Information processing device and program

The information processing device addresses the challenge of managing multiple data sets by creating graphs that visualize overall and individual student information, reducing the burden on learning supporters and enabling efficient data comparison and targeted guidance.

JP7803158B2Active Publication Date: 2026-01-21DAI NIPPON PRINTING CO LTD
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Patent Information

Application Number
JP2022020974
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2022-02-15
Publication Date
2026-01-21
Estimated Expiration
2042-02-15

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Abstract

To make it possible to create a graph, which visualizes information on the whole and information on each individual pupil, on the basis of plural data items concerning achievements.SOLUTION: An information processor includes a memory unit that stores identification information on each of plural pupils in association with indices concerning plural learnings of each of the pupils. The information processor receives option entries of indices concerning learnings concerned in order to be marked on an axis of abscissas and an axis of ordinates of a graph. The information processor creates and outputs as a graph a scatter chart in which the indices concerning the learnings, which are selected according to the option entries, are marked on the axis of abscissas and axis of ordinates and an icon for a pupil is plotted at an associated position.SELECTED DRAWING: Figure 10
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Description

[Technical Field]

[0001] The present invention relates to a technique for verifying and comparing data. [Background technology]

[0002] Conventionally, systems have been known that store test results administered to students in a database and enable them to be checked on a computer. Patent Documents 1 and 2 disclose systems that calculate the fluctuations in grades based on the target test and tests administered before the target test, and highlight the grades of specific students. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2021-63900 [Patent Document 2] Patent Publication No. 2021-63901 Summary of the Invention [Problem to be solved by the invention]

[0004] Teachers and other learning support staff need to centrally manage multiple data sets, including test results, and understand overall information for the entire class or grade, while also checking individual information for each student, in order to provide appropriate guidance. However, checking and comparing multiple data sets one by one, and understanding information for the entire class or grade and individual information for each student, places a significant burden on teachers.

[0005] The present invention has been made to solve the above-mentioned problems, for example, and its main objective is to provide an information processing device that creates graphs that visualize overall information and individual information for each student based on multiple data related to grades. [Means for solving the problem]

[0006] In one aspect of the present invention, an information processing device includes a storage unit that stores identification information of a plurality of students and a plurality of learning-related indicators of the students in association with each other; an input information acquisition unit that receives, as input information, a selection input of target learning-related indicators as horizontal and vertical axes of a graph; and a graph creation unit that creates a scatter diagram as a graph in which the learning-related indicators selected in accordance with the selection input are used as the horizontal and vertical axes, respectively, and student icons are plotted at corresponding positions; a group classification unit that classifies the student icons into a plurality of groups; and a group identification unit that identifies the group to which the target student belongs. a graph output unit that outputs the graph. The graph creation unit adds an arrow to the icon of the target student to distinguish the icon of the target student from the icons of other students, and generates a graph showing the correspondence between the icon of the target student and the group to which the target student belongs using the arrow. According to this aspect, the information processing device can create a scatter diagram graph with the horizontal and vertical axes representing the indices related to learning that have been arbitrarily selected and input. Such a graph can reduce the burden on the learning supporter who needs to understand information related to learning. The information processing device can also classify student icons plotted on a graph with arbitrarily selected vertical and horizontal axes into multiple groups. In other words, students can be classified into multiple groups based on learning indicators. The information processing device can also create a graph focusing on a target student and the group to which the target student belongs. This allows a learning supporter to easily check the grades of a student of concern using the graph. In one aspect of the information processing device, the graph creation unit can also output a screen that displays the trend or status of the group to which the target student belongs along with the graph.

[0007] In one aspect of the information processing device, the learning-related indicators are test scores and rubric evaluation scores for the test. According to this aspect, the information processing device can create a graph with the test scores and rubric evaluation scores on the vertical and horizontal axes of the graph.

[0008] In one aspect of the information processing device, the learning-related index is a response number of a numerical scale evaluation questionnaire. According to this aspect, the information processing device can create a graph using the response numbers of the numerical scale evaluation questionnaire as the vertical axis and the horizontal axis of the graph.

[0010] In one aspect of the information processing device, the group classification unit classifies the icons of the students based on the average values ​​of the students on each axis. According to this aspect, the information processing device can classify the icons of the students into a plurality of groups based on the average values ​​of the students.

[0011] In one aspect of the information processing device, the graph output unit displays a list of groups of students for each subject corresponding to the selected icon. According to this aspect, the learning supporter can easily recognize the group of students for each subject from the list display.

[0012] In one aspect of the information processing device, the storage unit stores students and attribute information of the students in association with each other. According to this aspect, the information processing device can easily use the attribute information of the students by referring to the storage unit.

[0013] In one aspect of the information processing device, the graph output unit displays attribute information about the group. According to this aspect, the information processing device can display a graph and attribute information about the group.

[0015] In one aspect of the information processing device, the graph output unit sets a threshold value related to learning and highlights an icon according to the threshold value. According to this aspect, a learning supporter can easily check from the graph which student corresponds to the learning indicator according to the threshold value.

[0016] In one aspect of the information processing device, the graph creation unit displays the fluctuations in the target student's indicators based on indicators related to past learning from the displayed results. According to this aspect, the information processing device can display the fluctuations in the indicators over time on a graph. Therefore, the learning supporter can easily understand the fluctuations in the student's grades from the graph.

[0017] In one aspect of the information processing device, the fluctuation of the index is displayed by selecting the icon of the target student. According to this aspect, the learning supporter can easily check the fluctuation of the index of the target student from the graph by selecting the icon of the target student.

