JP7803158B2 - Information processing device and program - Google Patents

Description

The present invention relates to technology for verifying and comparing data.

Conventionally, systems have been known that store the test results administered to students in a database and allow them to be viewed on a computer. Patent documents 1 and 2 disclose systems that calculate grade fluctuations based on the test in question and tests administered prior to that test, and highlight the grades of specific students.

Japanese Patent Application Laid-Open No. 2021-63900 Japanese Patent Application Laid-Open No. 2021-63901

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, as well as check individual information for each student, in order to provide appropriate instruction. 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.

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.

In one aspect of the present invention, an information processing device includes a storage unit that stores identification information for multiple students and multiple learning-related indicators for the students in association with each other; an input information acquisition unit that accepts input information, in which a selection of the learning-related indicators of interest is used as the horizontal and vertical axes of a graph; a graph creation unit that creates a scatter diagram in which student icons are plotted at corresponding positions on the learning-related indicators selected in response to the selection ; a group classification unit that classifies the student icons into multiple groups; a group identification unit that identifies the group to which the target student belongs ; and a graph output unit that outputs the graph. The graph creation unit adds an arrow to the icon of the target student to distinguish it 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 by using the arrow . According to this aspect, the information processing device can create a scatter diagram graph in which the horizontal and vertical axes are the learning-related indicators selected and input by the user. This graph reduces the burden on a learning supporter required to understand learning information. 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.

In one aspect of the above 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 using the test scores and rubric evaluation scores as the vertical and horizontal axes of the graph.

In one aspect of the above information processing device, the learning-related indicator is a response number in a numerical scale evaluation questionnaire. According to this aspect, the information processing device can create a graph using the response numbers in the numerical scale evaluation questionnaire as the vertical and horizontal axes of the graph.

In one aspect of the above information processing device, the group classification unit classifies based on the average values of the multiple students on each axis. According to this aspect, the information processing device can classify student icons into multiple groups based on the students' average values.

In one aspect of the above information processing device, the graph output unit displays a list of student groups for each subject corresponding to the selected icon. According to this aspect, the learning support staff can easily recognize the student groups for each subject from the list display.

In one aspect of the information processing device described above, the storage unit stores students in association with their attribute information. According to this aspect, the information processing device can easily use student attribute information by referencing the storage unit.

In one aspect of the above 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.

In one aspect of the above information processing device, the graph output unit sets a learning threshold and highlights an icon according to the threshold. According to this aspect, the learning assistant can easily check from the graph which students correspond to the learning indicators according to the threshold.

In one aspect of the information processing device described above, the graph creation unit displays 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 time-series fluctuations in indicators on a graph. This allows learning supporters to easily understand fluctuations in the student's grades from the graph.

In one aspect of the above information processing device, the fluctuations in the indicators are displayed by selecting the icon of the target student. According to this aspect, by selecting the student's icon, the learning assistant can easily check the fluctuations in the indicators of that student from the graph.

In another aspect of the present invention, there is provided a program executed by an information processing device including a computer, the program causing the computer to function as: a memory unit that stores identification information for a plurality of students and a plurality of learning-related indicators for the students in association with each other; an input information acquisition unit that accepts, as input information, selections of target learning-related indicators as horizontal and vertical axes of a graph; a graph creation unit that creates a scatter plot as a graph in which student icons are plotted at positions corresponding to the learning-related indicators selected in response to the selections, with the horizontal and vertical axes representing the learning-related indicators; 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; and a graph output unit that outputs the graph, wherein the graph creation unit adds an arrow to the icon of the target student to distinguish it from 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 by the arrow . By installing and executing this program on a computer, the information processing device according to the present invention can be configured.

The information processing device according to the present invention can create graphs that visualize overall information and individual student information based on multiple data points related to grades.

