JP2018163205A - Learning support device and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a learning support device capable of presenting proper comments by grasping a description state of a user.SOLUTION: A learning support device is configured to communicate with an input device that a user uses via a network. The learning support device stores comment data in which a criterion about an answering state information indicating an answering state by the user is associated with comments corresponding to the criterion. The learning support device acquires input data input by the input device, and generates the answering state information on the basis of the acquired input data, and when the answering state information is pertinent to the criterion, acquires the comments corresponding to the criterion by referring to the comment data.SELECTED DRAWING: Figure 5

Description

  The present invention relates to a technology for supporting distance learning.

  There is known a remote lesson system in which a school and a teacher who is away from the school are connected through a network, and video and audio are transmitted to conduct a lesson. An example of such a remote lesson system is described in Patent Document 1.

JP 2005-338510 A

  In the remote lesson system described in Patent Literature 1, video and audio are transmitted and received between the school side and the teacher side, and the lesson is performed. Also, in recent distance learning systems, students use devices such as digital pens and tablet PCs, and the student input information for such devices is sent to the teacher side and displayed on the teacher side, and the contents and progress Students are also evaluated on the basis of understanding.

  For example, when an exercise or an effect confirmation test is performed during a lesson, input information (answer information for the test) of a plurality of students is transmitted to the teacher side by the remote lesson system. In this case, it is preferable that the teacher can grasp not only the result of the student's answer scoring but also the time spent by the student, the student's thought state, and the like, and present an appropriate comment.

  The main object of the present invention is to provide a learning support apparatus that can grasp a user's answer situation and present an appropriate comment.

  In one aspect of the present invention, a learning support apparatus that communicates with an input device used by a user through a network links a determination criterion regarding answer status information indicating an answer status by the user with a comment corresponding to the determination criterion. A storage unit that stores the comment data, an input data acquisition unit that acquires the input data input by the input device, an answer status analysis unit that generates the answer status information based on the acquired input data, and Comment acquisition means for referring to comment data and acquiring a comment corresponding to the determination criterion when the answer status information corresponds to the determination criterion.

  The learning support apparatus is configured to be able to communicate with an input device used by a user through a network. The learning support apparatus stores comment data in which a determination criterion for answer status information indicating an answer status by a user is associated with a comment corresponding to the determination criterion. The learning support apparatus acquires input data input by the input device, and generates answer status information based on the acquired input data. Then, with reference to the comment data, when the answer status information corresponds to the determination criterion, a comment corresponding to the determination criterion is acquired. Thereby, an appropriate comment according to the answer situation by the user can be generated.

  In one aspect of the learning support apparatus, the determination criterion corresponds to a combination of a plurality of answer status information, and the comment acquisition unit is configured such that the combination of the plurality of answer status information corresponds to the determination criterion. Then, the comment is acquired. In this aspect, it is determined whether or not a combination of a plurality of answer status information matches the determination criterion.

  Preferably, the answer status information includes at least one of an answer time for each question by the user, correctness, and description amount.

  Another aspect of the learning support apparatus includes a transmission unit that transmits the comment acquired by the acquisition unit in response to a request from an external terminal device. In this aspect, the acquired comment is transmitted to an external terminal device.

  In another aspect of the present invention, a program that is provided by a computer and that is executed by a learning support apparatus that communicates with an input device used by a user via a network includes: a determination criterion for answer status information indicating an answer status by the user; A storage unit for storing comment data associated with a comment corresponding to a reference, input data acquisition means for acquiring input data input by the input device, and generating the answer status information based on the acquired input data The computer is caused to function as comment acquisition means for acquiring a comment corresponding to the determination criteria when the answer status analysis means refers to the comment data and the answer status information corresponds to the determination criteria. By executing this program on a computer, the above learning support apparatus can be realized.

The structure of the distance learning system which concerns on embodiment is shown. It is a block diagram which shows the internal structure of a management server. An example of scoring information is shown. An example of analysis items of answer status is shown. An example of a comment table is shown. The example of a display of the analysis result of a student's answer is shown. It is a flowchart of an analysis result data generation process. It is a flowchart of a comment production | generation process. It is a flowchart of a chart generation process.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
[overall structure]
FIG. 1 shows the configuration of a distance learning system to which the learning support apparatus of the present invention is applied. The remote lesson system 100 is configured such that the input device 10 and the connection device 12 provided on the student side (school), the management server 20, and the teacher terminal 30 provided on the teacher side can communicate via the network 5. It is.

