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E-Learning Perception and its Relationship with Demographic Variables: A Factor Analysis Approach

E-Learning Perception and its Relationship with Demographic Variables: A Factor Analysis Approach

Deepak Chawla, Himanshu Joshi
Copyright: © 2012 |Volume: 8 |Issue: 4 |Pages: 14
ISSN: 1550-1876|EISSN: 1550-1337|EISBN13: 9781466612563|DOI: 10.4018/jicte.2012100109
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MLA

Chawla, Deepak, and Himanshu Joshi. "E-Learning Perception and its Relationship with Demographic Variables: A Factor Analysis Approach." IJICTE vol.8, no.4 2012: pp.105-118. http://doi.org/10.4018/jicte.2012100109

APA

Chawla, D. & Joshi, H. (2012). E-Learning Perception and its Relationship with Demographic Variables: A Factor Analysis Approach. International Journal of Information and Communication Technology Education (IJICTE), 8(4), 105-118. http://doi.org/10.4018/jicte.2012100109

Chicago

Chawla, Deepak, and Himanshu Joshi. "E-Learning Perception and its Relationship with Demographic Variables: A Factor Analysis Approach," International Journal of Information and Communication Technology Education (IJICTE) 8, no.4: 105-118. http://doi.org/10.4018/jicte.2012100109

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Abstract

The last decade is witness to a number of education centers offering e-learning courses. This paper explores students’ perceptions about e-learning as a potential medium for delivering business education. The sample comprises of students studying full-time business management course at IIM-A, a premiere management institute in India. An online survey comprising of close-ended questions was administered to a set of 240 students. In response, 154 complete and usable submissions were received. An analysis was carried out on to identify the e-learning awareness and degree of familiarity of the students with the various e-learning technologies and factor analysis was carried out on statements on perception to extract the underlying factors of perceptions. Subsequently, a chi-square analysis was carried out to determine the relationship between perception and various demographic variables like gender, age group, education, educational background and work experience. Further, a one way ANOVA is performed to examine whether the mean factor scores vary across demographic variables.

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