Data report processing method and system

By designing data report processing methods and systems on the intelligent education platform, accurate assessment and analysis of students' subject testing abilities are realized, information sharing and ability matching among students is promoted, and the problem of overly rough evaluation in the existing technology is solved. , improves learning effect and ability development.

CN119167907AInactive Publication Date: 2024-12-20JIANGSU ZECHAO INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202411376093.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-30
Publication Date
2024-12-20
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing intelligent education platform is too rough when evaluating the subject abilities among students and cannot accurately identify the students' ability examination points, which leads to the inability to effectively promote the improvement and learn from the strengths and weaknesses between students who are good at the same ability examination points.

Method used

A data report processing method and system was designed, including a data collection module, a report processing module and an online interaction module. By classifying and testing the ability examination points of each question in the subject test, analyzing students' areas of expertise and realizing students' Information sharing, matching analysis and interest group establishment between them.

Benefits of technology

It realizes accurate assessment and analysis of students' personality characteristics, provides common opportunities for improvement in ability testing points, and promotes students with great abilities to learn from their strengths and weaknesses and broadens their horizons, and improves learning results.

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Abstract

The invention discloses a data report processing method and system, and relates to the technical field of online education, a data collection module, a report processing module and an online interaction module, and the report processing module is electrically connected with the online interaction module; the data collection module is used for classifying ability investigation points of each question investigation in a subject test and detecting the mastering degree of students on each ability investigation point in the subject test, and the report processing module is used for analyzing the skilled field direction of the students according to the input ability investigation points. The system comprises an on-line interaction module, a data collection module and a report processing module, the on-line interaction module is used for providing information sharing among students so as to make the best of the students and make the students refine together, the data collection module comprises a student registration module, a score statistics module and a question feature labeling module, and the report processing module comprises an ability investigation point input module. The method has the advantage of being accurate in evaluation.
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Description

Technical Field

[0001] The present invention relates to the field of online education technology, and in particular to a data report processing method and system. Background Art

[0002] The intelligent education platform is a platform that uses advanced technology and innovative teaching methods to allow students to communicate and learn from each other. It can not only help students better understand and master knowledge, but also promote interaction and cooperation among students, and improve learning effects and interests.

[0003] The existing intelligent education platform only evaluates the value of data based on the subjects they are good at when students use the platform to help each other communicate. However, students' abilities are unique in different subjects and different ability assessment points. For example, some students are good at spatial imagination but not good at algebra. If they are divided from the perspective of mathematics, it will be very rough and cannot make students who are good at the same ability assessment point improve together and learn from each other. Therefore, it is necessary to design a data value data report processing system with accurate evaluation. Summary of the invention

[0004] The purpose of the present invention is to provide a data report processing method and system to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a data report processing method and system, comprising a data collection module, a report processing module and an online interaction module, wherein the report processing module is electrically connected to the online interaction module;

[0006] The data collection module is used to classify the ability assessment points tested in each question in the subject test, and to detect the students' mastery of each ability assessment point in the subject test. The report processing module is used to analyze the students' areas of expertise based on the entered ability assessment points, and to update its own ability assessment point database. The online interaction module is used to realize information sharing between students.

[0007] According to the above technical solution, the data collection module includes a student registration module, a score statistics module, and a question feature annotation module; the report processing module includes an ability assessment point entry module, an ability assessment point level calculation module, a student portrait module, and a data update module; the online interaction module includes a data receiving module, a matching degree analysis module, and a shared link module; the ability assessment point entry module is electrically connected to the ability assessment point level calculation module and the data receiving module; the ability assessment point level calculation module is electrically connected to the student portrait module and the data update module; the data receiving module is electrically connected to the matching degree analysis module; and the matching degree analysis module is electrically connected to the shared link module;

[0008] The student registration module is used to register student information so that the student's score can be matched with his or her own ability assessment points during the test. The score statistics module is used to record the student's scores for each question and test item in the tests of each subject. The question feature annotation module is used for teachers to annotate the ability assessment points of each question when setting questions. The ability assessment point entry module is used to name and enter each ability assessment point. The ability assessment point level calculation module is used to calculate the comprehensive level of each ability assessment point of the student in the test. The student portrait module is used to display the portrait of the student's ability assessment point of expertise so that the teacher can quickly grasp the student's expertise. The data update module is used to update the database according to the newly obtained ability assessment point level. The data receiving module is used to upload the data entered by the student to the data report processing system. The matching degree analysis module is used to match the matching degree with other students according to the ability assessment points entered by the student. The shared link module is used to realize information sharing between students.