1 shows a configuration of an information display system according to an embodiment. FIG. 2 is a block diagram showing the internal configuration of a management server. 1 is an example of a data configuration of a test DB. 10 is an example of a data configuration of an evaluation DB. 10 is an example of a data configuration of a questionnaire DB. 10 is an example of the data structure of a grade DB. 10 is an example of a graph in which the horizontal axis represents evaluation points. 10 is an example of a screen including a graph with evaluation points on the horizontal axis. This is an example of a screen containing a graph with the survey results on the horizontal axis. 10 is a flowchart of a graph creation process in the first embodiment. This is an example of a graph focusing on the target students. This is an example screen containing a graph with evaluation scores on the horizontal axis and focusing on the target student. This is an example screen containing a graph with the survey results on the horizontal axis and the focus on the target students. 10 is a flowchart of a graph creation process according to the second embodiment. 10 is an example of a screen containing a graph showing the progress of a target student's grades. 13 is an example of a screen in the fourth modified example. 13 shows the configuration of an information display system according to a fifth modified example.

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.

The terminal device 10 is used by the teacher and may be, for example, a desktop PC, laptop PC, or tablet PC. The terminal device 10 is equipped with a display unit such as an LCD display, and is used to output grade information based on test results, etc.

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 containing graphs that visualize overall information, such as the entire grade or class, and individual information for each student, based on input information from the terminal device 10 used by the teacher. The management server 20 then transmits the information for the graph screen to the terminal device 10. This allows the terminal device 10 to display the graph screen on its display unit.

Note that communication between the management server 20 and the terminal device 10 via the network 5 may be wired or wireless.

[Management Server Configuration]
2 is a block diagram showing the internal configuration of the management server 20. The 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.

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

Student DB31 stores student information about students. Specifically, student DB31 stores student information such as a student ID, which is student identification information, the student's name, grade, class, etc.

Test DB32 stores test information related to test-style exams in which students enter answers. Figure 3 is an example of the data structure of test DB32. As shown in the figure, test DB32 stores information such as test type, items, subjects, and test ID. Test type is the type of exam, such as "Midterm, First Semester 2020" or "Final, First Semester 2020." Items indicate the format of the exam and an indicator of its results, such as "Test Score" for a test-style exam, "Thinking, Judgment, and Expression Evaluation Points" for an assessment-style exam described below, or "Survey Responses" for a questionnaire-style exam. Subjects are the subjects of the test, such as "Mathematics," "Japanese," or "English." Test ID is identification information for the exam.

Note that test DB32 only needs to be able to check test information related to test-style exams, and its data structure can be set arbitrarily. For example, in this embodiment, the exam type is a regular exam including the year and semester, but the present invention is not limited to this and can be set arbitrarily. Similarly, items and subjects can also be set arbitrarily.

Evaluation DB33 stores evaluation information related to evaluation-style tests that evaluate student performance. In this embodiment, rubric evaluation is also considered a type of test and an evaluation-style test. Figure 4 shows an example of the data structure of evaluation DB33. As shown in the figure, evaluation DB33 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 test DB32 described above.

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

The evaluation DB33 only needs to be able to confirm evaluation information related to evaluation-style tests, and its data structure can be set arbitrarily.

The questionnaire DB 34 stores questionnaire information related to questionnaire-style tests 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. Figure 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.

The survey questions are posed to students, and include questions that gauge their level of understanding, such as, "How much of the material covered in this test did you understand?" Answer numbers and their answers are linked, and examples of the answer numbers and their answers include, for example, answer number "1" corresponding to "I didn't understand it at all" and answer number "5" corresponding to "I understood it perfectly." In this embodiment, surveys that gauge the level of understanding of each subject are administered at the time of regular exams, such as "Midterm 1, 2020" and "Final 1, 2020," as indicated by the exam type. In this case, the smaller the answer number, the lower the student's level of understanding, and the higher the answer number, the higher the student's level of understanding. In this way, in this embodiment, the survey-style test can be considered a number-based, step-by-step evaluation survey.

The questionnaire DB34 only needs to be able to check questionnaire information related to questionnaire-style tests, and its data structure can be set arbitrarily.

