Management method and management apparatus

Abstract

To provide a management program or the like for extracting a student to be noticed from a plurality of students who are learning by using a terminal.SOLUTION: The management program causes a computer to execute a management method for managing learning statuses of a plurality of students who individually use student terminals having at least a display unit in a class. The management method includes sequentially acquiring, from each of a plurality of student terminals, identification data of a student and change data related to a change in a learning image that is an image related to learning of the student displayed on a display unit at a plurality of different times, acquiring a learning change rate indicating a temporal change in learning of each student generated based on the change data, calculating a statistical value from the learning change rate in each of the student terminals used by the plurality of students taking a class, and extracting, based on the statistical value, identification data of a student associated with a learning change rate exceeding a predetermined threshold range in a displayable manner.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

[0002] There are increasing opportunities for teachers to use terminals with display units when teaching students, etc., and various proposals for using terminals in lessons have been disclosed.

[0003] For example, according to Patent Document 1, an information processing device acquires at least one of first screen information and operation information displayed on a plurality of first communication devices, and determines whether a predetermined operation has been performed.

[0004] In addition, the information processing device described in Patent Document 2 stores student identification information and grade information in association with each other, creates a graph displaying test scores, identifies students whose grade fluctuations exceed a threshold, and displays them separately from other students.

[0005] The information processing device described in Patent Document 3 acquires operation history information for a learner terminal, estimates the learner's concentration level based on the operation history information, and changes the display on the administrator terminal according to the concentration level. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Japanese Patent Application Publication No. 2024-036811 [Patent Document 2] Japanese Patent Application Publication No. 2023-127234 [Patent Document 3] Japanese Patent Application Laid-Open No. 2013-242434 Summary of the Invention [Problem to be solved by the invention]

[0007] However, it is difficult for teachers to appropriately select students who deserve attention from among the multiple students who are using devices to study.

[0008] In view of the above-mentioned problems, the present disclosure aims to provide a management program or the like for suitably extracting noteworthy students from among a plurality of students who are studying using terminals. [Means for solving the problem]

[0009] The management program according to the present disclosure causes a computer to execute a management method for managing the learning status of multiple students who individually use student terminals, each having at least a display unit, in a class. The management method includes a student data acquisition step, a change rate acquisition step, and an extraction step. The student data acquisition step sequentially acquires, from each of the multiple student terminals, student identification data and change data relating to changes in learning images, which are images relating to the student's learning displayed on the display unit at multiple different times. The change rate acquisition step acquires a learning change rate, which indicates changes over time in the learning of each student, generated based on the change data. The extraction step calculates statistical values ​​from the learning change rates of each of the multiple student terminals taking the class, and, based on the statistical values, extracts, in a displayable manner, student identification data associated with learning change rates that exceed a predetermined threshold range.

[0010] The management method disclosed herein is a management method in which a computer manages the learning status of multiple students who individually use student terminals each having at least a display unit in a class. The computer sequentially acquires, from each of the multiple student terminals, student identification data and change data relating to changes in learning images, which are images relating to the student's learning and displayed on the display unit at multiple different times. The computer acquires a learning change rate, which indicates changes in each student's learning over time, generated based on the change data. The computer calculates statistical values ​​from the learning change rates of each of the multiple student terminals taking the class, and, based on the statistical values, extracts, in a displayable manner, student identification data associated with learning change rates that exceed a predetermined threshold range.

[0011] The management device according to the present disclosure manages the learning status of multiple students who individually use student terminals, each having at least a display unit, in class. The management device includes a student data acquisition unit, a change rate acquisition unit, and an extraction unit. The student data acquisition unit sequentially acquires, from each of the multiple student terminals, student identification data and change data relating to changes in learning images, which are images relating to the student's learning and displayed on the display unit at multiple different times. The change rate acquisition unit acquires a learning change rate, which indicates changes in each student's learning over time, generated based on the change data. The extraction unit calculates statistical values ​​from the learning change rates of each of the multiple student terminals taking the class, and, based on the statistical values, extracts, in a displayable manner, student identification data associated with learning change rates that exceed a predetermined threshold range. [Effects of the Invention]

[0012] According to the present disclosure, it is possible to provide a management program, a management method, and a management device for suitably extracting noteworthy students from among a plurality of students who are studying using terminals. [Brief explanation of the drawings]

