to club activities.

[0045] In the academic information area 510A, for example, an image 611 of the student and basic information 613 such as the student's name, grade, department, etc. are presented. The student's image 611 may be the same as the student image object 53 displayed on the list screen 500 of FIG. 6, or may be a photograph of the student. The academic information area 510A may also present the student's grades, comments entered by the student (student comments), etc. These are basic information about the student and are stored as student data 223 in the student information DB 200. Furthermore, the academic information area 510A may also display, as student condition information 630, sleep time 631, heart rate (pulse rate) 633, body temperature (skin temperature) 635, etc.

[0046] The club activity information area 510B presents, for example, a club activity type 621, club activity performance information 623, and emotion information regarding the club activity 637. The club activity type 621 is information for identifying the club activity and may be the same as the club activity object 55 displayed on the list screen 500 of FIG. 6 or may be text information. The club activity type 621 and the club activity performance information 623 are basic information about the student and are stored as student data 223 in the student information DB 200. The emotion information regarding the club activity 637 is one piece of the student's condition information 630 and presents at least one emotion estimated by the estimation unit 120. For example, FIG. 8 shows the arousal level during the most recent club activity period as time-series data. The arousal level can be calculated based on, for example, the club activity performance and biological information such as pulse rate.

[0047] In this way, by presenting detailed information about the student on the pop-up screen 510, the teacher can get a detailed understanding of the student's status regarding their academic studies and extracurricular activities.

[0048] The training support device 100 may further be prepared to obtain students' impressions of the class, such as how the class progressed and how difficult it was, through a questionnaire. The responses to the questionnaire serve as an indication of each student's level of understanding of the class. FIG. 9 shows an example of a questionnaire screen 800 displayed on the student's terminal 700. The student's terminal 700 may be the same as the wearable terminal 300, or may be another information processing terminal such as a tablet terminal or a personal computer.

[0049] A survey screen 800 is displayed on the display unit 710 of the terminal 700. The survey screen 800 has, for example, a class date selection area 81, a class selection area 83, and a question area 85. The student selects the class date that will be the subject of the survey in the class date selection area 81. The class date can be entered by selecting a calendar object and selecting a date on the calendar. The student also selects the class that will be the subject of the survey in the class selection area 83. Selectable classes are displayed using a pull-down list. The student selects the class for which they will answer the survey from the list. After selecting the class date and class, the student answers the questions displayed in the question area 85. The survey response results are sent from the student's terminal 700 to the teaching support device 100.

[0050] The survey response results are stored, for example, in the student information DB 200. Then, for example, when the presenting unit 130 displays the pop-up screen 510 on the teacher's user terminal 400, the training support device 100 may display the survey response results on the pop-up screen 510. This allows the teacher to understand the students' levels of understanding of the lesson.

[0051] The above describes an instruction support method according to one embodiment. According to the instruction support method according to one embodiment, condition information, including a student's emotions estimated from the student's biometric information, is presented to a user terminal used by a teacher along with club activity information about the student. This allows the teacher to accurately grasp the latest information on the student's academic performance and club activities. As a result, the teacher can be supported in providing individualized instruction tailored to each student while reducing the teacher's workload. Furthermore, because the method can grasp trends in the correlation between the fulfillment level of extra-academic activities (club activities) and academic performance for each student, the teacher can use this information to formulate instructional strategies.

[0052] [4. Program] The program according to the embodiment may be a program that causes a computer to execute the functional units shown in Fig. 1. By installing and executing this program on a computer, the training support device 100 and the training support method according to the embodiment can be realized. In this case, the processor of the computer functions as the acquisition unit 110, the estimation unit 120, and the presentation unit 130 of the training support device 100 and performs processing.

[0053] In one embodiment, the student information DB 200 may be realized by storing the data files constituting it in a storage device such as a hard disk provided in a computer, or may be realized by a storage device of another computer. Examples of the computer include a general-purpose PC, a smartphone, and a tablet terminal device.