Result DB35 stores grade information related to a student's test results, corresponding to the student's student ID. Figure 6 shows an example of the data structure of result DB35. As shown in the figure, result DB35 stores information such as student ID, test type, item, test ID, test result, test date, and status/trend. Specifically, test results include scores if the test is in test format, grades if the test is in assessment format, and answer numbers if the test is in questionnaire format. The test date is the date the test was conducted. Result DB35 is updated when the grading, evaluation, and response collection of the student's test are completed and confirmed. Status/trend is attribute information that indicates the student's status and tendency, and can include self-efficacy, feelings about tests, trust in teachers, whether the student has friends, etc., and can be set arbitrarily. Specifically, teachers enter the status and tendency of each student into student DB31 based on the test results (test scores and questionnaire responses).

Note that the grade DB35 only needs to continuously store the results of each test, such as tests, rubric evaluations, and questionnaires, for each student, and the data structure can be set as desired.

The input information acquisition unit 22 acquires information about the exam that is the subject of the graph. Specifically, the teacher uses the terminal device 10 to log in to a specified site, specify the exam type, subject, exam items to be used on the horizontal axis of the graph, and exam items to be used on the vertical axis of the graph, and transmits this information as input information to the management server 20.

In this embodiment, the information about 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. For example, any information that can identify the exam that is the subject of the graph, such as an exam ID, can be used.

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

The grade information acquisition unit 23 acquires grade information for students belonging to a specified class from the grade DB 35 based on the input information. Specifically, the grade information acquisition unit 23 first references the student DB 31 to identify the student IDs of students belonging to a specified class. The grade information acquisition unit 23 also references the test DB 32, the evaluation DB 33, and the questionnaire DB 34 to identify the test IDs of the tests that will form the horizontal axis of the graph and the test IDs of the tests that will form the vertical axis. The grade information acquisition unit 23 then acquires grade information from the grade DB 35 based on the identified student IDs and test IDs.

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." Note that the number of grade information acquisition units 23 acquires in chronological order is set arbitrarily in advance.

The index determination unit 24 determines whether a student's grade index is below 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 below the threshold. Note that in this embodiment, the index is set to a score, evaluation score, or 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.

In this embodiment, the questionnaire is a question asking about the student's 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 questionnaire-style tests, the index determination unit 24 temporarily stores the student IDs of students whose answer numbers are below the threshold.

The graph creation unit 25 creates a scatter plot graph 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, icons are simple symbols or figures, such as black or white circles. Figure 7 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 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." Furthermore, graph 50 has the vertical axis representing the test results for the test type "2020 Second Semester End," the item "Test Score," and the subject "Mathematics." Graph 50 plots black circle icons representing each student at the points where the test grades on the horizontal axis intersect with the test scores on the vertical axis.

The group classification unit 26 classifies the student icons on the graph into multiple groups. Specifically, as shown in Figure 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 graph 50, the quadrant below average on both the vertical and horizontal axes is designated as the first quadrant, the quadrant above average on the vertical axis and below average on the horizontal axis is designated as the second quadrant, the quadrant above average on both the vertical and horizontal axes is designated as the third quadrant, and the quadrant below average on the vertical axis and above average on the horizontal axis is designated as the fourth quadrant. The group classification unit 26 classifies the student icons into four groups, with the icons plotted in the first quadrant designated as the first group, the icons plotted in the second quadrant designated as the second group, the icons plotted in the third quadrant designated as the third group, and the icons plotted in the fourth quadrant designated as the fourth group. In other words, students are classified into multiple 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."

In this embodiment, graph 50 is divided into four quadrants by dividing the horizontal axis by the class average evaluation score and the vertical axis by the class average score, 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 or a standard deviation of 45, depending on the test that is the subject of the vertical and horizontal axes.

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 state and tendency of all students belonging to a specified group from the student DB 31. The group identification unit 27 then identifies the state and tendency of the group based on the state and tendency of the extracted multiple students. For example, if a specified 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 a group's status and tendency is not limited to majority vote; it can be determined from the status and tendency of multiple students belonging to the group, and the method can be set arbitrarily. The status and tendency of a group are also referred to as attribute information about the group.

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.

