Method and device for obtaining comprehensive simulation results

Abstract

The embodiment of the invention provides a method and device for obtaining mock examination comprehensive scores, and relates to the field of teaching data processing. The method includes the steps that firstly, input difficulty evaluation grades of multiple subjects and test scores of multiple students in each subject are acquired; then, the difficulty evaluation grade of each subject is quantified according to the analytic hierarchy process to obtain a difficulty grade quantized value of the subject; then, the difficulty grade quantized value of each subject is synthesized into a difficulty parameter of the subject according to the principal component analysis algorithm; finally, weighted summation is conducted on the test scores of each student according to the difficulty parameters of the subjects, and the mock examination comprehensive score of each student is output. By means of the method and device for obtaining the mock examination comprehensive scores, the proportion of scores of subjects with high learning difficulty in the total score can be increased, and thus the finally obtained mock examination comprehensive scores of the students are more impartial and more reasonable.

Description

technical field [0001] The present invention relates to the field of teaching data processing, in particular to a method and device for obtaining simulation comprehensive results. Background technique [0002] With the development of science and technology, especially the rapid development of computer technology, the traditional teaching mode has been impacted, and new changes have appeared in many aspects such as the purpose, content, focus and teaching methods of education. [0003] At this stage, students’ test scores often copy foreign experience, transform the percentile system into a five-point system, use course credits to calculate weights, and use weighted summation or direct calculation of the average value. Although this method reflects the learning effect of students to a certain extent, the rationality of this method is not based on scientific demonstration and ignores the difficulty of different subjects. [0004] Therefore, how to improve the fairness and rat...

AI Technical Summary

Problems solved by technology

Although this method reflects the learning effect of students to a certain extent, the rationality of this method is not based on scientific demonstration and ignores the difficulty of different subjects.

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