[0018] In another aspect of the present invention, there is provided a program executed by an information processing device having a computer, the program including: a storage unit that stores identification information of a plurality of students and a plurality of learning-related indicators of the students in association with each other; an input information acquisition unit that receives, as input information, a selection input of target learning-related indicators as horizontal and vertical axes of a graph; and a graph creation unit that creates a scatter diagram as a graph in which the learning-related indicators selected in accordance with the selection input are set as horizontal and vertical axes, respectively, and student icons are plotted at corresponding positions; a group classification unit that classifies the icons of the students into a plurality of groups; and a group identification unit that identifies the group to which the target student belongs. a graph output unit that outputs the graph, The graph creation unit adds an arrow to the icon of the target student to distinguish the icon of the target student from the icons of other students, and generates a graph showing the correspondence between the icon of the target student and the group to which the target student belongs using the arrow. By installing and executing this program on a computer, an information processing device according to the present invention can be configured. [Effects of the Invention]

[0019] According to the information processing device of the present invention, it is possible to create a graph that visualizes overall information and individual information for each student based on multiple data related to grades. [Brief explanation of the drawings]

[0020] [Figure 1] 1 shows a configuration of an information display system according to an embodiment. [Figure 2] FIG. 2 is a block diagram showing the internal configuration of a management server. [Figure 3] 10 is an example of a data configuration of a test DB. [Figure 4] 10 is an example of a data configuration of an evaluation DB. [Figure 5] 10 is an example of a data configuration of a questionnaire DB. [Figure 6] 10 is an example of the data structure of a grade DB. [Figure 7] 10 is an example of a graph in which the horizontal axis represents evaluation points. [Figure 8] 10 is an example of a screen including a graph with evaluation points on the horizontal axis. [Figure 9] This is an example of a screen containing a graph with the survey results on the horizontal axis. [Figure 10]4 is a flowchart of a graph creation process in the first embodiment. [Figure 11] This is an example of a graph focusing on the target students. [Figure 12] This is an example screen containing a graph with evaluation scores on the horizontal axis and focusing on the target student. [Figure 13] This is an example screen containing a graph with the survey results on the horizontal axis and the focus on the target students. [Figure 14] 10 is a flowchart of a graph creation process in the second embodiment. [Figure 15] 10 is an example of a screen containing a graph showing the progress of a target student's grades. [Figure 16] 13 is a screen example in the fourth modified example. [Figure 17] 13 shows the configuration of an information display system according to a fifth modified example. DETAILED DESCRIPTION OF THE INVENTION

[0021] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. <Embodiment> (First embodiment) [Overall configuration] 1 shows the configuration of an information display system to which an information processing device of the present invention is applied. The information display system 100 is configured so that a plurality of terminal devices 10 and a management server 20 can communicate with each other via a network 5. In this embodiment, as an example, the learners are students and the learning supporters are teachers.

[0022] The terminal device 10 is used by a teacher and is, for example, a desktop PC, laptop PC, tablet PC, etc. The terminal device 10 is equipped with a display unit such as a liquid crystal display, and is used to output information on grades based on test results, etc.

[0023] The management server 20 is connected to a student database (hereinafter, "database" will be referred to as "DB") 31, a test DB 32, an evaluation DB 33, a questionnaire DB 34, and a grade DB 35, and creates a graph screen including graphs that visualize overall information such as all students in a grade or all students in a class, and individual information about each student, according to information input from a terminal device 10 used by a teacher. The management server 20 then transmits the information for the graph screen to the terminal device 10. This enables the terminal device 10 to display the graph screen on its display unit.

[0024] The communication between the management server 20 and the terminal device 10 via the network 5 may be wired or wireless.

[0025] [Administration Server Configuration] 2 is a block diagram showing the internal configuration of management server 20. Management server 20 includes a communication unit 21, an input information acquisition unit 22, a grade information acquisition unit 23, an index determination unit 24, a graph creation unit 25, a group classification unit 26, a group identification unit 27, and a graph screen output unit 28. These components, a student DB 31, a test DB 32, an evaluation DB 33, a questionnaire DB 34, and a grade DB 35 are interconnected via a bus 29.

[0026] The communication unit 21 is a communication unit for communicating with the terminal device 10 through the network 5. Specifically, the communication unit 21 receives input information from the terminal device 10 used by the teacher and transmits information on the created graph screen to the terminal device 10.

[0027] The student DB 31 stores student information about students. Specifically, the student DB 31 stores student information such as a student ID, which is student identification information, the student's name, grade, class, and the like.

[0028] The test DB32 stores test information related to test-style exams in which students enter answers. FIG. 3 shows an example of the data structure of the test DB32. As shown in the figure, the test DB32 stores information such as the test type, items, subjects, and test ID. The test type is the type of exam, such as "2020 First Semester Midterm" or "2020 First Semester Final." The items indicate the format of the exam and indicators of its results, such as "test scores" for test-style exams, "thinking, judgment, and expression evaluation scores" for assessment-style exams described below, and "survey responses" for questionnaire-style exams. The subjects are the subjects of the test, such as "Mathematics," "Japanese," and "English." The exam ID is identification information for the exam.

[0029] The test DB 32 only needs to be able to check test information related to test-style exams, and the data structure can be set as desired. For example, in this embodiment, the test type is a regular exam including the year and semester, but the present invention is not limited to this and can be set as desired. Similarly, the items and subjects can also be set as desired.

[0030] The evaluation DB 33 stores evaluation information related to evaluation-style tests that evaluate student performance. In this embodiment, rubric evaluation is also considered to be one type of test and is an evaluation-style test. FIG. 4 shows an example of the data structure of the evaluation DB 33. As shown in the figure, the evaluation DB 33 stores information such as test type, items, subjects, test ID, evaluation scores, and evaluation criteria. The test type, items, subjects, and test ID are the same as those in the test DB 32 described above.

[0031] The evaluation score is a score that evaluates the student's performance, and in this embodiment, it is in increments of 10 points from "0" to "100", with a lower score indicating a lower evaluation and a higher score indicating a higher evaluation. The evaluation criteria are standards for assigning evaluation scores to the student's performance, and are linked to each evaluation score.

[0032] The evaluation DB 33 only needs to be able to confirm evaluation information related to evaluation-style tests, and the data structure thereof can be set arbitrarily.

[0033] The questionnaire DB 34 stores questionnaire information related to a questionnaire-style test in which students enter answer numbers. In this embodiment, a questionnaire is also a type of test, and is assumed to be a questionnaire-style test. FIG. 5 shows an example of the data structure of the questionnaire DB 34. As shown in the figure, the questionnaire DB 34 stores information such as test type, item, subject, test ID, survey content, answer number, and answer content. The test type, item, subject, and test ID are the same as those in the test DB 32 described above.

[0034] The survey questions are questions posed to students, such as, "How much of the material on this test did you understand?" Questions about comprehension are included. Answer numbers and answer contents are linked, such as the survey answer number and its content. For example, answer number "1" corresponds to "I didn't understand it at all," and answer number "5" corresponds to "I completely understood it." In this embodiment, a survey asking about comprehension of each subject is conducted at the time of regular exams, such as the "2020 First Semester Midterm" and "2020 First Semester Final," as indicated by the exam type. In this case, a smaller answer number indicates a lower level of comprehension, and a larger answer number indicates a higher level of comprehension. In this embodiment, the survey-style test can be considered a graded assessment survey using numbers.