Now, we will explain the graph screen. Figure 8 is an example of a graph screen containing a graph 50 with the horizontal axis representing the grade of an assessment-style test and the vertical axis representing the score of a test-style test. Graph screen A shown in Figure 8 has a test type item 61, a horizontal axis item 62, a vertical axis item 63, subject check boxes 64, and the graph 50.

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 checkboxes 64 are items for selecting the subjects 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 can be entered directly rather than being selected in each item.

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 checkboxes 64. Once the teacher has finished specifying the information about the target exam, graph 50, 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 alongside the icon, or the student ID may be displayed on graph 50 by moving the cursor close to the icon.

Graph 50 has the horizontal axis representing the test grades indicated by the test type "2020 Second Semester End," the item "Thinking, Judgment, and Expression Grades," and the subject "Mathematics," and the vertical axis representing the test grades indicated by the test type "2020 Second Semester End," the item "Test Score," and the subject "Mathematics." At this time, the graph screen output unit 28 references the information temporarily stored by the index determination unit 24 and highlights on graph 50, for example, by flashing the icons of students whose indexes are below the threshold.

Furthermore, when a student's icon is clicked on the graph 50, the graph screen output unit 28 displays detailed information about that 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.

As a first example, when icon A13 is clicked, the graph screen output unit 28 displays an animation of icon A13 moving (changing) as indicated by the arrow in graph 50 in FIG. 8 based on the change from past grades. At this time, the white circle icon shown in graph 50 in FIG. 8 is plotted from the results of the previous test for the student identified by student ID "A13" based on the grade information. Furthermore, if grade indicators such as scores or evaluation points are increasing, the graph screen output unit 28 may, for example, highlight the increase by using a sparkling effect in addition to the movement indicated by the arrow. Furthermore, the change from past grades may be displayed using only an arrow rather than animation. In this case, as long as the change can be displayed, the design and display method are not limited to arrows and can be set as desired. This makes it possible to visualize changes in student grades over time.

As a second example, when icon A13 is clicked, the graph screen output unit 28 opens an individual screen 66 in a separate window and displays detailed information about the student identified by student ID "A13." The information displayed on the individual screen 66 includes, for example, the same test type as graph 50, "2020 Second Semester End," test results for other subjects with 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, the individual screen 66 can display a list of groups to which students belong for each subject. The individual screen 66 may also display detailed information such as the trends and status of the group to which the student belongs in graph 50.

The graphs created by the graph creation unit 25 can have questionnaire responses on the vertical or horizontal axis. Figure 9 is an example of a graph screen including a graph with questionnaire test answer numbers on the horizontal axis and test-style test scores on the vertical axis. Graph screen B shown in Figure 9 has a test type item 61, horizontal axis item 62, vertical axis item 63, subject check boxes 64, graph 68, and questionnaire item 69. When the vertical or horizontal axis of the graph represents questionnaire test responses, the questionnaire item 69 refers to the questionnaire DB 34 and displays the questionnaire content, answer number, and the answer content.

On graph screen B shown in Figure 9, the exam type "2020 Second Semester Final" and subject "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 the terminal device 10 and making the required selections, teachers can easily specify the survey responses as the vertical and horizontal axes of the graph. Once the teacher has finished specifying the information about the target exam, graph screen B displays graph 68, a scatter plot in which icons of all students belonging to a specified class are plotted. At this time, student IDs may be displayed alongside the icons, or the student IDs may be displayed on graph 68 by moving the cursor close to the icon.

Graph 68 has the horizontal axis representing the test answer number indicated by the test type "End of 2020 2nd semester", the item "Survey response", and the subject "Mathematics", and the vertical axis representing the test score indicated by the test type "End of 2020 2nd semester", the item "Test score", and the subject "Mathematics". At this time, the graph screen output unit 28 references the information temporarily stored by the index determination unit 24 and highlights on graph 68, for example by flashing the icons of students whose index is below the threshold.

In addition, 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 for the graph screen A described above, so for convenience, a detailed explanation will be omitted.

