Analysing students’ college english test-band 4(CET-4) scores based on educational data mining

Abstract

There is a large amount of data accumulated in management systems in universities and information hidden in these large amounts of data is not fully tapped and applied. Using data mining techniques in education research can help in the extraction of many valuable patterns from the data. The purpose of this article is to analyze the linear relation between the students’ total score of College English Test-Band 4 (CET-4) and scores in each part of the test, using Support vector machin.e (SVM) to classify students' CET-4 performance in each part. The research collected data with questionnaires and analysis was carried out with the help of SPSS. The result showed that the main factors that affect the CET-4 results are previous experience of learning English, attitudes toward the test and time spent on learning English per day. Keywords: CET-4 score; Educational data mining; SVM classification; Influence factors