CN111507584A - Data analysis system and method - Google Patents
Data analysis system and method Download PDFInfo
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- CN111507584A CN111507584A CN202010231313.3A CN202010231313A CN111507584A CN 111507584 A CN111507584 A CN 111507584A CN 202010231313 A CN202010231313 A CN 202010231313A CN 111507584 A CN111507584 A CN 111507584A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a data analysis system and a method, wherein the data analysis system comprises: the examination question database is used for storing examination questions and knowledge points corresponding to the examination questions; the examination paper reading result storage module is used for storing all examination data of each student; the data acquisition module is used for acquiring all personal examination data of a single subject of a certain student in a certain time period from the examination paper marking result storage module; the data identification module is used for identifying knowledge points corresponding to all examination questions in the personal examination data from the examination question database according to the personal examination data acquired by the data acquisition module; and the data statistics module is used for counting the answer correct rate of the student to each knowledge point and generating a personal statistics report according to the statistical result. A data analysis system and method can provide analysis results of the system to guide examinees to make appropriate learning schemes, so that reinforcement learning is performed on knowledge points with weak mastering conditions, and learning efficiency is improved.
Description
Technical Field
The invention relates to a data analysis system and a data analysis method.
Background
The existing system for processing the examination scores of the examinees only corrects whether the answers of the examinees to the test paper are correct or not and obtains the result of the examination scores of the examinees, and then ranks the scores of the examinees according to the scores. The analysis processing mode of the system can only obtain the examination scores and score ranking of the examinees, and can not summarize the mastering condition of the examinees on the knowledge points according to the answering condition of the examinees, so that the analysis of the system can not be given to guide the examinees to make proper learning schemes.
Disclosure of Invention
The invention provides a data analysis system and a data analysis method, which adopt the following technical scheme:
a data analysis system, comprising:
the examination question database is used for storing examination questions and knowledge points corresponding to the examination questions;
the examination paper reading result storage module is used for storing all examination data of each student;
the data acquisition module is used for acquiring all personal examination data of a single subject of a certain student in a certain time period from the examination paper marking result storage module;
the data identification module is used for identifying knowledge points corresponding to all examination questions in the personal examination data from the examination question database according to the personal examination data acquired by the data acquisition module;
and the data statistics module is used for counting the answer correct rate of the student to each knowledge point and generating a personal statistics report according to the statistical result.
Furthermore, the data acquisition module is also used for acquiring the whole examination data of a single subject of all students in a certain time period from the examination result storage module;
the data identification module identifies knowledge points corresponding to all examination questions in the whole examination data from the examination question database according to the whole examination data acquired by the data acquisition module;
and the data statistics module is used for counting the answer correct rate of the whole student to each knowledge point and generating a whole statistics report according to the statistical result.
Further, the data analysis system further comprises:
the information storage module is used for storing communication information of students, teachers of each individual department of the students and parents of the students;
and the report sending module is used for sending the personal statistical report to the student, the teacher of the single subject of the student and the parents of the student according to the communication information stored by the information storage module.
Further, the report sending module sends the overall statistical report generated by statistics of the data statistical module to the teacher corresponding to the subject according to the communication information stored in the information storage module.
Furthermore, the examination question database also stores evaluation criteria corresponding to each knowledge point;
and the data statistics module generates an individual statistics report and an overall statistics report according to the statistics result and the evaluation standard.
A method of data analysis comprising the steps of:
storing examination questions and knowledge points corresponding to the examination questions;
storing all examination data of each student;
acquiring all personal examination data of a single subject of a certain student in a certain time period;
identifying knowledge points corresponding to all examination questions in the personal examination data according to the acquired personal examination data;
and counting the answer correct rate of the student for each knowledge point and generating a personal statistical report according to the statistical result.
Further, the data analysis method further comprises:
acquiring the integral examination data of a single subject of all students in a certain time period;
identifying knowledge points corresponding to all examination questions in the whole examination data according to the obtained whole examination data;
and counting the answer correct rate of the whole student for each knowledge point and generating a whole counting report according to the counting result.
Further, the data analysis method further comprises:
storing communication information of students, teachers of each individual department of the students and parents of the students;
and sending the personal statistics report to the student, the teacher of the single subject of the student and the parents of the student according to the communication information.
Further, the data analysis method further comprises:
and sending the overall statistical report generated by statistics to a teacher corresponding to the single subject according to the communication information.
Further, storing the evaluation standard corresponding to each knowledge point;
and generating an individual statistical report and an overall statistical report according to the statistical result and the evaluation standard.