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. Furthermore, 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. Furthermore, the performance DB 35 of the management server 20 is an example of the storage unit of the present invention.

[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.

The teacher logs in to a specified site using the terminal device 10, specifies information about the target exam as the horizontal and vertical axes of the graph, and sends this information to the management server 20 as input information. Specifically, the terminal device 10 sends the exam type and subject, the exam items that will appear on the horizontal axis, and the exam items that will appear 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 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 each student's grade index is below a threshold and temporarily stores the student IDs of students whose grades are below the threshold (step S13).

The management server 20 also creates a graph based on the input information and grade information, with the test results specified by the teacher on the vertical and horizontal axes (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 sends 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.

When a teacher wants to check detailed information about a specific student, they click 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 identifying the student with that icon. The management server 20 determines whether or not an individual screen request has been received (Step S17). If an individual screen request has been received (Step S17; Yes), the management server 20 creates an individual screen displaying detailed information about the student identified by the student ID included in the individual screen request, sends it to the terminal device 10 (Step S18), and terminates the graph creation process. On the other hand, if an individual screen request has not been received (Step S17; No), the management server 20 also terminates the graph creation process.

In this embodiment, the test-style exam and the evaluation-style exam are in separate formats, but the evaluation-style exam may also be included in the test-style exam, and the evaluation points may be included in the score.

In this way, the information display system 100 of the present invention visualizes the results of tests, rubric assessments, questionnaires, and other examinations in a scatter plot, making it possible to check the status of all learners and individual learners. Furthermore, the learning assistant can freely specify the test results that will be the horizontal and vertical axes of the scatter plot graph. This allows the learning assistant 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 assistant of understanding information for the entire class or grade and information for each individual learner. Furthermore, the learning assistant can propose optimal teaching methods for each individual learner, taking into account the overall learner trends.

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 substantially the same as those of the first embodiment, so for convenience, description will be omitted and only the differences will be described. Note that, hereinafter, configurations of the management server 20 that differ from those of the first embodiment will be suffixed with an "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 those of the first embodiment.

In the second embodiment, the input information acquisition unit 22x acquires the student ID of the target student as input information in addition to information about the exam that is the subject of the graph.

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

The graphs created by the graph creation unit 25x are now described. 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 test results indicated by the test type "End of First Semester 2020," the item "Evaluation Score for Thinking, Judgment, and Expression," and the subject "Japanese." Also, graph 77 has the vertical axis representing the scores, which are the test results indicated by the test type "End of First Semester 2020," the item "Test Score," and the subject "Japanese." Graph 77 plots a human-shaped icon representing each student at the point where the test evaluation score on the horizontal axis intersects with the test score on the vertical axis. At this time, the graph creation unit 25x distinguishes the target student's icon 80 from the icons of other students by using size, color, pattern, arrowheads, etc.

The group classification unit 26x in the second embodiment classifies the student icons on the graph into multiple groups. Specifically, as shown in FIG. 11, the group classification unit 26x groups each student icon into any number of groups according to their distance on the graph 77 while removing outliers. Examples of grouping methods include 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.

The group identification unit 27x in the second embodiment identifies the group to which the target student belongs and also identifies the status and trends of the identified group.

The graph screen output unit 28x in the second embodiment 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. The graph screen will now be described. Figure 12 is an example of a graph screen including a graph 77 with the horizontal axis representing the grade of an assessment-style test and the vertical axis representing the score of a test-style test. Graph screen C shown in Figure 12 has a student ID item 71, a test type item 72, a horizontal axis item 73, a vertical axis item 74, a subject checkbox 75, a grade information item 76, a graph 77, and a graph 78.

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 checkbox 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 for the same exam type as graph 77, "End of first semester 2020," and can be set as desired.

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 scatter plot graph 77, in which icons for all students belonging to a specified class are plotted, is displayed on the graph screen C.

Graph 77 has the horizontal axis representing the test scores indicated by the test type "End of 1st semester 2020," the item "Thinking, judgment, and expression evaluation score," and the subject "Japanese," and the vertical axis representing 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 may refer to information temporarily stored by the index determination unit 24 and highlight on graph 77, for example, by flashing the icons of students whose indexes are below the threshold.

