Abstract:

Most of the existing research on degree prediction in colleges and universities focuses on the construction of performance prediction models, ignoring the importance of degree early warning. Therefore, a degree early warning model based on support vector machine is proposed. A large number of experiments are carried out on the real data of 5 majors, including Broadcast and Television Directing Major, Chinese Language and Literature Major, Chemistry Major, Accounting Major and Mathematics and Applied Mathematics Major, in a university of 2018. The experimental results show that the constructed early warning model has good accuracy and practicality,which can become an important part of improving the teaching quality, and provide practical reference support for teachers to improve the teaching plan and for students to change their learning habits.

Key words: education data mining, degree early warning, performance prediction, support vector machines (SVM)