[0054] Furthermore, the program according to the embodiment may be executed by a computer system constructed by a plurality of computers. In this case, each computer may function as any one of the acquisition unit 110, the estimation unit 120, and the presentation unit 130. For example, as shown in Fig. 10, the training support device 100 may be configured as a system including a user-side device 10A having the acquisition unit 110 and the presentation unit 130, and a server-side device 10B having the estimation unit 120.

[0055] 10, the user-side device 10A acquires biological information of a student measured using a wearable device 300 worn by the student, using the acquisition unit 110. The user-side device 10A also displays, via the presentation unit 130, condition information including the student's emotions estimated by the server-side device 10B, together with information about the student's extracurricular activities, on the user terminal 400. Meanwhile, the server-side device 10B estimates the student's condition, including the student's emotions, based on the biological information acquired by the user-side device 10A, and transmits the estimated condition information to the user-side device 10A.

[0056] [5.Physical configuration] The physical configuration of a computer that implements the training support device 100 by executing the program according to the embodiment will be described with reference to Fig. 11. Fig. 11 is a block diagram showing an example of a computer 900 that implements the training support device 100 according to the embodiment.

[0057] 11, a computer 900 includes a CPU (Central Processing Unit) 901, a main memory 902, a storage device 903, an input interface 904, a display controller 905, a data reader / writer 906, and a communication interface 907. These components are connected to each other via a bus 911 so as to be able to communicate data with each other.

[0058] Furthermore, the computer 900 may include a GPU (Graphics Processing Unit) or an FPGA (Field-Programmable Gate Array) in addition to or instead of the CPU 901. In this aspect, the GPU or FPGA can execute the programs in the above-described embodiments.

[0059] The CPU 901 loads a program in the embodiment, which is composed of a group of codes and stored in the storage device 903, into the main memory 902 and executes each code in a predetermined order to perform various calculations. The main memory 902 is typically a volatile storage device such as a DRAM (Dynamic Random Access Memory).

[0060] The programs according to the above-described embodiments are provided in a state stored in a computer-readable recording medium 910. The programs according to the above-described embodiments may be distributed over the Internet connected via the communication interface 907.

[0061] Specific examples of the storage device 903 include a hard disk drive and a semiconductor storage device such as a flash memory. The input interface 904 mediates data transmission between the CPU 901 and input devices 908 such as a keyboard and a mouse. The display controller 905 is connected to a display device 909 and controls the display on the display device 909.

[0062] The data reader / writer 906 mediates data transmission between the CPU 901 and the recording medium 910, reads programs from the recording medium 910, and writes processing results from the computer 900 to the recording medium 910. The communication interface 907 mediates data transmission between the CPU 901 and other computers.

[0063] Specific examples of the recording medium 910 include general-purpose semiconductor storage devices such as CF (Compact Flash (registered trademark)) and SD (Secure Digital), magnetic recording media such as flexible disks, or optical recording media such as CD-ROMs (Compact Disk Read Only Memory).

[0064] The training support device 100 according to the above embodiment can be realized by using hardware corresponding to each unit, instead of a computer on which a program is installed. Furthermore, the training support device 100 may be partially realized by a program and the remaining unit by hardware.

[0065] Some or all of the above-described embodiments can be expressed by (Supplementary Note 1) to (Supplementary Note 19) described below, but are not limited to the following descriptions.

[0066] (Appendix 1) an acquisition unit that acquires biological information of the student measured using a wearable device worn by the student; an estimation unit that estimates the emotion of the student based on the acquired biometric information; a presentation unit that presents condition information including the emotion of the student, together with club activity information related to the club activity of the student, on a user terminal used by a teacher.

[0067] (Appendix 2) The teaching support device according to claim 1, wherein the presentation unit divides the condition information into academic condition information and club activity condition information based on the measurement time of the biological information.