[0009] According to the above technical solution, the working process of the data collection module is as follows:

[0010] S0. Use the ability assessment point input module to input the students' various ability assessment points. When setting questions, teachers mark the ability assessment points that the test questions and items will assess. One test question and item will correspond to multiple ability assessment points.

[0011] S1. After students log in to the data report processing system in the student registration module, the data update module and the score statistics module will be started. When students take the test, the test scores of the students will be counted, accurate to the scores of each question and project. If it is an offline test, the teacher needs to manually enter the scores when collating the scores;

[0012] The details are as follows: First, count the scores of each student on a certain question in a certain test. Among them, t is the actual score, t0 is the total score of this question, this question corresponds to multiple ability assessment points, and the score data of this student's ability assessment point tested by this question is entered. If this question does not test a certain ability assessment point, it will not be entered.

[0013] According to the above technical solution, the work of the report processing module is divided into the following steps:

[0014] S2. Students choose to log in to their own account in the selection interface;

[0015] S3. If a student has a score in a test that examines a certain ability point, the entered ability point, {a i} is the score set of the ability assessment points entered by student a in a test. When student a evaluates the ability assessment points, a1 to a i The score of , where i is the number of the ability assessment point, is updated according to the updated ability assessment point level;

[0016] S4. Calculate the average score of this student at this ability assessment point Δa i , and calculate the average score A of all students at a certain ability assessment point i ;

[0017] S5. The system calculates the student's ability level at each ability assessment point based on the ability assessment points entered by the student. i , if the ability level of a certain ability assessment point is

[0018] S6. The calculated levels of students’ competency assessment points are displayed to teachers from high to low. Teachers can then profile students’ areas of expertise based on their levels at each competency assessment point.

[0019] According to the above technical solution, in S4, the average value A of the scores of all students at a certain ability assessment point i The calculation method is:

[0020]

[0021] Where Q is the number of students who have taken the test covering a certain ability assessment point, and j is the student number; the value of Q will increase by 1 for each new student, and A i The value of will also be updated, realizing the update of the database, and obtaining the Δa of a certain student i All the above average values ​​A i The total number of items. By default, the ability assessment points that do not exceed the average value are not the student's strong ability assessment points, while those that exceed the average value are the student's strong ability assessment points.

[0022] According to the above technical solution, the working process of the online interaction module specifically includes the following steps:

[0023] S7, the system uploads the ability assessment point scores entered by the students into the online interactive module;

[0024] S8. Perform matching analysis based on the competency assessment points entered by the student and the competency assessment points entered by other students in the online interactive module;

[0025] S9. The system uploads students’ learning experience information and contact information for information sharing;

[0026] S10, for a certain ability assessment point, the ability level H at the ability assessment pointi Significantly higher than the average i Establish interest groups for students.

[0027] According to the above technical solution, in S8, the method for calculating the matching degree is:

[0028] When students begin to analyze the matching degree of ability assessment points, the matching degree increases in direct proportion to the number of ability assessment points that the students are good at. Specifically,

[0029]

[0030] Where K is the matching degree of the ability assessment points between the two students, p i is the proficiency of the ability test point corresponding to student a, q i is the proficiency of the ability test point corresponding to student b, N is the total number of all ability test points covered in all tests, and when student a is good at a certain ability test point, enter a i =1, otherwise, enter a i =0, and the same goes for student b.

[0031] According to the above technical solution, in S9, the information sharing rule is that if a student uploads x pieces of personal experience information summarized by deep thinking in the field of expertise, then the sharing rule of the student is related to the matching degree K of the ability assessment points between students, that is, sharing μ X The learning experience information is used for online communication, μ is a constant, and more offline in-depth learning communication opportunities are provided for two students with a high matching degree K. If a student wants to broaden his horizons and communicate with different people, this student will be provided with students with a low matching degree K for communication.

