A method and system for predicting students' academic performance based on naive Bayesian model

Abstract

The invention discloses a method and system for predicting students' academic performance based on a naive Bayesian model. By acquiring students' learning data and transmitting the acquired data to a database of a first server; Data, convert the data, and obtain a standardized student learning status data table; for the standardized student learning status data table, calculate the conditional probability of each attribute in different categories and the prior probability of different categories through the computing unit in the server; The student data is converted and input to the trained Naive Bayes model for student data classification prediction. The naive Bayesian model adopted by the present invention is used to realize accurate prediction of students' academic performance and has high reliability.

Description

technical field [0001] The invention relates to the fields of educational technology and computer application subjects, in particular to a method and system for predicting students' academic performance based on a naive Bayesian model. Background technique [0002] At present, my country's higher education is developing rapidly, and the number of general institutions of higher learning has reached more than 2,500. In recent years, the continuous decline in the number of students has brought a huge survival crisis to ordinary colleges and universities. How to improve the quality of student training and the employment competitiveness of students has become a problem that many colleges and universities need to solve urgently. As an important core indicator of the quality of student training, students' academic performance has attracted much attention from university administrators. [0003] In my country's colleges and universities, the youth league committee counselor (head ...

AI Technical Summary

Problems solved by technology

The collection of student data is not complete, and it is difficult to conduct a comprehensive analysis and evaluation of students

[0006] 2. For the student achievement data, currently only the student achievement is entered into the teaching management system; the teaching management system stores all the historical data of the student achievement

The evaluation of students' existing abilities is only obtained through the analysis of historical data of students' grades. Without the use of corresponding data processing models, intelligent prediction of students' academic performance cannot be realized.

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