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 is clear, using an arrow or the like attached to the icon 80. The graph screen output unit 28x also displays the trends and status of the group to which the icon 80 belongs, along with the graph 77.

As shown in Figure 12, graph screen C has subject check boxes 75a and 75b selected, displaying two check marks. In this case, graph screen C has graph 77 corresponding to the subject "Japanese" and graph 78 corresponding to the subject "Mathematics."

The graphs created by the graph creation unit 25x can have questionnaire responses on the vertical and horizontal axes. Figure 13 is an example of a graph screen including a graph with questionnaire-style test response numbers on the horizontal axis and test-style test scores on the vertical axis. Graph screen D shown in Figure 13 has a student ID item 71, a test type item 72, a horizontal axis item 73, a vertical axis item 74, a subject checkbox 75, a grade information item 76, a graph 84, and a graph 85.

Although not shown, if the vertical or horizontal axis of the graph represents responses to a questionnaire-style test, the graph screen D may include a questionnaire item that references the questionnaire DB 34 and displays the questionnaire content, answer number, and the answer content.

Graph screen D shown in Figure 13 specifies student ID "A20," exam type "End of first semester 2020," subjects "Japanese" and "Mathematics," and specifies the item "Survey responses" as the horizontal axis and the item "Test scores" as the vertical axis. By logging in to the graph screen using terminal device 10 and making the required selections, teachers can easily specify the survey responses as the vertical and horizontal axes of the graph. Once the teacher has finished specifying the information about the target exam, graph 84, a scatter plot in which the icons of all students belonging to the specified class are plotted, is displayed on graph screen D.

Graph 84 has the horizontal axis representing the test answer number indicated by the test type "End of 1st semester 2020," the item "Survey response," and the subject "Japanese," and the vertical axis representing the test score 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 references the information temporarily stored by the index determination unit 24 and highlights on graph 84, for example, by flashing the icons of students whose index is below the threshold.

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 the group to which the icon 86 belongs is clearly indicated, using an arrow or the like attached to the icon 86. The graph screen output unit 28x also displays the trends and status of the group to which the icon 86 belongs, along with the graph 84.

As shown in Figure 13, graph screen D has subject check boxes 75a and 75b selected, displaying two check marks. In this case, graph screen D has graph 84 corresponding to the subject "Japanese" and graph 85 corresponding to the subject "Mathematics."

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

[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.

The teacher logs in to a specified website using the terminal device 10, specifies the student ID of the target student and information about the target exam, and sends this as input information to the management server 20. Specifically, the terminal device 10 sends 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 each student's grade index is below a threshold and temporarily stores the student IDs of students below the threshold (step S23).

The management server 20 also creates a graph based on the input information and grade information, with the test results specified 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.

Then, the management server 20 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). Once the group is identified, the management server 20 creates a graph that clearly identifies the group to which the target student belongs. The management server 20 then creates graph screen information including the created graph and sends 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.

In this embodiment, test-style exams and evaluation-style exams are in different formats, but evaluation-style exams may also be included in test-style exams, and the scores may include evaluation points.

This allows learning assistants to easily view graphs in which they can freely specify the learner they want to focus on and the test results on the horizontal and vertical axes. This reduces the burden on learning assistants who need to understand information about the entire class and the individual learner they want to focus on. Learning assistants can also propose optimal teaching methods for individual learners, taking into account the overall learner trends.

<Modification>
(First Modification)
The graph creation unit 25x of the second embodiment described above can create a graph showing the time-series progression of a target student's grades 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 score on the vertical axis. The graph screen E shown in Fig. 15 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 91, and a graph 92.

When creating a graph showing the time series progression of a student's grades, the exam type item 72 is selected as the year, and the horizontal axis item 73 is selected as the period, and these are displayed.

