Method and system for analyzing and quantitatively scoring wrong question
A technology of wrong questions and scoring values, applied in the field of online teaching, can solve problems such as inefficiency, untargeted wrong questions, and ineffective rapid improvement of students' academic performance and learning efficiency, so as to improve academic performance and learning efficiency Effect
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Embodiment 1
[0038] For an embodiment of the present invention's method for analyzing and quantifying scoring of wrong questions, see figure 1 , figure 1 It is a flow chart of the method for analyzing and quantifying the wrong questions of the present invention. The method for analyzing and quantifying the wrong questions includes:
[0039] Step 101, collect the data of each examination that all students participate in, including: examination time, examination questions, examination papers and examination results, and the examination papers include: examination paper name, examination questions full marks and knowledge points included in examination questions;
[0040] Step 102, according to collecting the data of each examination that the student participates in, the scoring value of the wrong question is obtained;
[0041] The wrong title scoring value a in step 102 is obtained by step 103:
[0042] Step 103, said wrong question scoring value a is obtained by the following method:
[...
Embodiment 2
[0056] An embodiment of the system for analyzing and quantifying the wrong questions in this application, please refer to figure 2 , figure 2 It is a module block diagram of the system for analyzing and quantifying the wrong questions of the present invention. The system for analyzing and quantifying the wrong questions includes: an acquisition module 1, a data processing module 2, a wrong question scoring module 3 and a test question recommendation module 4;
[0057] The collection module 1 is coupled with the data processing module 2, and is used to collect the data of each examination that all students participate in, and send it to the data processing module 2;
[0058] Collect the data of each test that all students participate in, including: test time, test questions, test papers and test results. The test papers include: test paper name, full score of test questions and knowledge points included in test questions;
[0059] The data processing module 2 is coupled with...
Embodiment 3
[0072] This embodiment is another embodiment of the method for analyzing and quantifying the wrong questions;
[0073] Step 301, collecting student test data:
[0074] Collect the test data that students participate in, including test time, test questions, test papers, student test scores, etc.
[0075] Step 302, extracting student examination data, examination question data and examination paper data;
[0076] Examination paper data extraction: the examination paper ID of the examination, the number of examination papers, and the name of the examination paper
[0077] Exam question data extraction: the ID of the test question contained in the test paper, the full score value of the test question, the degree of differentiation of the test question, and the scoring rate of the test question. The degree of differentiation c of the test question is obtained by the following method:
[0078] c=(v1-v2) / b,
[0079] Wherein, v1 is the average score of the test scores in the top 27...
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