[0035] The questionnaire DB 34 only needs to be able to confirm questionnaire information relating to a questionnaire-style test, and the data structure thereof can be set arbitrarily.

[0036] The grade DB 35 stores grade information related to the test results of each student, corresponding to the student's student ID. Figure 6 shows an example of the data structure of the grade DB 35. As shown in the figure, the grade DB 35 contains information such as the student ID, test type, item, test ID, test result, test date, status, and trend. Specifically, the test result is the score if the test is in test format, the grade if the test is in assessment format, and the answer number if the test is in questionnaire format. The test date is the date the test was conducted. The grade DB 35 is updated when the grading, evaluation, and response collection of the test conducted by the student are completed and confirmed. The status and trend are attribute information indicating the student's status and trend, such as self-efficacy, feelings about tests, trust in the teacher, and whether the student has friends. These can be set arbitrarily. Specifically, teachers enter the status and trend of each student into the student DB 31 based on the test results (test scores and survey responses).

[0037] The results DB 35 only needs to continuously accumulate the results of each test, such as tests, rubric evaluations, and questionnaires, for each student, and the data structure can be set arbitrarily.

[0038] The input information acquisition unit 22 acquires information about the exam that is the subject of the graph. Specifically, the teacher logs in to a predetermined site using the terminal device 10, specifies the exam type and subject of the exam that is the subject of the graph, the exam items to be used on the horizontal axis of the graph, and the exam items to be used on the vertical axis of the graph, and transmits the information to the management server 20 as input information.

[0039] In this embodiment, the information regarding the exam that is the subject of the graph is the exam type, subject, and item, but the present invention is not limited to this, and any information that can identify the exam that is the subject of the graph, such as an exam ID, may be used.

[0040] In this embodiment, the students to be graphed are students who belong to a specific class. The affiliation of the students to be graphed is not limited to class units, but can be set arbitrarily, such as by grade. The affiliation of the students to be graphed may be specified by a teacher and transmitted to the management server 20 as input information.

[0041] Based on the input information, the grade information acquisition unit 23 acquires grade information of students belonging to a predetermined class from the grade DB 35. Specifically, the grade information acquisition unit 23 first refers to the student DB 31 and identifies the student IDs of the students belonging to the predetermined class. The grade information acquisition unit 23 also refers to the test DB 32, the evaluation DB 33, and the questionnaire DB 34 and identifies the test IDs of the tests that will be the horizontal axis and the vertical axis of the graph. Then, the grade information acquisition unit 23 acquires grade information from the grade DB 35 based on the identified student IDs and test IDs.

[0042] At this time, the grade information acquisition unit 23 may refer to the implementation date and acquire a predetermined number of grade information in chronological order. For example, if the predetermined number is two and the teacher specifies the test type "2020 first semester end," the item "test score," and the subject "mathematics," the grade information acquisition unit 23 acquires grade information for the test type "2020 first semester midterm," the item "test score," and the subject "mathematics" in addition to the test type "2020 first semester end." It should be noted that the number of grade information acquisitions in chronological order that the grade information acquisition unit 23 acquires is set arbitrarily in advance.

[0043] The index determination unit 24 determines whether a student's grade index is equal to or lower than a threshold based on the test results included in the grade information. The threshold is assumed to be set arbitrarily in advance. In this embodiment, the grade index is a score in a test-style test, an evaluation score in an assessment-style test, or an answer number in a questionnaire-style test. The index determination unit 24 temporarily stores the student ID of a student whose grade index is equal to or lower than the threshold. Note that in this embodiment, the index is set to a score, an evaluation score, or an answer number, which are grade indexes, but the present invention is not limited to this and can be set arbitrarily as long as it is related to learning.

[0044] In this embodiment, the questionnaire is a question asking about the level of understanding, and the smaller the answer number, the lower the student's level of understanding, and the larger the answer number, the higher the student's level of understanding. Therefore, even in a questionnaire-style test, the index determination unit 24 temporarily stores the student IDs of students whose answer numbers are below the threshold.

[0045] The graph creation unit 25 creates a scatter diagram in which icons representing each student (hereinafter, "icons representing students" are also referred to as "student icons") are plotted at the intersections of the horizontal axis (test results) and the vertical axis (test results). Here, an icon is a simple symbol or graphic representation, such as a black circle or a white circle. Figure 7 is an example of a scatter diagram graph with the horizontal axis representing the evaluation scores for the thinking, judgment, and expression assessments and the vertical axis representing test scores. Specifically, as shown in Figure 7(a), graph 50 has the horizontal axis representing the evaluation scores for the test type "2020 Second Semester End," the item "Thinking, Judgment, and Expression Evaluation Score," and the subject "Mathematics." Also, graph 50 has the vertical axis representing the test type "2020 Second Semester End," the item "Test Score," and the subject "Mathematics." In the graph 50, black circle icons representing each student are plotted at the points where the test evaluation score on the horizontal axis intersects with the test score on the vertical axis.

[0046] The group classification unit 26 classifies the student icons on the graph into multiple groups. Specifically, as shown in FIG. 7(b), the group classification unit 26 divides the graph 50 into four quadrants using the grade point class average and the score class average, indicated by the dotted lines. The grade point class average is the class average of the test grade points on the horizontal axis, and the score class average is the class average of the test scores on the vertical axis. Here, in the graph 50, the quadrant where the vertical and horizontal axes are below average is the first quadrant, the quadrant where the vertical axis is above average and the horizontal axis is below average is the second quadrant, the quadrant where the vertical axis is above average and the horizontal axis is below average is the third quadrant, and the quadrant where the vertical axis is below average and the horizontal axis is above average is the fourth quadrant. The group classification unit 26 classifies the student icons into four groups, with the icons plotted in the first quadrant as the first group, the icons plotted in the second quadrant as the second group, the icons plotted in the third quadrant as the third group, and the icons plotted in the fourth quadrant as the fourth group. In other words, students are classified into a plurality of groups based on performance indicators such as evaluation points and scores. Hereinafter, the "group to which a student's icon belongs" will also be referred to as the "group to which the student belongs."

[0047] In this embodiment, graph 50 is divided into four quadrants by dividing the horizontal axis by the class average value of evaluation points and the vertical axis by the class average value of scores, but the present invention is not limited to this, and graph 50 can be divided into four quadrants using any value, such as the grade average value or a standard deviation value of 45, depending on the test that is the subject of the vertical and horizontal axes.

