Research on Academic Warning Model of College Student Study based on Apriori Association Rule

A data mining model is designed to predict and predict students' academic performance. Under the condition of presetting certain support degree and credibility, the association rules between course performance with certain internal relations and different support degree and credibility are found, so as to predict students' academic performance. Based on the analysis of Apriori association rules, the academic warning model of students is established. In addition, 31 sample data were selected for verification and analysis. The results showed that the early-warning model could analyze the correlation between courses based on students' existing learning performance, accurately predict the learning situation of subsequent courses, timely send early warning signals, and urge students to improve their learning status in time. With high reliability, it provided scientific basis for educational strategy decision-making.