[0032] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention first sets the ability examination points for each test question to examine the students during the subject test, and then processes and evaluates the ability examination points that the students are good at through a large amount of actual measured data of the students in school, analyzes the overall personality characteristics of the students, and provides students who are good at similar ability examination points with an opportunity to improve together in terms of student interaction, and also provides students with great differences in their areas of expertise with an opportunity to learn from each other's strengths and broaden their horizons. Compared with simply relying on subjects to analyze students, this evaluation method pays more attention to the discovery and cultivation of students' meta-abilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0034] Figure 1It is a schematic diagram of the overall module structure of the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] See also Figure 1 , the present invention provides a technical solution: a data report processing method and system, including a data collection module, a report processing module and an online interaction module, the report processing module is electrically connected to the online interaction module;

[0037] The data collection module is used to classify the ability test points of each question in the subject test and detect the students' mastery of each ability test point in the subject test. The report processing module is used to analyze the students' areas of expertise based on the entered ability test points and update its own ability test point database. The online interaction module is used to realize information sharing between students.

[0038] The data collection module includes a student registration module, a score statistics module, and a question feature annotation module. The report processing module includes an ability assessment point entry module, an ability assessment point level calculation module, a student portrait module, and a data update module. The online interaction module includes a data receiving module, a matching degree analysis module, and a shared link module. The ability assessment point entry module is electrically connected to the ability assessment point level calculation module and the data receiving module. The ability assessment point level calculation module is electrically connected to the student portrait module and the data update module. The data receiving module is electrically connected to the matching degree analysis module, and the matching degree analysis module is electrically connected to the shared link module.

[0039] The student registration module is used to register the student's information so that the student's score can be matched with his or her own ability assessment point during the test. The score statistics module is used to record the student's score for each question and test item in the test of each subject. The question feature annotation module is used for the teacher to annotate the ability assessment point of each question when setting questions. The ability assessment point entry module is used to name and enter each ability assessment point. The ability assessment point level calculation module is used to calculate the comprehensive level of each ability assessment point of the student in the test. The student portrait module is used to display the portrait of the ability assessment point that the student is good at, so that the teacher can quickly grasp the student's strengths. The data update module is used to update the database according to the newly obtained ability assessment point level. The data receiving module is used to upload the data entered by the student to the data report processing system. The matching degree analysis module is used to match the matching degree with other students according to the ability assessment point entered by the student. The sharing link module is used to realize information sharing between students.

[0040] The working process of the data collection module is as follows:

[0041] S0. Use the ability assessment point input module to input the students' various ability assessment points. When setting questions, teachers mark the ability assessment points that the test questions and items will assess. One test question and item will correspond to multiple ability assessment points.

[0042] S1. After students log in to the data report processing system in the student registration module, the data update module and the score statistics module will be started. When students take the test, the test scores of the students will be counted, accurate to the scores of each question and project. If it is an offline test, the teacher needs to manually enter the scores when collating the scores;

[0043] The details are as follows: First, count the scores of each student on a certain question in a certain test. Where t is the actual score, t0 is the total score of this question, this question corresponds to multiple ability test points, and the score data of this student's ability test point in a certain ability test point tested by this question is entered. If this question does not test a certain ability test point, it will not be entered;

[0044] The work of the report processing module is divided into the following steps:

[0045] S2. Students choose to log in to their own account in the selection interface;

[0046] S3. If a student has a score in a test that examines a certain ability point, the entered ability point, {a i} is the score set of the ability assessment points entered by student a in a test. When student a evaluates the ability assessment points, a1 to a iThe score of , where i is the number of the ability assessment point, is updated according to the updated ability assessment point level;

[0047] S4. Calculate the average score of this student at this ability assessment point Δa i , and calculate the average score A of all students at a certain ability assessment point i ;

[0048] S5. The system calculates the student's ability level at each ability assessment point based on the ability assessment points entered by the student. i , if the ability level of a certain ability assessment point is

[0049] S6. Display the calculated competency level of the students to the teacher from high to low, so that the teacher can draw a profile of the students' strengths according to their levels at each competency level.