[0013] [Figure 1] FIG. 1 is a block diagram of a management system according to a first embodiment. [Figure 2] FIG. 2 is a block diagram of a management device according to the first embodiment. [Figure 3] FIG. 2 is a block diagram of a student terminal according to the first embodiment. [Figure 4] FIG. 2 is a block diagram illustrating an example of a hardware configuration of a computer. [Figure 5] 3 is a flowchart of a management method according to the first embodiment. [Figure 6] FIG. 10 is a diagram for explaining change data of a student terminal. [Figure 7] FIG. 10 is a block diagram of a management device according to a second embodiment. [Figure 8] 10 is a flowchart of a management method according to a second embodiment. [Figure 9]FIG. 10 is a first diagram showing a display mode of a learned change rate. [Figure 10] FIG. 10 is a second diagram showing a display mode of the learned change rate. [Figure 11] FIG. 11 is a block diagram of a management device according to a third embodiment. [Figure 12] 10 is a flowchart of a management method according to a third embodiment. [Figure 13] FIG. 11 is a diagram showing an image on a display unit according to the third embodiment. [Figure 14] FIG. 10 is a block diagram of a management device according to a fourth embodiment. [Figure 15] 10 is a flowchart of a management method according to a fourth embodiment. [Figure 16] FIG. 10 is a first diagram showing an image on a display unit according to a fourth embodiment. [Figure 17] FIG. 10 is a second diagram showing an image on the display unit according to the fourth embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0014] The present invention will be described below through embodiments of the invention, but the invention according to the claims is not limited to the following embodiments. Furthermore, not all of the configurations described in the embodiments are necessarily essential means for solving the problems. For clarity of explanation, the following description and drawings have been omitted and simplified as appropriate. Note that in each drawing, the same elements are given the same reference numerals, and duplicate explanations are omitted as necessary.

[0015] First Embodiment (Management System 1) FIG. 1 is a block diagram of a management system 1 according to a first embodiment. The management system 1 is used to manage the learning status of multiple students in classrooms in schools, cram schools, etc. The management system 1 mainly comprises a management device 100 and student terminals 200. The management device 100 and student terminals 200 are communicatively connected via a network N1. The network N1 is, for example, a LAN (Local Area Network) that uses a router that controls an indoor communication network.

[0016] 1, the management system 1 in this embodiment has multiple student terminals 200 (first student terminal 200A, second student terminal 200B, third student terminal 200C, etc.). In the following description, the multiple student terminals 200 may be simply referred to as student terminals 200.

[0017] (Management device 100) FIG. 2 is a block diagram of the management device 100 according to the first embodiment. The management device 100 is used by an administrator such as a teacher who teaches a class in a classroom. The management device 100 is, for example, a computer with communication and calculation functions, such as a tablet terminal, a personal computer, or a smartphone. The management device 100 manages the learning status of multiple students who individually use student terminals 200, each having at least a display unit, in class. The management device 100 mainly comprises a student data acquisition unit 110, a change rate acquisition unit 120, and an extraction unit 130.

[0018] The student data acquisition unit 110 sequentially acquires, from each of the multiple student terminals 200, student identification data and change data relating to changes in learning images, which are images related to the student's learning and displayed on the display unit of the student terminal 200 at multiple different times.

[0019] The identification data is an identifier held by each student who uses the student terminal 200. Examples of the identification data include an account name, a student name, and an attendance number. For example, when a student starts using the student terminal 200, the student logs in to the learning application on the student terminal 200 using their own identifier or biometric authentication. In other words, the identification data is not dependent on the hardware. However, if the student terminal 200 and the student's identification data are uniquely linked, the identification data may be linked to the student terminal 200.

[0020] A study image refers to an image displayed on the display unit of the student terminal 200 during a study time such as a class. The study image may be an image of the entire area of ​​the display unit, or an image of a defined predetermined range.

[0021] The change data is data relating to changes in the learning image displayed on the display unit of the student terminal 200 at multiple different times. The student data acquisition unit 110 acquires data relating to the amount of change in pixel values ​​of the learning image at multiple different times as the change data.

[0022] More specifically, for example, the student data acquisition unit 110 acquires, as variation data, the proportion of pixels whose pixel values ​​have changed at a plurality of different times in the learning image. Details of the variation data will be described later.

[0023] The change rate acquisition unit 120 acquires a learning change rate that indicates a change over time in the learning of each student, which is generated based on the change data. The learning change rate is, for example, the degree to which the learning image has changed, expressed as a percentage. In this case, a learning change rate of zero indicates that there has been no change at all. In this case, the greater the change in the learning image, the closer the learning change rate is to 100. The change rate acquisition unit 120 calculates the change rate from the change data. The change rate acquisition unit 120 may acquire the change data directly as the change rate.

[0024] The change rate acquisition unit 120 may acquire the transition of the learning change rate of each student from a moving average of the change data. The change rate acquisition unit 120 may acquire the change rate by calculating a moving average or a weighted average of the change data from the most recently received change data at multiple different times. By performing such processing, the management device 100 can suppress processing using transient data.