[0048] The group identification unit 27 identifies the state and tendency of each group. Specifically, it identifies the tendency and state of the students belonging to each group. For example, the students in the first group have below-average test scores on the vertical axis and test evaluation scores on the horizontal axis, and therefore tend to have low self-efficacy and a strong view of compulsive testing. The state and tendency of a group are derived based on the tendency and state of the students belonging to the target group. Specifically, the group identification unit 27 extracts the states and tendencies of all students belonging to a specific group from the student DB 31. Then, the group identification unit 27 identifies the state and tendency of the group based on the extracted states and tendencies of the multiple students. For example, if a specific group contains three students, and Student A has a tendency of "low self-efficacy," Student B has a tendency of "high self-efficacy," and Student C has a tendency of "low self-efficacy," the group identification unit 27 identifies the tendency of the group as "low self-efficacy" by majority vote. The method for identifying the state and tendency of a group is not limited to majority voting, but can be set arbitrarily as long as it can be derived from the states and tendencies of multiple students belonging to the group. The state and tendency of a group are also called attribute information about the group.

[0049] The graph screen output unit 28 creates graph screen information including a graph created based on input information specified by the teacher, and transmits it to the terminal device 10 used by the teacher for display.

[0050] Here, the graph screen will be described. Fig. 8 is an example of a graph screen including a graph 50 in which the horizontal axis represents the grade of an evaluation-style test and the vertical axis represents the score of a test-style test. Graph screen A shown in Fig. 8 has a test type item 61, a horizontal axis item 62, a vertical axis item 63, a subject check box 64, and graph 50.

[0051] The exam type item 61 is an item for selecting and displaying the exam type of the exam that will be the subject of the graph. The horizontal axis item 62 is an item for selecting and displaying the exam item that will be the horizontal axis of the graph. The vertical axis item 63 is an item for selecting and displaying the exam item that will be the vertical axis of the graph. The subject checkbox 64 is an item for selecting the subject of the exam that will be the subject of the graph and displaying a check mark. Note that the graph screen A shown in Figure 8 is an example, and information about the exam that will be the subject of the graph may be entered directly rather than being limited to selection in each item.

[0052] Specifically, the teacher logs in to the graph screen using the terminal device 10 and specifies the target exam using the exam type item 61, horizontal axis item 62, vertical axis item 63, and subject check box 64. Once the teacher has completed specifying the information about the target exam, graph 50, which is a scatter plot in which icons of all students belonging to a specific class are plotted, is displayed on graph screen A. At this time, the student ID may be displayed with the icon, or the student ID may be displayed on graph 50 by moving the cursor close to the icon.

[0053] In graph 50, the horizontal axis represents the test grades indicated by the test type "2020 second semester end," the item "thinking, judgment, and expression evaluation score," and the subject "mathematics," and the vertical axis represents the test grades indicated by the test type "2020 second semester end," the item "test score," and the subject "mathematics." At this time, graph screen output unit 28 refers to the information temporarily stored by index determination unit 24 and highlights on graph 50, for example by flashing the icons of students whose indexes are below the threshold.

[0054] Furthermore, when a student's icon is clicked on the graph 50, the graph screen output unit 28 displays detailed information about the student. Specifically, as shown in Fig. 8, the graph 50 plots the icon of the student identified by student ID "A13" (hereinafter also referred to as "icon A13") at the position where the evaluation score "60 points" on the horizontal axis intersects with the score "90 points" on the vertical axis.

[0055] As a first example, when icon A13 is clicked, the graph screen output unit 28 animates the icon A13 to move (change) as indicated by the arrow in graph 50 in FIG. 8 based on the change in grades compared to the previous grades. The white circle icon in graph 50 in FIG. 8 plots the results of the previous test for the student identified by student ID "A13" based on the grade information. Furthermore, if a grade indicator, such as a score or evaluation score, is increasing, the graph screen output unit 28 may highlight the increase by using, for example, a sparkling effect in addition to the movement indicated by the arrow. Furthermore, the change in grades compared to the previous grades may be displayed using only an arrow instead of animation. In this case, the design and display method are not limited to arrows, and any design and display method can be used as long as the change can be displayed. This allows the time-series changes in a student's grades to be visualized.

[0056] As a second example, when icon A13 is clicked, graph screen output unit 28 opens individual screen 66 in a separate window and displays detailed information about the student identified by student ID "A13." Information displayed on individual screen 66 may include, for example, the results of a test for another subject with the same test type as graph 50 ("2020 Second Semester Final"), the items "Thinking, Judgment, and Expression Evaluation Score" and "Test Score," and the group to which the student belongs in the graph corresponding to each subject. In this way, individual screen 66 can display a list of groups to which students belong for each subject. Individual screen 66 may also display, as detailed information, the trends and status of the group to which the student belongs in graph 50.

[0057] Furthermore, the graphs created by the graph creation unit 25 can have the vertical axis or horizontal axis representing questionnaire responses. FIG. 9 is an example of a graph screen including a graph in which the horizontal axis represents the answer number of a questionnaire-style test and the vertical axis represents the score of a test-style test. Graph screen B shown in FIG. 9 has a test type item 61, a horizontal axis item 62, a vertical axis item 63, a subject check box 64, a graph 68, and a questionnaire item 69. The questionnaire item 69 is an item that refers to the questionnaire DB 34 and displays the questionnaire content, the answer number, and the answer content when the vertical or horizontal axis of the graph represents the answers to a questionnaire-style test.

[0058] On graph screen B shown in FIG. 9, the exam type "2020 Second Semester Final" and the subject "Mathematics" are specified, with the item "Survey Responses" specified as the horizontal axis and the item "Test Score" specified as the vertical axis. A teacher can easily specify the survey responses as the vertical or horizontal axis of the graph by logging in to the graph screen using the terminal device 10 and making a predetermined selection. Once the teacher has completed specifying the information about the target exam, graph screen B displays graph 68, which is a scatter plot plotting the icons of all students belonging to a specified class. At this time, the student ID may be displayed with the icon, or the student ID may be displayed on graph 68 by moving the cursor close to the icon.