[0068] (Appendix 3) The presentation unit for each of a plurality of students, a student image object representing the student is associated with a club activity object representing the club activity of the student, and the associated student image object and the associated club activity object are presented as a list on the user terminal; The student image objects are displayed in different colors according to their feelings about their studies; 3. The training support device according to claim 1, wherein the club activity object is presented in a different color depending on the feelings toward the club activity.

[0069] (Appendix 4) When the student image object of one student is selected from the list, 4. The teaching support device according to claim 3, wherein the presentation unit presents detailed information of the selected student on the user terminal using a pop-up screen.

[0070] (Appendix 5) 5. The teaching support device according to claim 4, wherein the presentation unit further presents, on the pop-up screen, the results of a survey regarding the students' understanding of the lesson.

[0071] (Appendix 6) 6. The training support device according to claim 1, wherein the estimation unit estimates at least one of arousal level, emotional valence, or emotion as the emotion.

[0072] (Appendix 7) The student's biological information measured using a wearable device attached to the student is acquired, Estimating the emotion of the student based on the acquired biometric information; A teaching support method comprising presenting condition information including the emotion of the student, together with club activity information relating to the club activity of the student, on a user terminal used by a teacher.

[0073] (Appendix 8) The coaching support method described in Appendix 7, wherein the condition information is divided into academic condition information and club activity condition information based on the measurement time of the biological information.

[0074] (Appendix 9) for each of a plurality of students, a student image object representing the student is associated with a club activity object representing the club activity of the student, and the associated student image object and the associated club activity object are presented as a list on the user terminal; The student image objects are displayed in different colors according to their feelings about their studies; 9. The coaching support method according to claim 7 or 8, wherein the club activity object is presented in a different color depending on the feelings toward the club activity.

[0075] (Appendix 10) When the student image object of one student is selected from the list, 10. The teaching support method according to claim 9, wherein detailed information of the selected student is presented on the user terminal via a pop-up screen.

[0076] (Appendix 11) 11. The teaching support method according to claim 10, further comprising presenting the results of a survey regarding the student's level of understanding of the lesson on the pop-up screen.

[0077] (Appendix 12) 12. The training support method according to any one of appendices 7 to 11, wherein at least one of arousal, emotional valence, and affect is estimated as the emotion.

[0078] (Appendix 13) computer of , an acquisition unit that acquires biological information of the student measured using a wearable device worn by the student; an estimation unit that estimates the emotion of the student based on the acquired biometric information; a presentation unit that presents condition information including the emotion of the student on a user terminal used by a teacher together with club activity information related to the club activity of the student. Hmm.

[0079] (Appendix 14) before Information presentation section teethThe condition information is divided into academic condition information and club activity condition information based on the measurement time of the biological information. As described in Appendix 13 Program Hmm.

[0080] (Appendix 15) before Information presentation section teeth , for each of a plurality of students, a student image object representing the student is associated with a club activity object representing the club activity of the student, and the associated student image object and the associated club activity object are presented as a list on the user terminal; The student image objects are displayed in different colors according to their feelings about their studies; The club activity object is displayed in a different color depending on the feelings toward the club activity. Supplementary Note 13 or 14 Program Hmm.

[0081] (Appendix 16) before When the student image object of one student is selected from the list, the presentation unit teeth , presenting detailed information of the selected student on the user terminal via a pop-up screen; As described in Appendix 15 Program Hmm.

[0082] (Appendix 17) before Information presentation section teeth , and further presenting the results of a survey regarding the student's understanding of the lesson on the pop-up screen. As described in Appendix 16 Program Hmm.

[0083] (Appendix 18) before Estimation part teeth As the emotion, at least one of arousal level, emotional valence, or affect is estimated. Any one of Supplementary Notes 13 to 17 Program Hmm.