[0025] The extraction unit 130 calculates statistical values ​​from the learning change rates of each of the student terminals 200 used by multiple students taking the class, and extracts, based on the statistical values, identification data associated with learning change rates that exceed a predetermined threshold range in a displayable manner. In this case, the statistical value is, for example, a standard deviation. The threshold range in this case is, for example, a predetermined range of deviation values. Specifically, for example, the threshold range is set to a deviation value of 40 to 60. The statistical value may be the average value of the learning change rates. In this case, the threshold range may be an upper limit value and a lower limit value that straddle the average value. The identification data extracted by the extraction unit 130 is displayed on the display unit of the management device 100.

[0026] When the management device 100 immediately displays the identification data extracted by the extraction unit 130, the management device 100 can notify the teacher or the like who is teaching the class of information about students whose learning situations are different from other students in the class. Furthermore, when the management device 100 displays the identification data extracted by the extraction unit 130 after the class, for example, in response to an operation by the user of the management device 100, the management device 100 can provide the teacher or the like who is reviewing the class with information about students whose learning situations are different from other students.

[0027] 3 is a block diagram of a student terminal 200 according to the first embodiment. The management device 100 is a computer having communication and calculation functions, such as a tablet terminal, a personal computer, or a smartphone. The student terminal 200 mainly includes a learning program execution unit 210, a display control unit 220, an operation reception unit 230, and a change data generation unit 240.

[0028] The learning program execution unit 210 executes the learning program used by the students in class. When the learning program execution unit 210 executes the learning program, the student terminal 200 displays learning images on the display unit. The learning program may be one that is pre-stored in the student terminal 200, or one that is downloaded via the network N1. The learning program may be one in which all students learn the same content, or one in which the content changes interactively in response to the students' operations.

[0029] The display control unit 220 controls the display unit of the student terminal 200. More specifically, the display control unit 220 controls the display of content in accordance with the learning program. When the student performs a predetermined operation, the display control unit 220 controls the display in accordance with the operation. Furthermore, when the student performs a predetermined operation, the display control unit 220 superimposes characters or images input by the student on the learning image.

[0030] The operation receiving unit 230 receives operations performed by students using the student terminal 200. For example, the operation receiving unit 230 receives operations related to the execution or termination of a learning program. The operation receiving unit 230 also receives operations by students to input characters, images, etc.

[0031] The variation data generation unit 240 generates variation data from the learning image of the student terminal 200. More specifically, the variation data generation unit 240 acquires image data of the learning image at predetermined time intervals (for example, every 10 seconds) and measures the difference from the image data acquired immediately before. In this case, the difference of the learning image is a value indicating the degree of change in the image. The variation data will be described later.

[0032] (Example of hardware configuration) Fig. 4 is a block diagram illustrating an example of the hardware configuration of a computer. The above-mentioned management device 100 and student terminal 200 may have the configuration shown in Fig. 4. The computer 1000 has a bus 1010, a processor 1020, a memory 1030, a storage device 1040, an input / output interface 1050, and a network interface 1060.

[0033] The bus 1010 is a data transmission path for transmitting and receiving data among the processor 1020, memory 1030, storage device 1040, input / output interface 1050, and network interface 1060. However, the method of connecting the processor 1020 and the like to each other is not limited to bus connection.

[0034] The processor 1020 is a circuit including an arithmetic unit such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit).

[0035] The memory 1030 is a main storage device realized using a RAM (Random Access Memory) or the like.

[0036] The storage device 1040 is an auxiliary storage device such as a hard disk drive (HDD), a solid state drive (SSD), a flash memory, or a read only memory (ROM), etc. The storage device 1040 stores programs for realizing the functions of the present disclosure.

[0037] The processor 1020 reads the program into the memory 1030 and executes it, thereby causing the processor 1020 to execute the functions corresponding to the program. In other words, the program stored in the memory 1030 causes the computer 1000 to execute the functions of the present disclosure.

[0038] The input / output interface 1050 connects the computer 1000 to a predetermined input / output device. The input / output device is, for example, an input device such as a keyboard, an output device such as a display, or an input / output device in which a touch panel is superimposed on a display.

[0039] The network interface 1060 is an interface for connecting the computer 1000 to a predetermined communication network.

[0040] (Management method) Fig. 5 is a flowchart of the management method according to the first embodiment. The management method in Fig. 5 shows processing executed by the management device 100. In the management method, the management device 100 manages the learning status of multiple students who individually use student terminals 200, each having at least a display unit, in class.