[0059] In graph 68, the horizontal axis represents the test answer number indicated by the test type "2020 second semester end," the item "questionnaire response," and the subject "mathematics," and the vertical axis represents the test score indicated by the test type "2020 second semester end," the item "test score," and the subject "mathematics." At this time, graph screen output unit 28 refers to the information temporarily stored by index determination unit 24, and highlights on graph 68, for example by flashing the icons of students whose index is below the threshold.

[0060] Furthermore, when a student's icon is clicked on in the graph 68, the graph screen output unit 28 displays detailed information about that student. The display of detailed information about the student whose icon is clicked is the same as that of the graph screen A described above, and therefore a description thereof will be omitted for the sake of simplicity.

[0061] In the above configuration, the input information acquisition unit 22, index determination unit 24, group classification unit 26, group identification unit 27, and graph screen output unit 28 of the management server 20 are examples of the input information acquisition unit, index determination unit, group classification unit, group identification unit, and graph output unit of the present invention, respectively. Also, the performance information acquisition unit 23 and graph creation unit 25 of the management server 20 are examples of the graph creation unit of the present invention. Also, the performance DB 35 of the management server 20 is an example of the storage unit of the present invention.

[0062] [Graph creation process] 10 is a flowchart of the graph creation process according to this embodiment. This process creates a graph based on input information and grade information, with the vertical and horizontal axes representing the results of any test specified by the teacher. Specifically, this process is realized by the computer constituting the management server 20 executing a program prepared in advance.

[0063] The teacher logs in to a predetermined site using the terminal device 10, specifies information about the target exam as the horizontal and vertical axes of the graph, and transmits this information as input information to the management server 20. Specifically, the terminal device 10 transmits the exam type and subject, the exam items that will be the horizontal axis, and the exam items that will be the vertical axis as input information to the management server 20. The management server 20 acquires the input information from the terminal device 10 (step S11). Based on the acquired input information, the management server 20 acquires grade information from the grade DB 35 (step S12). Based on the acquired grade information, the management server 20 determines whether the grade index of each student is below a threshold, and temporarily stores the student IDs of students that are below the threshold (step S13).

[0064] Furthermore, the management server 20 creates a graph with the test results specified by the teacher on the vertical and horizontal axes based on the input information and grade information (step S14). Furthermore, the management server 20 classifies the icons representing the students plotted on the graph into multiple groups (step S15). The management server 20 then creates graph screen information including the created graph and transmits it to the terminal device 10 (step S16). This allows the teacher to display the graph screen on the terminal device 10 and check the graph.

[0065] When a teacher wants to check detailed information about a specific student, he or she clicks on the icon of that student plotted on the graph on the graph screen. When the icon is clicked, the management server 20 receives an individual screen request including the student ID indicating the student with that icon. The management server 20 determines whether or not the individual screen request has been received (step S17). If the individual screen request has been received (step S17; Yes), the management server 20 creates an individual screen displaying detailed information about the student indicated by the student ID included in the individual screen request, transmits it to the terminal device 10 (step S18), and terminates the graph creation process. On the other hand, if the individual screen request has not been received (step S17; No), the management server 20 also terminates the graph creation process.

[0066] In this embodiment, the test-style exam and the evaluation-style exam are in different formats, but the evaluation-style exam may be included in the test-style exam, and the evaluation points may be included in the score.

[0067] As described above, the information display system 100 of the present invention visualizes test results, such as tests, rubric assessments, and questionnaires, in a scatter plot, allowing the status of both the entire learner and individual learners to be confirmed. Furthermore, the learning support staff can freely specify the test results as the horizontal and vertical axes of the scatter plot graph. This allows the learning support staff to centrally check and compare various learning-related data using a graph with the axes specified as desired. This reduces the burden on the learning support staff of grasping information for the entire class or grade and information for each individual learner. Furthermore, the learning support staff can propose optimal teaching methods for each individual learner based on the overall learner trends.

[0068] (Second embodiment) Next, a second embodiment will be described. In the second embodiment, the management server 20 creates and outputs a graph focusing on one target student (hereinafter also referred to as the "target student"). Note that the overall configuration and the configuration of the management server 20 are almost the same as those of the first embodiment, so for convenience, description will be omitted and only the different parts will be described. Note that, in the configuration of the management server 20, configurations that differ from the first embodiment will be suffixed with "x". Specifically, the input information acquisition unit 22x, graph creation unit 25x, group classification unit 26x, group identification unit 27x, and graph screen output unit 28x will be described as configurations that differ from the first embodiment.

[0069] The input information acquisition unit 22x of the second embodiment acquires, as input information, the student ID of the target student in addition to information related to the exam that is the subject of the graph.

[0070] The graph creation unit 25x of the second embodiment creates a scatter plot as a graph in which each student's icon is plotted at the point where the test results on the horizontal axis intersect with the test results on the vertical axis, making it possible to distinguish the icon of the target student from the icons of other students.

[0071] Here, we will explain the graphs created by the graph creation unit 25x. FIG. 11 is an example of a graph focusing on a target student. FIG. 11 is an example of a scatter plot graph with the horizontal axis representing the evaluation scores for the thinking, judgment, and expression assessments and the vertical axis representing the test scores. Specifically, as shown in FIG. 11, graph 77 has the horizontal axis representing the evaluation scores, which are the results of the test indicated by the test type "End of the first semester of 2020," the item "Evaluation scores for thinking, judgment, and expression," and the subject "Japanese." Also, graph 77 has the vertical axis representing the scores, which are the results of the test indicated by the test type "End of the first semester of 2020," the item "Test scores," and the subject "Japanese." Graph 77 plots a human-shaped icon representing each student at the intersection of the test evaluation score on the horizontal axis and the test score on the vertical axis. In this case, the graph creation unit 25x distinguishes the target student's icon 80 from the icons of other students by using size, color, pattern, arrowhead, etc.

[0072] The group classification unit 26x of the second embodiment classifies the student icons on the graph into a plurality of groups. Specifically, as shown in FIG. 11, the group classification unit 26x groups each student's icon into an arbitrary number of groups according to their distance on the graph 77 while removing outliers. Examples of the grouping method include grouping by a combination of RANSAC (Random Sample Consensus) and k-means. The group classification unit 26x classifies the icons plotted on the graph 77 into four groups, a first group 81a, a second group 81b, a third group 81c, and a fourth group 81d, by clustering.

[0073] The group identification unit 27x of the second embodiment identifies the group to which the target student belongs, and also identifies the state and tendency of the identified group.

