Identifying students' behaviors related to internet usage patterns

Abstract— Our purpose in this investigation is to explore an analogy in students’ internet usages patterns and their academic performance and personal behavior and identify factors for usage patterns on internet in terms of average time spent per a day, percentage of users visited academic-websites along with their time spent in these websites, and compare with the results of users percentage of non-academic websites usage and their time spent in these category of websites. Our survey declared more details about, which type of each category of websites, are more favorable for students and majority or minority of visited websites belongs to which categories of our categorized websites, and what is the relation between this usage pattern and students academic results? Furthermore we explored behavior based on each student’s undertaken program and also semester. Our paper attempt to briefly explain all analogies of students’ usage pattern related to academic issues and make a survey as a guidance for future, for planning new techniques to establishing automatically peer-to-peer connections based on educators similar behaviors , furthermore any other new methods for designing more effectible e-learning websites for academic purposes.

Keywords -behavior mining, usage pattern, academic performance access log file, website classification.