[0041] In step S11, the student data acquisition unit 110 acquires the identification data and change data of the student terminal 200 from each of the multiple student terminals 200 in sequence.

[0042] In step S12, the change rate acquisition unit 120 acquires a learning change rate that indicates a change over time in the learning of each student, which is generated based on the change data.

[0043] In step S13, the extraction unit 130 calculates statistical values ​​from the learning change rates of each of the multiple student terminals 200 attending the class, and extracts, based on the statistical values, the identification data of the students associated with the learning change rates that exceed a predetermined threshold range in a displayable manner. When the extraction unit 130 extracts the student identification data, the management device 100 ends the series of processes.

[0044] (Change data) The change data will be described in detail with reference to Fig. 6. Fig. 6 is a diagram for explaining the change data of the student terminal 200. The student terminal 200 shown in Fig. 6 has a display unit 221 at time t. The display unit 221 is a rectangular display using liquid crystal or organic electroluminescence.

[0045] The position of each unit of the image (image unit) displayed by the display unit 221 is indicated by the X coordinate in the horizontal direction and the Y coordinate in the vertical direction, with the upper left corner as the reference point. Here, the image unit is, for example, one pixel. In this case, the pixel value of the image unit at the nth position in the X-axis direction and the mth position in the Y-axis direction is C(Xn, Ym). The pixel value at time t is Ct(Xn, Ym).

[0046] Based on the above definitions, the pixel value of an image unit at a position that is nth in the X-axis direction and mth in the Y-axis direction at time t1 is Ct1(Xn,Ym).Furthermore, the pixel value of an image unit at a position that is nth in the X-axis direction and mth in the Y-axis direction at time t2, which is a time after time t1, is Ct2(Xn,Ym).In this case, the pixel value difference Dt2 at time t2 is calculated as follows:

number

[0047] Next, the change data generation unit 240 calculates, as change data, the proportion of image units whose pixel value difference Dt2 is equal to or greater than a threshold value among all image units. The change data is expressed, for example, by a numerical value between zero and one. The change data may also be expressed as a percentage. The threshold value can be set to any value between one and the maximum pixel value. If the threshold value is one, the change data will be zero if the image on the display unit 221 has not changed at all.

[0048] The variation data generating unit 240 calculates the variation data described above at predetermined time intervals. The student terminal 200 supplies the variation data calculated by the variation data generating unit 240 to the management device 100 at predetermined time intervals. The predetermined time intervals are, for example, 5 seconds, 10 seconds, 30 seconds, etc.

[0049] As described above, the student terminal 200 supplies the change data to the management device 100 at predetermined time intervals. In other words, the student data acquisition unit 110 acquires, as change data, the proportion of pixels in the learning image whose pixel values ​​have changed at multiple different times.

[0050] In the above description, one image unit has one pixel value. However, if one image unit contains, for example, red, green, and blue elements, the pixel value in one image unit may have separate red, green, and blue pixel values. Instead of a single pixel, the image unit may be a group of multiple pixels, such as 4x4 pixels. In this case, the pixel value of the image unit may be, for example, the average value of the pixel values ​​of each pixel.

[0051] Although the management system 1 has been described above, the management system 1 is not limited to the above configuration. In addition to use in a classroom, the management system 1 may also be used for online classes conducted by students and teachers at remote locations. In this case, the network N1 used by the management system 1 may be a predetermined WAN (Wide Area Network) instead of a LAN. Furthermore, the management system 1 may achieve the above-mentioned functions by direct communication between the management device 100 and the student terminals 200 without going through the network N1.

[0052] The first embodiment has been described above. According to the first embodiment, the management device 100 compares the rate of change of the learning image of one student with the rate of change of other students at the same time. This allows the management device 100 to appropriately grasp the status of students who should be noted by a teacher or other person in a class. In other words, according to this embodiment, it is possible to provide a management program, a management method, and a management device for appropriately extracting students who should be noted from multiple students who are studying using terminals.

[0053] Second Embodiment Next, a second embodiment will be described. The second embodiment differs from the first embodiment in that the management device 100 has a function of displaying the learning change rate.

[0054] 7 is a block diagram of a management device according to the second embodiment. The management device 100 according to the second embodiment has a display control unit 140. The display control unit 140 causes a predetermined display device to display the learning change rate associated with the identification data extracted by the extraction unit 130 in a manner that allows comparison with statistical values ​​of the learning change rates of multiple students who have attended the class. The predetermined display device is a display device included in the management device 100.

[0055] Fig. 8 is a flowchart of a management method according to the second embodiment. The flowchart shown in Fig. 8 differs from the flowchart shown in Fig. 5 in that it includes step S21 after step S12 and step S22 after step S13.

