Author(s)

Yan Cheng, Quanyuan Weng

Corresponding Author

Yan Cheng

ABSTRACT

With the rapid development of network technology and computer technology, digital campus construction is more and more popular, education workers use information technology to solve the common problems efficiently in the daily teaching, such as the average score, ranking, excellent rate, pass rate. These simple statistical analysis can no longer meet the needs of today's teaching platform, not reflect the relationship between daily performance and final score and not predict students' score, resulting in a large number of data wasted in education management system. Traditional education data mining method is to use decision tree to analyze student's score, so as to find out the factors that influence student's score and the relationship among factors, but the result of prediction is often unsatisfactory. Based on the past achievements and daily behavior data of students, BP neural network algorithm is used to predict the final grades of students. The experiment shows that the accuracy is very high.

KEYWORDS

BP neural network, Educational data mining, Score prediction