Volume 4 Number 4 (Aug. 2014)
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IJEEEE 2014 Vol.4(4): 302-309 ISSN: 2010-3654
DOI: 10.7763/IJEEEE.2014.V4.345

Application of e-Learning to Computer Science Teaching at Secondary Level

Maria Ijaz Baig, Sameen Reza
Abstract— Students have individual learning styles which cannot be catered to unless teachers also adapt different strategies to impart knowledge. To this end, delivery and assessment methods, which should be based on technology, are envisaged to be more effective. The aim of this study is to examine the effect of e-learning environment on the students’ performance in the course of Computer Science applied at secondary level schools of Pakistan. The proposed study is conducted in local private school of Punjab. For this purpose, significant topics in the computer science course of 10th class are converted to an electronic format. This study is a quantitative study that applies Quasi Experiment, which has two groups (Control group and Treatment group), Pre-test and Post-test design model of testing. The cross-sectional time-horizon is most suitable for this study due to time constraint factor. Important results of this study are that students in e-learning group are considerably better in problem solving area and gained better practical knowledge of computer science as well. This study shows that e-learning has bright prospects in Pakistan. It can help the multifarious issues of secondary level education in Pakistan if it is applied in an appropriate manner.

Index Terms— E-learning, learning effectiveness, secondary level, computer science course.

The authors are with Virtual University of Pakistan, Pakistan. email: Mariaijazbaig@hotmail.com

Cite: Maria Ijaz Baig, Sameen Reza, " Application of e-Learning to Computer Science Teaching at Secondary Level," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 4, no. 4, pp. 302-309, 2014.

General Information

ISSN: 2010-3654 (Online)
Frequency: Quarterly (Since 2015)
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Ms. Nancy Lau
Abstracting/ Indexing: EBSCO, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, EI (INSPEC, IET)
E-mail: ijeeee@iap.org
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