[0056] In step S21, the extraction unit 130 calculates a statistical value from the learning change rate of each of the multiple student terminals 200 taking the class. Next, the extraction unit 130 compares the calculated statistical value with the learning change rate of each student, and determines whether or not there is data that exceeds the threshold range. If it is determined that there is data that exceeds the threshold range (step S21: YES), the management device 100 proceeds to step S13. If it is not determined that there is data that exceeds the threshold range (step S21: NO), the management device 100 ends the series of processes.

[0057] In step S13, the extraction unit 130 extracts the identification data of the student associated with the learning change rate exceeding the predetermined threshold range in a displayable manner. The extraction unit 130 supplies information about the extracted identification data to the display control unit 140.

[0058] In step S22, the display control unit 140 displays, on a predetermined display device, the learning change rate associated with the identification data extracted by the extraction unit 130 in a manner that allows comparison with the statistical values ​​of the learning change rates of multiple students who attended the class. When the display control unit 140 displays the learning change rate, the management device 100 ends the series of processes.

[0059] 9 is a first diagram showing a display mode of the learned change rate. FIG. 9 shows a management image 141 displayed on a display device included in the management device 100. The management image 141 includes a first graph 142 and a selection display 143.

[0060] The first graph 142 shows the change in the learning change rate over time. The vertical axis of the first graph 142 is the learning change rate. The horizontal axis of the first graph 142 is time. Three lines are plotted on the first graph 142. The first data L11 shown by the two-dot chain line is data on the average value of the learning change rate. The second data L12 shown by the dotted line is data on the learning change rate associated with the identification data P002. The third data L13 shown by the solid line is data on the learning change rate associated with the identification data P003.

[0061] The selection display 143 includes the identification data of the students. The identification data is shown as P001, P002, P003, P004, ... The selection display 143 further includes "average." Check boxes that can be individually selected are provided near these items included in the selection display 143. A teacher or other person using the management device 100 selects the data to be displayed in the first graph 142 by checking the check boxes.

[0062] In the management image 141 described above, the learning change rate of the identified data P002 is similar to the average data. On the other hand, the learning change rate of the identified data P003 shows a value that is significantly different from the average data between time T1 and time T2. In other words, the first graph 142 shows that the learning situation of the student identified data P003 was different from that of the other students between time T1 and time T2. More specifically, for example, around time T1, the average data is between 50 and 70, while the identification data P003 fluctuates around 20. This indicates that the student identified data P003 is not performing the operations that the other students in the class are performing.

[0063] 10 is a second diagram showing a display mode of the learning change rate. A management image 141 shown in FIG.

[0064] The vertical axis of second graph 144 is the learning change rate. Second graph 144 shows selected data at any time, arranged horizontally in rectangular displays. The time of the displayed data is shown below second graph 144. A seek bar 145 is located below the time display.

[0065] The seek bar 145 indicates the time of the learning change rate displayed in the second graph 144. A teacher or other person viewing the management image 141 can observe the learning change rate at a desired time by manipulating the position of the tip of the seek bar 145. The operation button 146 advances the second graph 144 over time or temporarily stops its progression.

[0066] 10 shows the learning change rates of the average data, identified data P002, identified data P003, etc. at 11:08:17. According to second graph 144, the learning change rate of identified data P003 at 11:08:17 is significantly different from the learning change rates or average data of the other students. In other words, second graph 144 shows that the learning situation of the student identified data P003 was different from the other students at that time.

[0067] The second embodiment has been described above. According to the second embodiment, the management device 100 displays the rate of change in the learning image of one student in a manner that allows comparison with the rate of change in other students at the same time. Therefore, the management device 100 can provide teachers and others with information about the status of students who deserve attention in class. Therefore, by viewing the graphs displayed by the management device 100, teachers and others can intuitively grasp the overall status of students relative to the progress of the class and students whose trends differ from the overall trend. Alternatively, when a teacher instructs a student to perform some operation on a student's terminal, the teacher can easily identify students whose learning images have not changed. In other words, this embodiment provides a management program, management method, and management device for optimally extracting noteworthy students from multiple students studying using terminals.

[0068] <Third embodiment> Next, a third embodiment will be described. Fig. 11 is a block diagram of a management device 100 according to the third embodiment. The management device 100 of the third embodiment differs from the above-described embodiments in that it includes a learning image acquisition unit 150 and a reproduction data generation unit 160.

[0069] The learning image acquisition unit 150 acquires learning images from each of the student terminals 200. The timing at which the learning image acquisition unit 150 acquires the learning images corresponds to the timing at which the student data acquisition unit 110 acquires the variation data. This allows the management device 100 to process the variation data in association with the learning images.

