This paper conducts research on academic situation analysis and academic early warning for three grades of electronic information engineering major in college of electronic engineering of South China Agricultural University.It uses MATLAB R2021a and SPSS softwares,and uses three different modeling methods,including comprehensive appraisal,multiple linear stepwise regression,and Decision Tree,to predict whether a subject passes.For a group of student data,three models are used to predict the results of the digital electronic technology course,compare the pre-output rate and pre-error rate,and establish the failed hierarchical model to quantize prediction results through model integration.According to the prediction results,this paper makes reasonable intervention,so as to achieve the purpose of preventing students from failing.
academic situation analysisacademic early warningcomprehensive appraisalstepwise regressionDecision Tree
维普
万方数据