Graph screen E shown in Figure 15 specifies student ID "A20," exam type "2020," and subjects "Japanese" and "Mathematics," with the horizontal axis specifying the item "Mid-term of first semester to final term of second semester" and the vertical axis specifying the item "Test score." By logging in to the graph screen using the terminal device 10 and making the required selections, teachers can easily specify the creation of a graph showing the time-series progression of a target student's grades. Information related to the specified target exam is sent to the management server 20 as input information.

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

The graph creation unit 25x also calculates the class average score for each test included in the category "Mid-term of first semester to end-term of second semester." Specifically, the graph creation unit 25x calculates the class average score for the mid-term of the first semester, the end-term of the first semester, the mid-term of the second semester, and the end-term of the second semester based on the grade information. Then, based on the grade information, the graph creation unit 25x creates a graph 91 that includes 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.

Once the teacher has completed specifying the information about the target exam, a graph 91 showing the progress of the target student's grades over time will be displayed on graph screen E.

Graph 91 has a horizontal axis representing the period, specifically the specified "1st semester midterm," "1st semester end," "2nd semester midterm," and "2nd semester end" for the "2020 academic year," and a vertical axis representing the test scores indicated by the item "Test Score" and 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.

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. As shown in FIG. 15, information that can be understood from the progress of grades may include, for example, "Scores are improving with each test," or "Scores are exceeding the average at the midterm and final scores of the second semester."

As shown in Figure 15, graph screen E shows subject check boxes 75a and 75b selected, displaying two check marks. In this case, graph screen E has graph 91 corresponding to the subject "Japanese" and graph 92 corresponding to the subject "Mathematics."

(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 First Semester 2020" and "Final Term of First Semester 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.

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

The answer to one questionnaire may also 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?" are administered to students in advance, and the management server 20 determines the answer 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 can use the determined answers to the main questionnaire as the horizontal axis of the graph.

(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.

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 the graph, or the group classification unit 26x of the second embodiment may use a method of grouping by dividing the graph into four quadrants. In other words, the management server 20 of the present invention may apply either a method of grouping by dividing the graph into four quadrants, or a method of grouping according to distance on the graph.

(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 it is also possible to evaluate "thinking,""judgment," and "expression" individually rather than evaluating them 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 may indicate any of the evaluation scores for the thinking evaluation, the judgment evaluation, and the expression evaluation.

Figure 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 Figure 16 has a test type item 61, a horizontal axis item 62, a vertical axis item 63, subject check boxes 64, and a graph 50x.

Graph screen F shown in Figure 16 specifies the exam type "2020 Second Semester End" and the subject "Mathematics," with the item "Thinking Assessment Score" specified as the horizontal axis and the item "Test Score" specified as the vertical axis. By logging in using the terminal device 10 and making the required selection, teachers can easily select either the thinking assessment score, judgment assessment score, or expression assessment score as the horizontal axis of the graph.

Furthermore, similar to the graph 50 in 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 that student. Note that, similar to the first embodiment, clicking on icon A13 displays the changes in performance compared to past grades, and therefore, for the sake of brevity, a detailed explanation will be omitted.

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," for 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.

(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 that has the functions of the management server 20. The teacher terminal, like the terminal device 10, may be, for example, a desktop PC, laptop PC, or tablet PC.

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

5 Network 10 Terminal device 20 Management server 21 Communication unit 22 Input information acquisition unit 23 Grade information acquisition unit 24 Index determination unit 25 Graph creation unit 26 Group classification unit 27 Group identification unit 28 Graph screen output unit 31 Student DB
32 Test DB
33 Evaluation DB
34 Survey DB
35 Grade DB
100 Information display system

Claims (12)

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 . The information processing device according to claim 1 , wherein the graph creation unit outputs a screen on which the tendency or state of the group to which the target student belongs is displayed together with the graph. The information processing device according to claim 1, wherein the learning indicators are test scores and rubric evaluation scores for the test. 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. 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. 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. 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. The information processing device according to claim 1 , wherein the graph output unit displays attribute information relating to the group. 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. 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. The information processing device according to claim 10 , wherein the change in the index is displayed by selecting an icon of a target student. 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 .