Abstract

Internet and computing have been advocated as one shot solution to many existing constraints and difficulties of education system. Our work aims to study exhaustively differential impact of Web technology on various dimensions of students' academic performance, co-curricular, extra-curricular and non-academic activities. We analyzed the Internet usage behavior of students in terms of average time spent in Internet per day and category of visited Websites by them along with the effects of these Internet usage behaviors on their academic performance (CPI) and other co-curricular and extra-curricular activities. For this analysis we used proxy server access log files of an engineering college in India which are collected during 30 months continually. We have classified student activities (with extending ODP classification scheme) under four categories: Curricular, Co-Curricular, Extra-Curricular and Non-Curricular. Only 59% of female students used Internet continually as against 81% of male students. This analysis led us to conclude that a significant gender gap exists in terms of Internet usage.

Highlights

  • The growing use of computing and communication technology has both good and bad effects

  • We identified different ranges of average time spent based on discontinuity of the curve

  • Higher average time spent on Internet did result into non-participation in other activities which are very essential for the growth of these students

Read more

Summary

Introduction

The growing use of computing and communication technology has both good and bad effects. High frequency and larger duration of Internet use which interfere with daily life have been linked to a range of problems, including decreased psychosocial well-being and relationship breakdown [7,8,9] All of these studies lead one to hypothesize that a controlled use of technology with a purpose can result into increased productivity and better quality of life. Most of the research studies have been focused to understand the behaviour of the users based on the usage patterns of their products and services with aim to in-crease either the customer base or profit or both These studies did not focus on impacts of their goods services for their effect on individuals’ productivity, health and social behaviours. The results of analysis are presented in Section 6th section 7th includes the conclusion of this research

Website Classification
Internet Usage Pattern Discovery
Our Proposed Website Classification
Data Collection and Pre-Processing
Internet Usage: “Regularity”
Internet Usage: “Duration”
Outliers
A Day Before Examination
Results and Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call