[0050] In S4, the average score of all students at a certain ability assessment point is A i The calculation method is:

[0051]

[0052] Where Q is the number of students who have taken the test covering a certain ability assessment point, and h is the student number; the value of Q will increase by 1 for each new student, and A i The value of will also be updated, realizing the update of the database, and obtaining the Δa of a certain student i All the above average values ​​A i The total number of items. By default, the ability assessment points that do not exceed the average value are not the student's strong ability assessment points, while those that exceed the average value are the student's strong ability assessment points.

[0053] The working process of the online interaction module specifically includes the following steps:

[0054] S7, the system uploads the ability assessment point scores entered by the students into the online interactive module;

[0055] S8. Perform matching analysis based on the competency assessment points entered by the student and the competency assessment points entered by other students in the online interactive module;

[0056] S9. The system uploads students’ learning experience information and contact information for information sharing;

[0057] S10, for a certain ability assessment point, the ability level H at the ability assessment point i Significantly higher than the average i Establish interest groups for students;

[0058] In S8, the method for calculating the matching degree is:

[0059] When students begin to analyze the matching degree of ability assessment points, the matching degree increases in direct proportion to the number of ability assessment points that the students are good at. Specifically,

[0060]

[0061] Where K is the matching degree of the ability assessment points between the two students, p i is the proficiency of the ability test point corresponding to student a, q i is the proficiency of the ability test point corresponding to student b, N is the total number of all ability test points covered in all tests, and when student a is good at a certain ability test point, enter a i =1, otherwise, enter a i =0, the same for student b;

[0062] In S9, the information sharing rule is that if a student uploads x pieces of personal experience information summarized in his / her deep thinking in the field he / she is good at, then the sharing rule of this student is related to the matching degree K of the ability assessment points between students, that is, sharing μ X The learning experience information is used for online communication, μ is a constant, and more offline in-depth learning communication opportunities are provided for two students with a high matching degree K. If a student wants to broaden his horizons and communicate with different people, this student will be provided with students with a low matching degree K for communication.

[0063] The various abilities of students are assessed as follows: spatial imagination, logical reasoning, language expression, divergent thinking, calculation, sketching, sprinting, musicality and other similar abilities. The above are just examples. In fact, based on pedagogy and student growth psychology, students' abilities can be divided more finely, which is also convenient for selection and key training of teachers at the teaching level.

[0064] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0065] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A data report processing system, Features: It includes a data collection module, a report processing module and an online interaction module, wherein the report processing module is electrically connected to the online interaction module; The data collection module is used to classify the ability assessment points tested in each question in the subject test, and to detect the students' mastery of each ability assessment point in the subject test. The report processing module is used to analyze the students' areas of expertise based on the entered ability assessment points, and to update its own ability assessment point database. The online interaction module is used to realize information sharing between students.

2. A data report processing system according to claim 1, Features: The data collection module includes a student registration module, a score statistics module, and a question feature annotation module. The report processing module includes an ability assessment point entry module, an ability assessment point level calculation module, a student portrait module, and a data update module. The online interaction module includes a data receiving module, a matching degree analysis module, and a shared link module. The ability assessment point entry module is electrically connected to the ability assessment point level calculation module and the data receiving module. The ability assessment point level calculation module is electrically connected to the student portrait module and the data update module. The data receiving module is electrically connected to the matching degree analysis module, and the matching degree analysis module is electrically connected to the shared link module. The student registration module is used to register student information so that the student's score can be matched with his or her own ability assessment points during the test. The score statistics module is used to record the student's scores for each question and test item in the tests of each subject. The question feature annotation module is used for teachers to annotate the ability assessment points of each question when setting questions. The ability assessment point entry module is used to name and enter each ability assessment point. The ability assessment point level calculation module is used to calculate the comprehensive level of each ability assessment point of the student in the test. The student portrait module is used to display the portrait of the student's ability assessment point of expertise so that the teacher can quickly grasp the student's expertise. The data update module is used to update the database according to the newly obtained ability assessment point level. The data receiving module is used to upload the data entered by the student to the data report processing system. The matching degree analysis module is used to match the matching degree with other students according to the ability assessment points entered by the student. The shared link module is used to realize information sharing between students.