  On the student side, an input device 10 used by each student and a connection device 12 are provided. The input device 10 is a combination of a digital pen 10a or a tablet 10b and a touch pen 10c. That is, when performing a test or an exercise, the student uses the digital pen 10a to input an answer on an answer sheet, which is a dedicated sheet, or inputs an answer to the tablet 10b with the touch pen 10c. In the following description, the term “input device 10” simply includes both the digital pen 10a and the combination of the tablet 10b and the touch pen 10c. In FIG. 1, for convenience, only one digital pen 10a, one tablet 10b, and one touch pen 10c are illustrated, but in reality, the number of digital pens 10a or tablets 10b and touch pens 10c corresponding to the number of students is shown. used.

  The connection device 12 is a communication terminal for transmitting data received from the input device 10 to the outside. For example, the connection device 12 is a PC, a smartphone, or the like, and receives the input data D1 from the input device 10. Communication between the input device 10 and the connection device 12 may be wireless or wired. In the present embodiment, the input data D1 is answer information input by the student using the digital pen 10a or a combination of the tablet 10b and the touch pen 10c. The connection device 12 transmits the received input data D1 to the management server 20 through the network 5. Note that communication between the connection device 12 and the management server 20 through the network 5 may be wired or wireless.

  The management server 20 is connected to a test information database (hereinafter, “database” is referred to as “DB”) 24 and a test result DB 28. The management server 20 receives the input data D1 of each student from the connection device 12 on the student side, and analyzes the answer content and answer status of each student. Then, the management server 20 generates information such as individual student score rates, charts, comments, etc., and information such as average score rates and score rate distributions of the entire class, and displays them as display data D2 for the teacher. Transmit to terminal 30. Communication between the management server 20 and the teacher terminal 30 through the network 5 may be wired or wireless.

  The teacher terminal 30 provided on the teacher side is, for example, a desktop PC, a laptop PC, a tablet PC, or the like. When the teacher terminal 30 is a tablet PC, a communication terminal such as the connection device 12 provided on the student side may be provided on the teacher side. The teacher terminal 30 includes a display unit such as a liquid crystal display. The teacher terminal 30 receives the display data D2 from the management server 20 and displays it on the display unit of the teacher terminal 30.

[Management server configuration]
FIG. 2 is a block diagram showing the internal configuration of the management server 20. The management server 20 includes a communication unit 21, a stroke extraction unit 22, an answer situation analysis unit 23, a score rate calculation unit 25, a chart generation unit 26, and a comment generation unit 27. Note that these components, the test information DB 24, and the test result DB 28 are connected to each other via a bus 29.

  The communication unit 21 is a communication unit for communicating with the connection device 12 on the student side and the teacher terminal 30 on the teacher side through the network 5. The stroke extraction unit 22 extracts a stroke input by the student from the input data D1 received by the communication unit 21 from the connection device 12 on the student side. Specifically, the stroke extracting unit 22 extracts “time”, “positional coordinates”, “number of strokes”, and the like when the student inputs the answer based on the input data D1.

  The test information DB 24 stores test information that is information related to tests to be performed by the students. In this embodiment, the test is an arithmetic test, and it is assumed that a problem is prepared for each of a plurality of areas (learning areas) such as “integer”, “decimal”, and “fraction”. The test information includes test problem information, answer information, scoring information, and the like. The scoring information is information used for scoring, indicating a score (scoring) for each problem.

  FIG. 3 shows an example of scoring information. As shown in the figure, the scoring information includes information on “question number”, “score”, and “difficulty point” for each “area”. “Problem number” is an identification number of each problem, and is assigned a number classified for each region. “Score” is the score of each question. The “difficulty point” is a point based on the difficulty level of each problem. The multiple questions included in the test include questions with different levels of difficulty, from easy to difficult. Here, although the degree of difficulty can be somewhat reflected in the score for each problem, it is not preferable that the score is very large for each problem. Therefore, in addition to assigning scores equally to each problem, difficulty points are provided so that a student who has correctly answered a problem with high difficulty can be given a higher evaluation accordingly. That is, difficulty points are assigned to questions that are correctly answered by the students, in addition to the scores. In the example of FIG. 3, when the problem 1-1 is correctly answered, the difficulty point “3” is obtained in addition to the score “1”. As described above, by introducing the difficulty level point as an evaluation index, it is possible to evaluate in consideration of the difficulty level of the problem.