[0070] Based on the change data of the student terminal 200 extracted by the extraction unit 130, the playback data generation unit 160 generates playback data for one student, including the learning image at the time when the learning change rate exceeded the threshold range. In this case, the playback data may display all of the learning images linked to the extracted identification data in chronological order. The playback data may also display some of the learning images linked to the extracted identification data in chronological order. Furthermore, the playback data may also display a plurality of learning images, including the learning image linked to the extracted identification data, connected together in chronological order.

[0071] The display control unit 140 in this embodiment displays the extracted identification data and also causes the playback data generated by the playback data generation unit 160 to be displayed on the display device.

[0072] Fig. 12 is a flowchart of a management method according to the third embodiment. The flowchart shown in Fig. 12 differs from the flowchart shown in Fig. 8 in that it includes step S31 instead of step S11 and step S32 instead of step S22.

[0073] In step S31, the student data acquisition unit 110 acquires the identification data and the variation data from each of the student terminals 200. In addition, the learning image acquisition unit 150 acquires the learning images from each of the student terminals 200.

[0074] In step S32, the playback data generation unit 160 generates playback data for one student, including the learning image at the time when the learning change rate exceeded the threshold range, based on the change data of the student terminal 200 extracted by the extraction unit 130. Furthermore, the display control unit 140 displays the extracted identification data and causes the display device to display the learning image corresponding to the extracted identification data. At this time, the display control unit 140 displays the playback data generated by the playback data generation unit 160.

[0075] 13 is a diagram showing an image on a display unit according to the third embodiment. A management image 141 shown in FIG. 13 includes a first graph 142, a seek bar 145, operation buttons 146, an information display section 147, and a reproduced image 148.

[0076] 13 includes at least third data L13 related to the extracted identification data. The first graph 142 further includes first data L11, which is average data.

[0077] The information display section 147 displays information related to the playback image. Specifically, the information display section 147 displays the type of playback image, the student ID, the date and time, and the time. The playback image 148 displays image data generated by the playback data generation section 160. The type of playback image may be, for example, a time lapse image, a full playback image, etc.

[0078] In the above configuration, the management image 141 shown in Fig. 13 is a state in which a time-lapse image of the extracted identification data P003 is being played back. By playing back such an image, the management device 100 presents the learning status of each student to a teacher or the like.

[0079] The third embodiment has been described above. According to the third embodiment, the management device 100 displays a playback image of the learning image of one extracted student. Therefore, the management device 100 can present the status of a notable student in an analyzable manner. Furthermore, the management device 100 narrows down the displayed status to situations in which a notable student performed operations different from those of other students. This allows teachers and others to reduce the time it takes to determine whether there is anything noteworthy about a student's learning status. In other words, according to this embodiment, a management program, management method, and management device can be provided for suitably extracting a notable student from multiple students who are studying using terminals.

[0080] <Fourth embodiment> Next, a fourth embodiment will be described. Fig. 14 is a block diagram of a management device 100 according to the fourth embodiment. The management device 100 according to this embodiment differs from the management device 100 described above in that it includes an alert output unit 170.

[0081] The alert output unit 170 outputs an alert regarding the identification data of a student whose learning change rate exceeds the threshold range. The alert may be in any form that allows a teacher or the like to recognize the identification data. Specifically, the alert may be, for example, text information, a predetermined image display, a sound, or a combination of these.

[0082] The alert output unit 170 may have multiple alert levels depending on the magnitude of deviation from the threshold range or the length of time for which deviation occurs. For example, the alert output unit 170 may have two alert levels and may have an alert format corresponding to the level.

[0083] For example, the alert output unit 170 may set the form or color of the image to be displayed on the screen to be different when the deviation from the statistical value of the learning change rate is relatively small and when the deviation is relatively large.

[0084] Alternatively, the alert output unit 170 may set different formats or colors of images to be displayed on the screen depending on the length of time during which the learned change rate deviates from the statistical value.

[0085] The learning image acquisition unit 150 in this embodiment acquires learning images from each of the student terminals. The display control unit 140 in this embodiment may display a list of the acquired learning images on a display unit of the management device 100. In this case, the display control unit 140 may display the learning image at the time when the learning change rate exceeds the threshold range at a predetermined position.

[0086] Fig. 15 is a flowchart of a management method according to the fourth embodiment. The flowchart shown in Fig. 15 differs from the flowchart shown in Fig. 12 in that it includes step S42 after step S21 and step S43 after step S13 instead of step S32.