[0074] The graph screen output unit 28x of the second embodiment creates graph screen information including a graph created based on input information specified by the teacher, and transmits the information to the terminal device 10 used by the teacher for display. The graph screen will now be described. FIG. 12 is an example of a graph screen including a graph 77 in which the horizontal axis represents the grade of an assessment-style test and the vertical axis represents the score of a test-style test. The graph screen C shown in FIG. 12 includes a student ID item 71, a test type item 72, a horizontal axis item 73, a vertical axis item 74, a subject check box 75, a grade information item 76, a graph 77, and a graph 78.

[0075] The student ID item 71 is an item for selecting and displaying the student ID of the target student. The exam type item 72 is an item for selecting and displaying the exam type of the exam that will be the subject of the graph. The horizontal axis item 73 is an item for selecting and displaying the exam item that will be the horizontal axis of the graph. The vertical axis item 74 is an item for selecting and displaying the exam item that will be the vertical axis of the graph. The subject check box 75 is an item for selecting the subject of the exam that will be the subject of the graph and displaying a check mark. The grade information item 76 is an item for displaying the grade information of the target student. The grade information displayed in the grade information item 76 is, for example, the test results for each subject in the same exam type as graph 77, "End of 1st semester 2020," and can be set as desired.

[0076] Specifically, the teacher logs in to the graph screen using the terminal device 10 and specifies the target students and the exams to be tested using the student ID item 71, exam type item 72, horizontal axis item 73, vertical axis item 74, and subject checkboxes 75. Once the teacher has finished specifying the information about the target students and the exams to be tested, a graph 77, which is a scatter plot with icons of all students belonging to a specified class plotted, is displayed on the graph screen C.

[0077] In graph 77, the horizontal axis represents the test grades indicated by the test type "End of first semester 2020," the item "Thinking, judgment, and expression grades," and the subject "Japanese," and the vertical axis represents the test scores indicated by the test type "End of first semester 2020," the item "Test score," and the subject "Japanese." At this time, graph screen output unit 28x may refer to information temporarily stored by index determination unit 24 and highlight, for example, by flashing the icons of students whose indexes are below a threshold in graph 77.

[0078] The graph screen output unit 28x also displays the icon 80 of the target student so that it can be distinguished from the icons of other students. The graph screen output unit 28x also displays the icon 80 so that the group to which the icon 80 belongs can be clearly identified, using an arrow or the like attached to the icon 80. The graph screen output unit 28x also displays the tendency and status of the group to which the icon 80 belongs, along with the graph 77.

[0079] 12, the subject check boxes 75a and 75b are selected and two check marks are displayed on the graph screen C. In this case, the graph screen C has a graph 77 corresponding to the subject "Japanese" and a graph 78 corresponding to the subject "Mathematics."

[0080] Furthermore, the graphs created by the graph creation unit 25x can have questionnaire responses on the vertical and horizontal axes. Fig. 13 is an example of a graph screen including a graph in which the horizontal axis represents the answer number of a questionnaire-style test and the vertical axis represents the score of a test-style test. The graph screen D shown in Fig. 13 has a student ID item 71, a test type item 72, a horizontal axis item 73, a vertical axis item 74, a subject check box 75, a grade information item 76, a graph 84, and a graph 85.

[0081] Although not shown in the figure, if the vertical or horizontal axis of the graph represents the answers to a questionnaire-style test, a questionnaire item may be provided on the graph screen D that refers to the questionnaire DB 34 and displays the questionnaire content, answer number, and the answer content.

[0082] In graph screen D shown in FIG. 13, student ID "A20," exam type "2020 First Semester End," and subjects "Japanese" and "Mathematics" are specified, with the item "Survey Responses" specified as the horizontal axis and the item "Test Score" specified as the vertical axis. By logging in to the graph screen using terminal device 10 and making the required selections, a teacher can easily specify the survey responses as the vertical and horizontal axes of the graph. Once the teacher has completed specifying the information about the target exam, graph 84, a scatter plot in which the icons of all students belonging to a specified class are plotted, is displayed on graph screen D.

[0083] The horizontal axis of graph 84 represents the test answer numbers indicated by the test type "End of 1st semester 2020," the item "Questionnaire response," and the subject "Japanese," and the vertical axis represents the test scores indicated by the test type "End of 1st semester 2020," the item "Test score," and the subject "Japanese." At this time, the graph screen output unit 28x refers to the information temporarily stored by the index determination unit 24, and highlights the icons of students whose indexes are below the threshold in the graph 84, for example by flashing them.

[0084] The graph screen output unit 28x also displays the icon 86 of the target student so that it can be distinguished from the icons of other students. The graph screen output unit 28x also displays the icon 86 so that it is clear which group the icon 86 belongs to, using an arrow or the like attached to the icon 86. The graph screen output unit 28x also displays, together with the graph 84, the tendency and status of the group to which the icon 86 belongs.

[0085] 13, the subject check boxes 75a and 75b are selected and two check marks are displayed on the graph screen D. In this case, the graph screen D has a graph 84 corresponding to the subject "Japanese" and a graph 85 corresponding to the subject "Mathematics."

[0086] In the above configuration, the input information acquisition unit 22x, the group classification unit 26x, the group identification unit 27x, and the graph screen output unit 28x of the management server 20 are examples of the input information acquisition unit, the group classification unit, the group identification unit, and the graph output unit of the present invention, respectively. Also, the performance information acquisition unit 23x and the graph creation unit 25x of the management server 20 are examples of the graph creation unit of the present invention.

[0087] [Graph creation process] 14 is a flowchart of the graph creation process according to this embodiment. This process creates a graph focusing on a target student based on input information and grade information, with the vertical and horizontal axes representing the results of any test specified by the teacher. Specifically, this process is realized by the computer constituting the management server 20 executing a program prepared in advance.

[0088] The teacher logs in to a predetermined site using the terminal device 10, specifies the student ID of the target student and information about the target exam, and transmits the information as input information to the management server 20. Specifically, the terminal device 10 transmits the student ID, exam type and subject, exam items on the horizontal axis, and exam items on the vertical axis as input information to the management server 20. The management server 20 acquires the input information from the terminal device 10 (step S21). Based on the acquired input information, the management server 20 acquires grade information from the grade DB 35 (step S22). Based on the acquired grade information, the management server 20 determines whether the grade index of each student is below a threshold, and temporarily stores the student IDs of students below the threshold (step S23).

