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Factors Affecting the Adoption of e-Learning: A Meta-analysis of Existing Knowledge

Authors:
Boštjan Šumak
Marjan Hericko
Maja Pušnik

Keywords: e-learning, technologies adoption, meta-analysis, TAM, UTAUT, Hedges' g

Abstract:
There are different factors that can influence a learner’s decision on how and when they will use a particular, innovative e-learning technology. In the existing literature, there are many studies that deal with the identification of factors and their impact on a user’s acceptance of e-learning technology. This paper demonstrates the results of a meta-analysis – a statistical synthesis method that provides the opportunity of viewing the research context by combining and analyzing the quantitative results of several independent empirical studies. The meta-analysis was conducted on the basis of empirical data gathered from 28 independent empirical studies in the field of e-learning acceptance. The meta-analysis provided strong evidence that perceived usefulness is the strongest predictor of a learner’s adoption of an e-learning technology.

Pages: 31 to 35

Copyright: Copyright (c) IARIA, 2011

Publication date: February 23, 2011

Published in: conference

ISSN: 2308-4367

ISBN: 978-1-61208-120-5

Location: Gosier, Guadeloupe, France

Dates: from February 23, 2011 to February 28, 2011