  The test result DB 28 stores test result information including the results of tests performed by each student in the past and analysis result data thereof. The test result DB 28 stores test result information for each test date and time. Specifically, the test result information includes information on answers written by each student, scoring results, student ranks in the test (class rank, grade rank, overall rank, etc.), and the answer status of the students for each test. (For example, answer time of the whole test, answer time by question, correct / incorrect information, description amount, etc.), analysis result data, and the like. Further, the test result DB 28 also stores test result information regarding tests that have been performed in the past.

  The answer status analysis unit 23 analyzes information related to the answer status by the student (hereinafter also referred to as “answer status”). Here, the “answer situation” is information indicating a situation when the student is inputting an answer, not an answer to the question itself. FIG. 4 shows an example of analysis items which are items analyzed by the answer situation analysis unit 23. In FIG. 4, “analysis item” is an item to be analyzed, and “content” means information to be acquired by analysis. “Data to be used” indicates data used for analysis.

  For example, the analysis item “answer time (whole)” is the time required for the students to answer all the questions, and is analyzed based on the “time” extracted by the stroke extraction unit 22. The analysis item “answer time (by question)” is the time required for the student to answer the corresponding question, and is similarly analyzed based on the “time” extracted by the stroke extraction unit 22. The analysis item “correct / incorrect” indicates the correctness / incorrectness of the answer by the student (whether the answer is correct or incorrect), acquires the input content based on the position coordinates extracted by the stroke extraction unit 22, and performs OCR processing to compare with the correct answer data To be analyzed. The analysis item “description amount” is the amount of characters input by the student, and is obtained by the product of the position coordinates extracted by the stroke extraction unit 22 and the number of strokes. In addition to these, for example, when the input by the student is temporarily stopped based on the stroke extracted by the stroke extracting unit 22, this is “stumbled”, that is, the situation where the thinking is not progressing smoothly is analyzed. May be. As described above, the answer situation analysis unit 23 analyzes each analysis item based on the data such as “time”, “position coordinates”, “number of strokes” extracted by the stroke extraction unit 22, and the answer is obtained as a result. Generate status information.

The scoring rate calculation unit 25 calculates the scoring rate of students' answers. Here, the scoring rate is
(Score rate) = (Total score obtained by correct answer) / (Total score of all questions)
Given in.

The chart generation unit 26 aggregates the above-described difficulty points for each area based on the student's answer, and generates a radar chart as one evaluation index based on the result. Specifically, the chart generation unit 26 refers to the scoring information illustrated in FIG. 3 and totals the difficulty points acquired by the students' answers, and calculates the difficulty point acquisition rate for each area as follows. calculate.
(Difficulty point acquisition rate)
= (Total difficulty points acquired) / (Total difficulty points for all issues)
And the chart production | generation part 26 produces | generates a radar chart based on the acquisition rate of the difficulty point calculated for every area | region. Since this radar chart is created based on the difficulty points rather than the scores based on the answers of the students, it is an index indicating the ability to adapt to a problem with a higher degree of difficulty than a simple score ability. In addition, the chart generation unit 26 generates a comment for each region as necessary based on the calculated difficulty point acquisition rate. For example, the chart generation unit 26 generates a comment for each region for a region where the difficulty point acquisition rate is less than 50%.

  The comment generation unit 27 generates a comment to be presented to the teacher based on the analysis result by the answer status analysis unit 23, that is, the answer status information. The comment generation unit 27 includes a comment table that stores the determination criteria of the answer status information and the corresponding comments in association with each other. FIG. 5 shows an example of the comment table.

  The comment table includes “evaluation item”, “answer status information to be used”, “judgment criterion”, and “comment”. “Evaluation item” is an item to be evaluated. In this example, “answer time”, “thought state”, and “trial and error” are prepared. “Used answer status information” indicates answer status information used for evaluation of an evaluation item. In this example, the answer status information shown in FIG. 4 is used. The “determination criterion” indicates a criterion for determining each evaluation item. “Comment” indicates a comment generated when the determination criterion is met.

  For example, for the evaluation item “answer time”, “answer time (by question)” and “correct” are used as answer status information. For example, if a student's answer status information meets the criteria that the answer time for each question is short and the correct answer rate obtained as a result of correct / incorrect analysis is low, the student is quick but accurate. Since it is lacking in nature, the comment generation unit 27 generates a comment “If you solve it quickly, let's review it.” On the other hand, if the answer status information of a student meets the criteria that the answer time by question is long and the correct answer rate obtained as a result of correct / incorrect analysis is high, the student is highly accurate. Since the speed is slow, the comment generation unit 27 generates a comment “Let's try to shorten the time by doing what is possible with mental arithmetic”. As shown in FIG. 5, for other evaluation items “thinking state” and “trial and error”, a criterion and a comment generated when the criterion is met are prepared in association with each other. . As described above, the comment generation unit 27 compares the combination of answer status information by the answer status analysis unit 23 with a predetermined determination criterion, and generates a comment prepared in advance when the combination matches the determination criterion. Note that no comment is generated when the answer status information does not meet the criteria.

