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How Surfing Habits Affect Academic Performance: An Experimental Study

  • Xing XuEmail author
  • Jianzhong Wang
  • Haoran Wang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9998)

Abstract

The issues regarding relationships between surfing habits and academic performance of university students have attracted much attention of all kinds of research communities. The approaches of statistical analysis and data mining with imperfect datasets are used in previous works. In this paper, an experimental study about the relationships between surfing habits and academic performance is conducted. Particularly, we observe a surprising results on extensive datasets, which contains the information of students, e.g. basic profiles, Internet using logs and course scores. First, several statistical methods are used to find the associations between students’ surfing habits and academic performance. Then, a learning algorithm is devised to cluster the students according to their different surfing habits. Furthermore, we develop a BP neural network to predict the rate of failing a test of a student based on his/her basic information, surfing habits and the clustering information. According to the aforementioned approaches, we find an interesting result that the academic performance of students in universities is quite possibly enhanced if the network connections are always terminated at 24:00 p.m.

Keywords

Internet surfing habits Course score Exam-failure rate Cluster analysis Neural network analysis 

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.School of Humanities and Social SciencesBeihang UniversityBeijingChina
  2. 2.Network Information CenterBeihang UniversityBeijingChina
  3. 3.School of SoftwareBeihang UniversityBeijingChina

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