Method for predicting learning achievements by correcting scores of simple answer

Abstract

The invention discloses a method for predicting learning achievements by correcting scores of simple answers. According to the method, an answering set is determined according to a score list, a firstprofile in a first question bank is called, a second profile in a second question bank is called, and a test question adjustment coefficient of each test question and a correction score of each question and answer identifier are determined; and finally, a learning achievement of each knowledge point code is determined according to the question and answer score and the correction score. Accordingto the invention, the mastery degree of the answerer for each question and answer knowledge point is determined through the corrected test paper score, so that the learning result can be predicted more accurately. Learning achievements of a unified class or a plurality of students in the same major are summarized, and teaching quality can be evaluated.

Description

technical field [0001] The invention relates to a method for predicting learning outcomes by correcting scores of short-answer questions, which belongs to the processing and prediction technology of subject achievement data. Background technique [0002] CN110929020A discloses a knowledge point mastery analysis method based on test scores. This method systematically disperses different knowledge points into different test questions, and combines the students' right and wrong test questions to form a knowledge point master database for each student. In the specific test, the test content is generated into a question number and a knowledge point number is generated for each knowledge point, and the knowledge point mastery level is analyzed for each student's test question test results. The calculation formula for knowledge point mastery in this case takes into account the degree of difficulty of knowledge points and the ability of students, but does not take into account the ...

AI Technical Summary

Problems solved by technology

CN104809677A discloses an automatic marking method based on statistics and analysis of knowledge point mastery, the method mainly involves the step of marking papers, and does not disclose how to analyze knowledge point mastery

[0004] In addition, compared with fill-in-the-blank questions and multiple-choice questions, the question structure of short-answer questions is more complex

Documents such as CN101587513A and CN110175585A only disclose the marking method of short-answer questions, and few inventors have proposed analysis and prediction models for short-answer questions

[0005] Therefore, the prior art lacks a method that can correct the question and answer scores of the short answer questions to determine the learning outcomes

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