The data analysis system and the data analysis method have the advantages that the data analysis system and the data analysis method can analyze and process examination data of students in a certain time period by combining examination questions and knowledge points corresponding to the examination questions to obtain a personal statistical report. The personal statistical report can clarify the mastering conditions of the examinees on the knowledge points in the time period, so that the analysis results of the system can be given to guide the examinees to make appropriate learning schemes, the knowledge points with weak mastering conditions are subjected to reinforcement learning, and the learning efficiency and the learning achievement are improved.
Drawings
FIG. 1 is a schematic diagram of a data analysis system of the present invention;
FIG. 2 is a schematic diagram of a data analysis method of the present invention.
The system comprises a data analysis system 10, an examination question database 11, an examination result storage module 12, a data acquisition module 13, a data identification module 14, a data statistics module 15, an information storage module 16 and a report sending module 17.
Detailed Description
The invention is described in detail below with reference to the figures and the embodiments.
As shown in fig. 1, a data analysis system 10 includes: the examination question database 11, the examination result storage module 12, the data acquisition module 13, the data identification module 14 and the data statistics module 15. Wherein:
the examination question database 11 is used for storing examination questions and knowledge points corresponding to the examination questions. The questions stored in the question database 11 may be questions for all students in the period of time of the small school, the junior high school, the high school or other academic systems to test the learning condition of the students. The knowledge points stored in the examination question database 11 include the knowledge points related to the corresponding teaching materials learned by the academic institute. Each question is associated with a knowledge point corresponding to the question. That is, after the examination questions of the test students in the examination paper of each examination are confirmed, the knowledge points to be examined in the examination paper of the examination are also confirmed.
The scoring result storage module 12 is used for storing all the test data of each student. The examination data comprises the time of each examination of each student, the specific test questions of the examination paper, the answers written by the students aiming at the specific test questions and the correction result information of the written answers. The above-mentioned correction result is the score of the answer made for each test question.
The data acquisition module 13 is used for acquiring all personal test data of a single subject of a certain student in a certain time period from the scoring result storage module 12.
The data identification module 14 is configured to identify, from the examination question database 11, knowledge points corresponding to all examination questions in the personal examination data according to the personal examination data acquired by the data acquisition module 13. That is, all the questions of the single subject in the personal examination data within a certain time period are identified, and the knowledge points associated with the questions are found according to all the questions.
The data statistics module 15 is used for counting the answer correct rate of the student for each knowledge point and generating a personal statistics report according to the statistical result. Specifically, the data statistics module 15 classifies all the questions according to the found knowledge points associated with the questions, for example, classifies all the questions related to the knowledge point a into one category, and classifies all the questions related to the knowledge point B into one category. And then calculating the scores obtained by the answers of the examinees to all the examination questions in the knowledge point A class and the total score of all the examination questions in the knowledge point A class, and carrying out a ratio on the two scores to obtain the answer correct rate of the student to all the examination questions in the knowledge point A class. In the above manner, the data statistics module 15 calculates the correct answer rate of the student for all knowledge points related to the subject and generates a personal statistics report. The personal statistics report includes all knowledge points involved in the examination of the individual of the student for a certain period of time and answer correct rates corresponding to all the knowledge points respectively.
Further, the examination question database 11 stores evaluation criteria corresponding to each knowledge point. The evaluation criterion is that a criterion is preset according to the difficulty degree of different knowledge points. For example, the difficulty of the knowledge point a in the learning system is high, so that the learning system is passed when the answer accuracy of the student reaches 50%, good when the answer accuracy reaches 65%, and excellent when the answer accuracy reaches 80%; the difficulty of the knowledge point B in the learning system is small, so that the learning system passes when the answer accuracy of students reaches 70%, is good when the answer accuracy reaches 85%, and is excellent when the answer accuracy reaches 98%. Students can adjust learning key points according to evaluation standard sections where answer correct rates corresponding to the knowledge points are located, namely weak knowledge points can be known clearly, and then the weak knowledge points are subjected to reinforcement learning. Specifically, the data statistics module 15 generates a personal statistics report according to the statistics result and the evaluation criteria, that is, the personal statistics report further includes learning opinions made according to the answer correctness of each knowledge point and the evaluation criteria, for example: the answer accuracy is below the section, and key learning is suggested; or the answer accuracy is in the excellent section, and proper review is recommended, and the like.
In a preferred embodiment, the data obtaining module 13 is further configured to obtain the overall examination data of a single subject of all students in a certain period of time from the scoring result storage module 12. The data identification module 14 identifies knowledge points corresponding to all the examination questions in the whole examination data from the examination question database 11 according to the whole examination data acquired by the data acquisition module 13. And the data statistics module 15 is used for counting the answer correct rate of the whole student for each knowledge point and generating a whole statistics report according to the statistical result and the evaluation standard. The overall statistical report comprises all knowledge points involved in the examination of the single subject of the overall student in a certain time period, answer correct rates respectively corresponding to all the knowledge points, and learning opinions made according to the answer correct rate of each knowledge point and evaluation criteria.