[0089] Furthermore, based on the input information and the grade information, the management server 20 creates a graph with the test results designated by the teacher on the vertical and horizontal axes (step S24). At this time, the management server 20 creates the graph so that the icon of the target student can be distinguished from the icons of other students.

[0090] The management server 20 then classifies the icons representing the students plotted on the graph into multiple groups (step S25). Furthermore, the management server 20 identifies the group to which the target student belongs (step S26). After identifying the group, the management server 20 creates a graph so that the group to which the target student belongs is clear. The management server 20 then creates graph screen information including the created graph and transmits it to the terminal device 10 (step S27). This completes the graph creation process. The teacher can check the graph by displaying the graph screen on the terminal device 10.

[0091] In this embodiment, the test-type exam and the evaluation-type exam are in different formats, but the evaluation-type exam may be included in the test-type exam, and the score may include the evaluation points.

[0092] This allows the learning supporter to easily check a graph by freely specifying the learner they want to focus on and the test results on the horizontal and vertical axes. This reduces the burden on the learning supporter, who needs to understand information about the entire class and the individual information about the learner they want to focus on. In addition, the learning supporter can propose the most appropriate teaching method for each individual learner, taking into account the overall tendencies of the learners.

[0093] <Modification> (First Modification) The graph creation unit 25x of the second embodiment described above can create a graph showing the time-series changes in the grades of a target student by specifying a period on the horizontal axis. Fig. 15 is an example of a graph screen including a graph with the period on the horizontal axis and the test-style exam scores on the vertical axis. The graph screen E shown in Fig. 15 has a student ID item 71, an exam type item 72, a horizontal axis item 73, a vertical axis item 74, a subject check box 75, a grade information item 76, a graph 91, and a graph 92.

[0094] When creating a graph showing the time-series changes in the grades of the target students, the year is selected and displayed in the exam type item 72 and the period is selected and displayed in the horizontal axis item 73.

[0095] In the graph screen E shown in FIG. 15, the student ID "A20," the exam type "2020," the subjects "Japanese" and "Mathematics" are specified, the horizontal axis is the item "1st semester midterm to 2nd semester final," and the vertical axis is the item "Test score." By logging in to the graph screen using the terminal device 10 and making a predetermined selection, a teacher can easily specify the creation of a graph showing the chronological progression of the student's grades. Information about the specified target exam is sent to the management server 20 as input information.

[0096] In this case, the grade information acquiring unit 23x acquires a predetermined number of grade information items corresponding to the item "midterm of first semester to end of second semester."

[0097] Furthermore, graph creation unit 25x calculates the class average score for each test included in the item "first semester midterm to second semester end." Specifically, graph creation unit 25x calculates the class average score for the first semester midterm, the class average score for the first semester end, the class average score for the second semester midterm, and the class average score for the second semester end, based on the grade information. Then, graph creation unit 25x creates graph 91 based on the grade information, including a line graph showing the progress of the target student's grades over a specified period and a line graph showing the progress of the class average score.

[0098] When the teacher has completed specifying the information about the target exam, a graph 91 showing the time-series changes in the grades of the target students is displayed on the graph screen E.

[0099] Graph 91 has a horizontal axis representing the period, specifically, the specified "2020 academic year" "first semester midterm," "first semester end," "second semester midterm," and "second semester end," and a vertical axis representing the item "test score" and the test scores indicated by the subject "Japanese." As shown in Figure 15, graph 91 displays a line graph showing the progress of the target student's grades over the specified period and a line graph showing the progress of the class average.

[0100] At this time, the graph screen output unit 28x may display, in text, information that can be understood from the progress of the target student's grades along with the graph 91. Examples of information that can be understood from the progress of grades include, as shown in Fig. 15, "The student's scores are improving with each test taken," and "The student's scores are above average in the midterm and final scores of the second semester."

[0101] 15, the graph screen E has the subject check boxes 75a and 75b selected, displaying two check marks. In this case, the graph screen E has a graph 91 corresponding to the subject "Japanese" and a graph 92 corresponding to the subject "Mathematics."

[0102] (Second Modification) In the first and second embodiments described above, a survey asking about the level of understanding of each subject is conducted at the timing of regular exams, such as "Midterm of the First Semester of 2020" and "Final Term of the First Semester of 2020," as indicated by the exam type. Therefore, the survey is linked to the regular exam and related to the regular exam. However, the present invention is not limited to this, and the survey may be linked to non-regular exams, such as morning study. In this case, the survey content is not limited to exam-related content such as comprehension, but may also be related to lifestyle habits such as "wake-up time" and "whether or not students exercise." In other words, the survey content can be set arbitrarily from a wide range of topics, from students' lifestyle habits to their level of understanding of learning.

[0103] Furthermore, in the first and second embodiments, the responses to the questionnaire are indicated by numbers, but the present invention is not limited to this, and the responses may be indicated by symbols or letters as long as the responses can be made by selecting options.

[0104] Furthermore, the answers to one questionnaire may be determined based on multiple questionnaires. For example, multiple sub-questions, such as "How much time did you spend studying for this test?" and "Do you prefer sports to studying?", may be administered to students in advance, and the management server 20 may determine the answers to one main questionnaire, such as "What is the student's personality regarding learning?", based on the results of the sub-questions. In this case, the management server 20 may use the determined answers to the main questionnaire as the horizontal axis of a graph.

[0105] (Third Modification) In the first embodiment, the group classification unit 26 divides the graph into four quadrants by dividing the vertical and horizontal axes by predetermined values, and classifies the student icons into four groups depending on which quadrant they are located in. On the other hand, in the second embodiment, the group classification unit 26x classifies the student icons into any number of groups depending on their distance on the graph.

[0106] However, the present invention is not limited to this, and the group classification unit 26 of the first embodiment may use a method of grouping according to distance on a graph, or the group classification unit 26x of the second embodiment may use a method of grouping by dividing a graph into four quadrants. In other words, the management server 20 of the present invention may apply either a method of grouping by dividing a graph into four quadrants or a method of grouping according to distance on a graph.

[0107] (Fourth Modification) In the first embodiment described above, the horizontal axis of graph 50 on graph screen A shown in Fig. 8 indicates the evaluation scores for the thinking, judgment, and expression evaluations, but "thinking," "judgment," and "expression" can also be evaluated individually rather than being evaluated together. In this case, "thinking," "judgment," and "expression" are each evaluated by an evaluation-style test such as a rubric evaluation, and the horizontal axis can indicate any of the evaluation scores for the thinking evaluation, the judgment evaluation, and the expression evaluation.