[0087] If it is determined in step S21 that there is no data that exceeds the threshold range, the management device 100 proceeds to step S42.

[0088] In step S42, the display control unit 140 causes the display device to display the acquired learning image. In this case, the management device 100 does not output an alert. Therefore, the management device 100 displays the learning image to be used in normal lessons, etc. After displaying the learning image, the management device 100 ends the series of processes.

[0089] In step S13, the extraction unit 130 extracts the identification data of the student terminals that exceed the threshold.

[0090] In step S43, the display control unit 140 displays the acquired learning image on the display device. The alert output unit 170 outputs an alert regarding the student's identification data associated with the learning change rate that exceeds the threshold range. After outputting the alert, the management device 100 ends the series of processes.

[0091] FIG. 16 is a first diagram showing an image on a display unit according to the fourth embodiment. A learning image acquisition unit 150 in this embodiment acquires learning images from each of the student terminals. A display control unit 140 in this embodiment also displays a list of the acquired learning images for each of the student terminals 200 on a display unit included in the management device 100. The list is displayed, for example, in the order of the student identification data. The list includes identification data P003. A learning image 149 for identification data P003 is surrounded by a thick dotted frame.

[0092] In the above configuration, the identification data P003 is the identification data of a student that exceeds a threshold. The alert output unit 170 outputs a signal indicating that the identification data P003 exceeds the threshold to the display control unit 140 as an alert regarding the identification data linked to the learning change rate that exceeds the threshold range. When generating a list display, the display control unit 140 superimposes a rectangular frame, which is an image to highlight the learning image 149 of the identification data P003 that is the target of the alert.

[0093] In this way, the management device 100 displays an alert in response to the alert so that teachers and other personnel can recognize students who require attention. In this case, the management device 100 may display a list of learning images corresponding to the seating positions of students in the classroom. That is, when the list display corresponds to a position, the management device 100 superimposes an alert on the learning image corresponding to the extracted identification data. This allows the management device 100 to present to teachers and other personnel in a manner that allows them to intuitively understand which positions of students they should pay attention to.

[0094] Fig. 17 is a second diagram showing an image on a display unit according to the fourth embodiment. The management image 141 shown in Fig. 17 differs from that shown in Fig. 16 in the position of the learning image 149 associated with the identification data P003. That is, the display control unit 140 displays a list of the acquired learning images for each student terminal 200 on the display unit of the management device 100. In the list display, the display control unit 140 in the upper left corner is surrounded by a thick dotted frame.

[0095] In the above configuration, the identification data P003 is the identification data of the student whose learning change rate exceeds the threshold. The alert output unit 170 outputs a signal indicating that the identification data P003 exceeds the threshold to the display control unit 140 as an alert regarding the identification data linked to the learning change rate that exceeds the threshold range. When generating a list display, the display control unit 140 superimposes a rectangular frame as an image to highlight the learning image 149 of the identification data P003 that is the target of the alert. Furthermore, the display control unit 140 displays the learning image at the time when the learning change rate exceeded the threshold range at a preset position. In the example shown in FIG. 17, the preset position is the upper left.

[0096] In this way, the administration device 100 displays an alert in response to the alert so that a teacher or the like can easily recognize a student who deserves attention. In this case, the administration device 100 can prompt a teacher or the like to pay attention to a student displayed at a predetermined position. Therefore, when a teacher or the like uses the administration device 100 to teach a class, the teacher or the like can easily visually recognize the presence of a student who is different from the other students.

[0097] The fourth embodiment has been described above. According to the fourth embodiment, the management device 100 outputs the identification data of the extracted students together with an alert. This allows the management device 100 to present the status of noteworthy students for optimal analysis. In other words, according to this embodiment, it is possible to provide a management program, a management method, and a management device for optimally extracting noteworthy students from multiple students who are studying using terminals.

[0098] 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. Furthermore, each embodiment can be combined with other embodiments as appropriate.

[0099] Each drawing is merely an example for describing one or more embodiments. Each drawing may relate not only to one particular embodiment, but also to one or more other embodiments. As will be understood by those skilled in the art, various features or steps described with reference to any one drawing can be combined with features or steps shown in one or more other drawings to create, for example, an embodiment not explicitly shown or described. Not all features or steps shown in any one drawing are necessary to describe an exemplary embodiment, and some features or steps may be omitted. The order of steps described in any drawing may be changed as appropriate.