Specifically, the data statistics module 15 averages the answer correctness of the whole student with respect to each knowledge point of each individual subject to obtain a correct-rate average. The answer correct rate respectively corresponding to all knowledge points included in the overall statistical report is the correct rate average value of the whole student. In the overall statistics report, the learning opinions may be as follows: the average value of the accuracy is below the grid section, and key learning is suggested; or the average of the accuracy is in the excellent segment, and proper review is recommended, etc. The teacher can make a learning scheme suitable for the progress of the whole student according to the whole statistical report.
Still further, the data analysis system 10 further includes: an information storage module 16 and a report transmission module 17. The information storage module 16 is used for storing communication information of students, teachers of each individual department of the students and parents of the students. The report sending module 17 is configured to send the personal statistics report to the student, the teacher of the subject of the student, and the parents of the student according to the communication information stored by the information storage module 16. After receiving the personal statistical report, the parents and the students can make a learning plan suitable for the students according to the report content so as to improve the learning achievement of the students. After receiving the personal statistics report, the teacher can know the general situation of the student from the report content, so that the teacher can point out weaker knowledge points of the student in the learning process of the student.
Furthermore, the report sending module 17 also sends the overall statistical report statistically generated by the data statistical module 15 to the teacher corresponding to the subject according to the communication information stored by the information storage module 16. The teacher that this single subject corresponds can make the teaching plan that is fit for whole student according to this whole statistical report, all has the knowledge point of weak condition to most students to carry out key teaching promptly.
Through the system, the examination data of the students in a certain time period can be analyzed and processed by combining the examination questions and the knowledge points corresponding to the examination questions to obtain the personal statistical report. The personal statistical report can clarify the mastering conditions of the examinees on the knowledge points in the time period, so that the analysis results of the system can be given to guide the examinees to make appropriate learning schemes, the knowledge points with weak mastering conditions are subjected to reinforcement learning, and the learning efficiency and the learning achievement are improved. Meanwhile, teachers corresponding to the single departments can make teaching plans suitable for the whole students according to the whole statistical reports, and therefore the whole learning scores of the whole students are improved.
As shown in fig. 2, the present invention further provides a data analysis method applied to the above system, comprising the following steps: step 1: storing examination questions and knowledge points corresponding to the examination questions; step 2: storing all examination data of each student; and step 3: acquiring all personal examination data of a single subject of a certain student in a certain time period; and 4, step 4: identifying knowledge points corresponding to all examination questions in the personal examination data according to the acquired personal examination data; and 5: and counting the answer correct rate of the student for each knowledge point and generating a personal statistical report according to the statistical result.
Aiming at the step 1: the examination questions and the knowledge points corresponding to the examination questions are stored in the examination question database 11.
Aiming at the step 2: all the test data of each student are stored by the examination result storage module 12.
Aiming at the step 3: all the personal examination data of a student in a single subject in a certain time period are obtained from the marking result storage module 12 through the data obtaining module 13
Aiming at the step 4: the data identification module 14 identifies knowledge points corresponding to all the questions in the personal examination data from the question database 11 according to the personal examination data acquired by the data acquisition module 13.
Aiming at the step 5: and counting the answer correct rate of the student for each knowledge point through a data counting module 15 and generating a personal counting report according to the counting result.
On the basis of step 5, the data analysis method further comprises the following steps: the data acquisition module 13 acquires the overall examination data of a single subject of all students in a certain time period from the examination result storage module 12. The data identification module 14 identifies knowledge points corresponding to all the examination questions in the whole examination data according to the whole examination data acquired by the data acquisition module 13. And counting the answer correct rate of the whole student for each knowledge point through a data counting module 15 and generating a whole counting report according to the counting result.
Further, the data analysis method further comprises: the communication information of the student, the teacher of each individual of the student, and the parent of the student is stored by the information storage module 16. The personal statistics report is transmitted to the student, the teacher of the individual of the student and the parents of the student through the report transmission module 17 according to the communication information stored according to the information storage module 16.
Still further, the data analysis method further comprises: and the report sending module 17 is used for sending the overall statistical report generated by statistics of the data statistical module 15 to the teacher corresponding to the subject according to the communication information stored in the information storage module 16.
In the above method, the evaluation criterion corresponding to each knowledge point is stored in the question database 11. And generating a whole statistical report and a whole statistical report according to the statistical result and the evaluation standard by the data statistical module 15.