  The scoring rate calculated by the scoring rate calculating unit 25, the radar chart generated by the chart generating unit 26 and the comment for each area, the overall comment generated by the comment generating unit 27, etc. are the data of the results of analyzing the student's answers (hereinafter, “ Is transmitted to the teacher terminal 30 through the communication unit 21.

  In the above configuration, the communication unit 21 is an example of the input data acquisition unit and the transmission unit in the present invention, the answer status analysis unit 23 is an example of the answer status analysis unit in the present invention, and the comment generation unit 27 is in the present invention. It is an example of a comment acquisition means.

[Information display method]
Next, the information display method according to the present embodiment will be described. In the present embodiment, the teacher can receive the analysis result of each student's answer from the management server 20 and view it on the teacher terminal 30 by operating the teacher terminal 30. FIG. 6 shows a display example of the analysis result of the student's answer. This display example roughly includes a search area 40, an overall information area 50, and a personal information area 60. The search area 40 is an input unit for searching analysis results to be displayed, and includes input items such as “year”, “class (class)”, “subject”, “test”, and “implementation date”. The teacher performs a search by inputting necessary items into these input items. The analysis result obtained by the search is displayed in the overall information area 50 and the personal information area 60.

  The overall information area 50 is an area for displaying information related to the entire class, and includes an average class score 51, a class score distribution 52, and a class score list 53. The average score 51 of the class is an average value of the scores of students belonging to the class. The class score distribution 52 is a bar graph showing the result of classifying the score of students belonging to a class into 10 groups of 10 points. The class score list 53 is a list of score rates of students (children) belonging to the class.

  When the teacher selects a bar indicating a specific student from the student list displayed in the class score list 53, an analysis result regarding the student is displayed in the personal information area 60. In the example of FIG. 6, “Children 08” is selected in the class score list 53, and analysis result data regarding the children is displayed in the personal information area 60.

  The personal information area 60 includes test execution information 61, a score rate 62, an overall comment 63, a radar chart 64, and an area-specific comment 65. The test execution information 61 indicates information related to the test executed, and specifically includes “year number”, “name”, “subject”, “test”, “execution date”, and the like. The score rate 62 indicates the score rate of the display target student (in this example, “child 08”).

  In the “overall points” column, an overall comment 63 that is a comment on the test result of the display target student is displayed. The overall comment 63 is generated by the comment generation unit 27 described above with reference to the comment table illustrated in FIG. Specifically, when the answer status information corresponding to each evaluation item matches a determination criterion prepared in advance, a comment prepared corresponding to the determination criterion is displayed. In other words, the overall comment 63 is not a score of the student in the test but a comment generated as a result of analyzing the answer status of the student in the test, such as “answer time by question”, “correct / incorrect”, “description amount”.

  In the “balance by region” column, a radar chart 64 and a comment 65 by region are displayed. As described above, the radar chart 64 is generated based on the result obtained by the chart generation unit 26 totaling the difficulty points for each of a plurality of areas constituting the test. In the example of FIG. 6, in the arithmetic test, the difficulty point acquisition rate based on the student's answer for each of the five areas of “function”, “decimal”, “fraction”, “figure”, and “table / graph”. Is calculated and shown in a radar chart. In the radar chart, a pass line (for example, the difficulty point acquisition rate is 50%) is indicated by a bold pentagon for reference.

  The region-specific comments 65 are generated based on the acquisition rate of the region-specific difficulty points based on the radar chart 64. The chart generation unit 26 generates a comment for each area as necessary based on the calculated difficulty point acquisition rate. In the example of FIG. 6, the region-specific comments 65 are displayed for the region “integer” in which the difficulty point acquisition rate is less than 50%.

[Analysis result data generation processing]
Next, analysis result data generation processing according to the present embodiment will be described. The analysis result data generation process is a process in which the management server 20 generates analysis result data as shown in FIG. 6 based on the answer inputted by the student. FIG. 7 is a flowchart of the analysis result data generation process. This process is performed by the management server 20 based on the input data D1 acquired from the student-side input device 10. In practice, this processing is realized by a computer provided in the management server 20 executing a program prepared in advance.