[0084] (Appendix 19) A wearable device that measures the biometric information of the student wearing it, User terminals used by faculty members; a training support device that displays the condition of the student on the user terminal; Including, The training support device includes: an acquisition unit that acquires biological information of the student measured using the wearable device; an estimation unit that estimates the emotion of the student based on the acquired biometric information; A teaching support system having a presentation unit that presents condition information including the student's emotions on the user terminal together with club activity information related to the student's club activities.

[0085] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-described embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. [Industrial Applicability]

[0086] As described above, the present disclosure can support teachers in teaching students. The present disclosure is useful in the field of educational support. [Explanation of symbols]

[0087] 1. Teaching Support System 10A User side equipment 10B Server side device 100 Teaching support equipment 110 Acquisition Department 120 Estimation part 130 Presentation section 200 Student Information DB 221 Lesson Data 223 Student Data 225 Student Input Data 300 Wearable Devices 400 User Terminals 500 List screen 510 Pop-up Screen 700 (student) devices 800 Survey screen 900 Computers 901 CPU 902 Main Memory 903 Storage device 904 Input Interface 905 Display Controller 906 Data Reader / Writer 907 Communication Interface 908 Input Devices 909 Display Device 910 Recording Media 911 Bus

Claims

1. An acquisition means for acquiring biometric information of each student measured using a wearable device attached to the student; an estimation means for calculating an average R-R interval, which regards the pulse rate included in the acquired biological information as a heart rate, and a standard deviation of the amplitude of a low-frequency component of the R-R interval, and estimating one or more of arousal level, emotional valence, and emotion for each student based on the calculated average R-R interval and the standard deviation of the amplitude of the low-frequency component; a presentation means for presenting condition information including the emotion of each of the students together with club activity information indicating the type of club activity to which the student belongs on a user terminal used by a teacher; Furthermore, the presenting means classifies the condition information into condition information for a school time period and condition information for a club activity time period based on the measurement time of the biological information. Instructional support equipment.

2. The presentation means for each of a plurality of students, a student image object representing the student is associated with a club activity object representing the club activity of the student, and the associated student image object and the associated club activity object are presented as a list on the user terminal; The student image objects are displayed in different colors according to their feelings about their studies; The training support device according to claim 1 , wherein the club activity objects are presented in different colors according to feelings toward the club activity.

3. When the student image object of one student is selected from the list, The teaching support device according to claim 2 , wherein the presenting means presents detailed information of the selected student on the user terminal in the form of a pop-up screen.

4. 4. The teaching support device according to claim 3, wherein said presenting means further presents, on said pop-up screen, the results of a questionnaire regarding the students' understanding of the lesson.

5. The computer The biometric information of each student is measured using a wearable device attached to the student, and calculating an average R-R interval, where the pulse rate included in the acquired biological information is regarded as a heart rate, and a standard deviation of the amplitude of a low-frequency component of the R-R interval; and estimating one or more of arousal level, emotional valence, and emotion for each student based on the calculated average R-R interval and the standard deviation of the amplitude of the low-frequency component; presenting condition information including the emotion of each of the students together with club activity information indicating the type of club activity to which the student belongs on a user terminal used by a teacher; Furthermore, the condition information is divided into condition information for a school time period and condition information for a club activity time period based on the measurement time of the biological information. Instructional support methods.

6. On the computer, The biometric information of each student is measured using a wearable device attached to the student, and calculating an average R-R interval, where the pulse rate included in the acquired biological information is regarded as a heart rate, and a standard deviation of the amplitude of a low-frequency component of the R-R interval; and estimating one or more of arousal level, emotional valence, and emotion for each student based on the calculated average R-R interval and the standard deviation of the amplitude of the low-frequency component; presenting condition information including the emotion of each of the students together with club activity information indicating the type of club activity to which the student belongs on a user terminal used by a teacher; Furthermore, the condition information is divided into condition information for a school time period and condition information for a club activity time period based on the measurement time of the biological information. A program for executing a process.

Citation Information

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