3. A data report processing system according to claim 2, Features: The working process of the data collection module is as follows: S0. Use the ability assessment point input module to input the students' various ability assessment points. When setting questions, teachers mark the ability assessment points that the test questions and items will assess. One test question and item will correspond to multiple ability assessment points. S1. After students log in to the data report processing system in the student registration module, the data update module and the score statistics module will be started. When students take the test, the test scores of the students will be counted, accurate to the scores of each question and project. If it is an offline test, the teacher needs to manually enter the scores when collating the scores; The details are as follows: First, count the scores of each student on a certain question in a certain test. Where t is the actual score, t 0 This is the total score of this question. This question corresponds to multiple ability assessment points. The score data of this student in a certain ability assessment point tested by this question is entered. If this question does not test a certain ability assessment point, it will not be entered.

4. A data report processing system according to claim 3, Features: The work of the report processing module is divided into the following steps: S2. Students choose to log in to their own account in the selection interface; S3. If a student has a score in a test that examines a certain ability point, the entered ability point, {a i } is the score set of the ability assessment points entered by student a in a test. When student a evaluates the ability assessment points, he enters a 1 to a i The score of , where i is the number of the ability assessment point, is updated according to the updated ability assessment point level; S4. Calculate the average score of this student at this ability assessment point Δa i , and calculate the average score A of all students at a certain ability assessment point i ; S5. The system calculates the student's ability level at each ability assessment point based on the ability assessment points entered by the student. i , if the ability level of a certain ability assessment point is S6. The calculated levels of students’ competency assessment points are displayed to teachers from high to low. Teachers can then profile students’ areas of expertise based on their levels at each competency assessment point.

5. A data report processing system according to claim 4, Features: In S4, the average score A of all students at a certain ability assessment point i The calculation method is: Where Q is the number of students who have taken the test covering a certain ability assessment point, and j is the student number. Every time a new student is entered, the value of Q will increase by 1, and the value of Ai will also be updated, thus updating the database and obtaining the Δa of a certain student. i All the above average values ​​A i The total number of items. By default, the ability assessment points that do not exceed the average value are not the student's strong ability assessment points, while those that exceed the average value are the student's strong ability assessment points.

6. A data report processing system according to claim 5, Features: The working process of the online interaction module specifically includes the following steps: S7, the system uploads the ability assessment point scores entered by the students into the online interactive module; S8. Perform matching analysis based on the competency assessment points entered by the student and the competency assessment points entered by other students in the online interactive module; S9. The system uploads students’ learning experience information and contact information for information sharing; S10, for a certain ability assessment point, the ability level H at the ability assessment point i Significantly higher than the average i Establish interest groups for students.

7. A data report processing system according to claim 6, Features: In S8, the method for calculating the matching degree is: When students begin to analyze the matching degree of ability assessment points, the matching degree increases in direct proportion to the number of ability assessment points that the students are good at. Specifically, Where K is the matching degree of the ability assessment points between the two students, p i is the proficiency of the ability test point corresponding to student a, q i is the proficiency of the ability test point corresponding to student b, N is the total number of all ability test points covered in all tests, and when student a is good at a certain ability test point, enter a i =1, otherwise, enter a i =0, and the same goes for student b.

8. A data report processing system according to claim 7, Features: In S9, the information sharing rule is that if a student uploads x pieces of personal experience information summarized in his / her deep thinking in the field he / she is good at, then the sharing rule of the student is related to the matching degree K of the ability assessment points between the students, that is, sharing μ x The learning experience information is used for online communication, μ is a constant, and more offline in-depth learning communication opportunities are provided for two students with a high matching degree K. If a student wants to broaden his horizons and communicate with different people, this student will be provided with students with a low matching degree K for communication.

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