  First, the management server 20 receives input data D1 from the input device 10 used by the student via the connection device 12 and the network 5 (step S1). Next, the management server 20 extracts the stroke input by the student from the input data D1 by the stroke extraction unit 22. Specifically, the stroke extracting unit 22 extracts “time”, “positional coordinates”, “number of strokes”, and the like when the student inputs the answer based on the input data D1. Next, the management server 20 calculates the score rate of the student's answer by the score rate calculation unit 25 (step S3).

  Next, the management server 20 performs a comment generation process (step S4). The comment generation process is shown in FIG. In the comment generation process, first, the answer situation analysis unit 23 analyzes the answer situation of the student based on the output of the stroke extraction unit 22, and “answer time (whole)”, answer time (by question) ”,“ correctness ” The answer status information is generated for each analysis item such as “description amount” (step S11). Next, the comment generation unit 27 refers to the comment table illustrated in FIG. 5 and acquires the prepared comment when the combination of the answer status information generated by the answer status analysis unit 23 corresponds to the determination criterion. To do. Then, an overall comment including one or a plurality of comments corresponding to the corresponding determination criterion is generated (step S12). Then, the process returns to the main routine of FIG.

  Next, the management server 20 performs chart generation processing (step S5). FIG. 9 is a flowchart of the chart generation process. In the chart generation process, the chart generation unit 26 totals the difficulty points for each test area based on the students' answers, and calculates the difficulty point acquisition rate (step S21). Next, the chart generation unit 26 creates a radar chart as illustrated in FIG. 6 based on the difficulty point acquisition rate (step S22). In addition, when the difficulty point acquisition rate for each area is less than a predetermined reference (for example, less than 50%), the chart generation unit 26 generates a corresponding comment for each area (step S23). In the example of FIG. 6, a comment for each region regarding the region “integer” is generated. Then, the process returns to the main routine of FIG.

  Next, the management server 20 identifies the student as the analysis result data using the scoring rate generated in step S3, the overall comment generated in step S4, and the radar chart and region-specific comments generated in step S5. The information is associated with the information and stored in the test result DB 28 (step S6). This ends the analysis result data generation process. The analysis result data generated in this way and stored in the test result DB 28 can be retrieved from the teacher terminal 30, displayed, and viewed as shown in FIG.

[Modification]
In the above embodiment, the management server 20 and the teacher terminal 30 are provided independently, but the function of the management server 20 may be included in the teacher terminal 30 instead. In this case, the teacher terminal 30 is an example of input data acquisition means, answer status analysis means, comment acquisition means reception means, and transmission means of the present invention.

5 Network 10 Input Device 11a Digital Pen 11b Tablet 11c Touch Pen 12 Connection Device 20 Management Server 30 Teacher Terminal 100 Remote Lesson System

Claims (5)

A learning support apparatus that communicates with an input device used by a user through a network,
A storage unit for storing comment data in which a determination criterion for answer status information indicating an answer status by a user and a comment corresponding to the determination criterion are associated;
Input data acquisition means for acquiring input data input by the input device;
Based on the acquired input data, answer status analysis means for generating the answer status information;
Referring to the comment data, and when the answer status information corresponds to the determination criterion, comment acquisition means for acquiring a comment corresponding to the determination criterion;
A learning support apparatus comprising: The determination criterion corresponds to a combination of a plurality of answer status information,
The learning support apparatus according to claim 1, wherein the comment acquisition unit acquires the comment when a combination of the plurality of answer status information corresponds to the determination criterion.   The learning support apparatus according to claim 1, wherein the answer status information includes at least one of an answer time for each question by the user, correctness, and a description amount.   The learning support apparatus according to claim 1, further comprising a transmission unit that transmits the comment acquired by the acquisition unit in response to a request from an external terminal device. A program comprising a computer and executed by a learning support apparatus that communicates with an input device used by a user through a network,
A storage unit for storing comment data in which a determination criterion for answer status information indicating an answer status by a user and a comment corresponding to the determination criterion are associated;
Input data acquisition means for acquiring input data input by the input device;
Based on the acquired input data, the answer situation analyzing means for generating the answer situation information,
Comment acquisition means for referring to the comment data and acquiring a comment corresponding to the determination criterion when the answer status information corresponds to the determination criterion;
A program for causing the computer to function as: