Research on Academic Performance Prediction Based on Data Mining
The use of a large number of educational data for analysis is a hot trend in the field of education research,but the key information extracted from the massive data for analysis,the analysis results are often unsatisfactory.This paper mainly uses Pycharm to visualization and data mining analysis of student data,conducts correlation analysis from four dimensions of students'basic situation,learning difficulty,student time allocation and academic achievement,determines the indicators of the achievement prediction model,constructs the achievement prediction model using BP neural network algorithm,and conducts experiments and simulation through Matlab.The prediction model is evaluated by MSE.The experimental results show that the prediction ability and stability of the model are good,and it has certain utility.
data miningperformance predictionBP neural network
NETL
NSTL
万方数据
维普