[0100] In the present disclosure, a program includes a set of instructions (or software code) that, when loaded into a computer, causes the computer to perform one or more functions described in the embodiments. The program may be stored in a non-transitory computer-readable medium or a tangible storage medium. By way of example and not limitation, computer-readable media or tangible storage media include random-access memory (RAM), read-only memory (ROM), flash memory, solid-state drive (SSD) or other memory technologies, CD-ROM, digital versatile disc (DVD), Blu-ray (registered trademark) 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 a transitory computer-readable medium or communication medium. By way of example and not limitation, transitory computer-readable media or communication media include electrical, optical, acoustic, or other forms of propagated signals. [Explanation of symbols]

[0101] 1 Management System 100 Management device 110 Student Data Acquisition Department 120 Change rate acquisition unit 130 Extraction part 140 Display control unit 141 Management Images 142 Graph 1 143 Selective display 144 Graph 2 145 Seek Bar 146 Operation Buttons 147 Information display section 148 playback images 149 training images 150 Learning image acquisition unit 160 Playback data generation unit 170 Alert Output Unit 200 student terminals 210 Learning Program Executive Department 220 Display control unit 221 Display section 222 training images 230 Operation reception section 240 Change data generation unit 1000 computers 1010 Bus 1020 processor 1030 memory 1040 Storage Device 1050 Input / Output Interface 1060 Network Interface N1 Network

Claims

1. A management program that causes a computer to execute a management method for managing the learning situations of multiple students who individually use student terminals having at least a display unit in a class, a student data acquisition step of sequentially acquiring, from each of the plurality of student terminals, student identification data and change data relating to changes in learning images, which are images relating to the student's learning and displayed on the display unit at a plurality of different times; a change rate acquisition step of acquiring a learning change rate indicating a time change in learning of each student, which is generated based on the change data; an extraction step of calculating a statistical value from the learning change rate of each of the student terminals used by the plurality of students attending the class, and extracting, in a displayable manner, student identification data associated with the learning change rate that exceeds a predetermined threshold range based on the statistical value. Management program.

2. 2. The management program according to claim 1, The management method includes: a display control step of displaying the learning change rate associated with the extracted identification data on a predetermined display device in a manner that allows comparison with the statistical values ​​of the learning change rates of the plurality of students who attended the class; Management program.

3. 2. The management program according to claim 1, The management method includes: a learning image acquisition step of acquiring the learning image from each of the student terminals; and a playback data generation step of generating playback data of one student including the learning image at the time when the learning change rate exceeded the threshold range based on the extracted change data of the student terminal. Management program.

4. 2. The management program according to claim 1, The student data acquisition step acquires data relating to amounts of change in pixel values ​​of the learning image at a plurality of different times as the change data. Management program.

5. 2. The management program according to claim 1, The student data acquisition step acquires, as the change data, a ratio of pixels whose pixel values ​​have changed at a plurality of different times in the learning image. Management program.

6. 2. The management program according to claim 1, The management method includes: An alert output unit outputs an alert regarding the student's identification data associated with the learning change rate exceeding the threshold range. Management program.

7. 7. The management program according to claim 6, The alert output unit has a plurality of alert levels according to the magnitude of deviation from the threshold range or the length of time the deviation occurs. Management program.

8. 2. The management program according to claim 1, The management method includes: a learning image acquisition step of acquiring the learning image from each of the student terminals; a display control step of displaying a list of the acquired learning images on a display device of a predetermined management device, The display control step displays the learning image at a time when the learning change rate exceeds the threshold range at a predetermined position. Management program.

9. The management program according to any one of claims 1 to 8, The change rate acquisition step acquires a transition of the learning change rate of each of the students from a moving average of the change data. Management program.

10. A management method in which a computer manages the learning status of multiple students who individually use student terminals each having at least a display unit in a class, comprising: Sequentially acquire student identification data and change data relating to changes in learning images, which are images related to the student's learning and displayed on the display unit at multiple different times, from each of the multiple student terminals; A learning change rate indicating a change over time in the learning of each student is obtained based on the change data; Calculating statistical values ​​from the learning change rates of each of the plurality of student terminals attending the class, and extracting, in a displayable manner, student identification data associated with the learning change rates that exceed a predetermined threshold range based on the statistical values. Management method.

11. A management device for managing the learning status of multiple students who individually use student terminals each having at least a display unit in a class, a student data acquisition unit that sequentially acquires, from each of the plurality of student terminals, student identification data and change data relating to changes in learning images that are images related to the student's learning and that are displayed on the display unit at a plurality of different times; a change rate acquisition unit that acquires a learning change rate that indicates a time change in learning of each student, which is generated based on the change data; an extraction unit that calculates a statistical value from the learning change rate of each of the plurality of student terminals attending the class, and extracts, in a displayable manner, identification data of students associated with the learning change rate that exceeds a predetermined threshold range based on the statistical value. Management device.

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