[0108] 16 is an example of a graph screen including a graph 50x with the horizontal axis representing the grade of an assessment-style test and the vertical axis representing the test score of a test-style test. Specifically, the horizontal axis represents the score of the thinking assessment. The graph screen F shown in FIG. 16 has a test type item 61, a horizontal axis item 62, a vertical axis item 63, a subject check box 64, and the graph 50x.

[0109] 16, the exam type "2020 second semester final" and the subject "mathematics" are specified, and the item "thinking evaluation score" is specified as the horizontal axis and the item "test score" is specified as the vertical axis. By logging in using the terminal device 10 and making a predetermined selection, the teacher can easily select one of the evaluation score for the thinking evaluation, the evaluation score for the judgment evaluation, or the evaluation score for the expression evaluation on the horizontal axis of the graph.

[0110] Furthermore, similarly to the graph 50 of the first embodiment, when a student's icon is clicked on the graph 50x, the graph screen output unit 28 can display detailed information about the student. Note that, similarly to the first embodiment, when the icon A13 is clicked, the change from past grades is displayed, and therefore, for the sake of convenience, a description thereof will be omitted.

[0111] When icon A13 is clicked, the graph screen output unit 28 opens an individual screen 66x in a separate window and displays detailed information about the student identified by student ID "A13." The detailed information displayed on the individual screen 66x may include, for example, test results for other subjects for the same test type as graph 50x, "2020 Second Semester End," including the items "Thinking Evaluation Score" and "Test Score," "Judgment Evaluation Score" and "Test Score," and "Expression Evaluation Score" and "Test Score," as well as the group to which the student belongs in the corresponding graph. In this way, the individual screen 66x can display a list of groups to which students belong for each subject. The individual screen 66x may also display detailed information, such as the trends and status of the group to which the student belongs in graph 50x.

[0112] (Fifth Modification) In the first and second embodiments described above, the teacher uses the terminal device 10, but the present invention is not limited to this, and the teacher may use a teacher terminal having the functions of the management server 20. The teacher terminal, like the terminal device 10, may be, for example, a desktop PC, a laptop PC, or a tablet PC.

[0113] Fig. 17 shows an example of the configuration of an information display system 200 in this case. As shown in the figure, a student DB 41, a test DB 42, an evaluation DB 43, a questionnaire DB 44, and a grade DB 45 are connected to a teacher terminal 40 in the information display system 200, and the teacher terminal 40 can execute the processes (corresponding to steps S11 to S18 in Fig. 10 and steps S21 to S27 in Fig. 14) that were previously performed by the management server 20 to create and display information on a graph screen. The teacher terminal 40 can also print the graphs displayed on the graph screen. In this case, the teacher terminal 40 is an example of the information processing device of the present invention. [Explanation of symbols]

[0114] 5. Network 10 Terminal Equipment 20 Management Server 21 Communications Department 22 Input information acquisition unit 23. Grade Information Acquisition Department 24 Indicator judgment section 25 Graph Creation Department 26 Group Classification Section 27 Group Specific Department 28 Graph screen output section 31 Student DB 32 Test DB 33 Evaluation DB 34 Survey DB 35 Grades DB 100 Information Display System

Claims

1. a storage unit that stores identification information of a plurality of students and a plurality of learning-related indicators of the students in association with each other; an input information acquisition unit that receives, as input information, a selection input of an index related to the target learning as a horizontal axis and a vertical axis of the graph; a graph creation unit that creates a scatter diagram in which the learning-related indicators selected in response to the selection input are plotted on the horizontal and vertical axes, and student icons are plotted at corresponding positions; a group classification unit that classifies the student icons into a plurality of groups; a group identification unit that identifies a group to which a target student belongs; a graph output unit that outputs the graph; Equipped with The graph creation unit is an information processing device that adds an arrow to the icon of the target student to distinguish the icon of the target student from the icons of other students, and generates a graph that shows the correspondence between the icon of the target student and the group to which the target student belongs using the arrow.

2. An information processing device as described in Claim 1, wherein the graph creation unit outputs a screen that displays the trends or status of the group to which the target student belongs along with the graph.

3. The information processing device according to claim 1 , wherein the learning-related indicators are test scores and rubric evaluation scores for the tests.

4. The information processing device according to claim 1 or 3, wherein the learning-related index is a response number to a number-based scale evaluation questionnaire.

5. The information processing device according to claim 1 , wherein the group classification unit classifies the students based on an average value of each axis for the plurality of students.

6. The information processing apparatus according to claim 1 , wherein the graph output unit displays a list of groups of students for each subject corresponding to a selected icon.

7. The information processing device according to claim 1 , wherein the storage unit stores students and attribute information of the students in association with each other.

8. The information processing device according to claim 1 , wherein the graph output unit displays attribute information relating to the group.

9. The information processing apparatus according to claim 1 , wherein the graph output unit sets a threshold value related to learning and highlights an icon according to the threshold value.

10. The information processing device according to claim 1 , wherein the graph creation unit displays fluctuations in the indicators of the target student based on indicators related to past learning from the displayed results.

11. The information processing device according to claim 10 , wherein the change in the index is displayed by selecting an icon of a target student.

12. A program executed by an information processing device having a computer, a storage unit that stores identification information of a plurality of students and a plurality of learning-related indicators of the students in association with each other; an input information acquisition unit that receives, as input information, a selection input of an index related to the target learning as a horizontal axis and a vertical axis of the graph; a graph creation unit that creates a scatter diagram in which the learning-related indicators selected in response to the selection input are plotted on the horizontal and vertical axes, and student icons are plotted at corresponding positions; a group classification unit that classifies the student icons into a plurality of groups; a group identification unit for identifying a group to which a target student belongs; a graph output unit that outputs the graph; causing the computer to function as The graph creation unit is a program that distinguishes the icon of the target student from the icons of other students by adding an arrow to the icon of the target student, and generates a graph that shows the correspondence between the icon of the target student and the group to which the target student belongs using the arrow.

Citation Information

Patent Citations

  • Primary and secondary school student academic ability evaluation method and system

    CN110490467A

  • Data base processor

    JP1989231175A

  • Learner acquisition characteristic analysis system, its method, and program

    JP2006072122A

  • Consciousness research evaluation system

    JP2018129032A

  • Learning management device, learning management method and learning management program

    JP2019139686A