By the method, examination data of students in a certain time period can be analyzed and processed by combining examination questions and knowledge points corresponding to the examination questions to obtain a personal statistical report. The personal statistical report can clarify the mastering conditions of the examinees on the knowledge points in the time period, so that the analysis results of the system can be given to guide the examinees to make appropriate learning schemes, the knowledge points with weak mastering conditions are subjected to reinforcement learning, and the learning efficiency and the learning achievement are improved. Meanwhile, teachers corresponding to the single departments can make teaching plans suitable for the whole students according to the whole statistical reports, and therefore the whole learning scores of the whole students are improved.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It should be understood by those skilled in the art that the above embodiments do not limit the present invention in any way, and all technical solutions obtained by using equivalent alternatives or equivalent variations fall within the scope of the present invention.
Claims (10)
1. A data analysis system, comprising:
the examination question database is used for storing examination questions and knowledge points corresponding to the examination questions;
the examination paper reading result storage module is used for storing all examination data of each student;
the data acquisition module is used for acquiring all personal examination data of a single subject of a certain student in a certain time period from the marking result storage module;
the data identification module is used for identifying the knowledge points corresponding to all examination questions in the personal examination data from the examination question database according to the personal examination data acquired by the data acquisition module;
and the data statistics module is used for counting the answer correct rate of the student to each knowledge point and generating a personal statistics report according to the statistical result.
2. The data analysis system of claim 1,
the data acquisition module is also used for acquiring the whole examination data of a single subject of all students in a certain time period from the marking result storage module;
the data identification module identifies the knowledge points corresponding to all examination questions in the whole examination data from the examination question database according to the whole examination data acquired by the data acquisition module;
and the data statistics module is used for counting the answer correct rate of the whole student to each knowledge point and generating a whole statistics report according to the statistical result.
3. The data analysis system of claim 2,
the data analysis system further comprises:
the information storage module is used for storing communication information of students, teachers of each individual department of the students and parents of the students;
and the report sending module is used for sending the personal statistics report to the student, the teacher of the single department of the student and the parents of the student according to the communication information stored by the information storage module.
4. The data analysis system of claim 3,
the report sending module is also used for sending the whole statistical report generated by statistics of the data statistical module to a teacher corresponding to the single subject according to the communication information stored in the information storage module.
5. The data analysis system of claim 2,
the examination question database also stores evaluation criteria corresponding to each knowledge point;
and the data statistics module generates the personal statistics report and the overall statistics report according to the statistics result and the evaluation standard.
6. A method of data analysis, comprising the steps of:
storing examination questions and knowledge points corresponding to the examination questions;
storing all examination data of each student;
acquiring all personal examination data of a single subject of a certain student in a certain time period;
identifying the knowledge points corresponding to all examination questions in the personal examination data according to the acquired personal examination data;
and counting the answer correct rate of the student for each knowledge point and generating a personal statistical report according to the statistical result.
7. The data analysis method of claim 6,
the data analysis method further comprises:
acquiring the integral examination data of a single subject of all students in a certain time period;
identifying the knowledge points corresponding to all examination questions in the whole examination data according to the obtained whole examination data;
and counting the answer correct rate of the whole student for each knowledge point and generating a whole counting report according to a counting result.
8. The data analysis method of claim 7,
the data analysis method further comprises:
storing communication information of students, teachers of each individual department of the students and parents of the students;
and sending the personal statistics report to the student, the teacher of the single department of the student and the parents of the student according to the communication information.
9. The data analysis method of claim 8,
the data analysis method further comprises:
and sending the overall statistical report generated by statistics to a teacher corresponding to the single subject according to the communication information.
10. The data analysis method of claim 7,
storing the evaluation standard corresponding to each knowledge point;
and generating the individual statistical report and the overall statistical report according to the statistical result and the evaluation standard.
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| CN202010231313.3A CN111507584A (en) | 2020-03-27 | 2020-03-27 | Data analysis system and method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111914005A (en) * | 2020-08-21 | 2020-11-10 | 广州云蝶科技有限公司 | Test question statistical analysis method |
| CN112100270A (en) * | 2020-08-12 | 2020-12-18 | 北京国电通网络技术有限公司 | Information-based examination data mining and analyzing method and device, electronic equipment and medium |
| CN114023132A (en) * | 2021-11-03 | 2022-02-08 | 中国人民解放军火箭军工程大学 | Maintenance training system and method based on digital twins |
-
2020
- 2020-03-27 CN CN202010231313.3A patent/CN111507584A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112100270A (en) * | 2020-08-12 | 2020-12-18 | 北京国电通网络技术有限公司 | Information-based examination data mining and analyzing method and device, electronic equipment and medium |
| CN111914005A (en) * | 2020-08-21 | 2020-11-10 | 广州云蝶科技有限公司 | Test question statistical analysis method |
| CN114023132A (en) * | 2021-11-03 | 2022-02-08 | 中国人民解放军火箭军工程大学 | Maintenance training system and method based on digital twins |
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Application publication date: 20200807 |