Online Behavior Analyses of Undergraduates from University B: From the Perspective of Big Data

Ke-sheng LIU, Meng-xing WANG, Yi-kun NI

Abstract


Internet has become almost universal among university students, which has greatly impacted their daily life and learning performance. In this paper, by studying the data regarding internet use and academic achievement during four years, online behavior of undergraduates from university B in terms of students’ type and online period was characterized. Then, a simplified principal component analysis method for interval data was employed to analyze the correlation between online behavior and academic record. Results indicated the dependence of students on the internet increases with grade growth. Moreover, excessive internet access may bring negative effects on learning performance.

Keywords


Online behavior, Higher education, Big data


DOI
10.12783/dtssehs/emse2018/27341

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