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International Journal of Innovation and Applied Studies
ISSN: 2028-9324     CODEN: IJIABO     OCLC Number: 828807274     ZDB-ID: 2703985-7
 
 
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A Meta – analysis of e- learning effectiveness antecedent


Volume 3, Issue 1, May 2013, Pages 48–58

 A Meta – analysis of e- learning effectiveness antecedent

Rabeb Mbarek1 and Jamel Eddine El Gharbi2

1 Department of Management and Organizations, University of Sousse, Tunisia
2 Departement of Marketing, University of Jandouba, Tunisia

Original language: English

Copyright © 2013 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


The academic research on e-learning effectiveness becomes one of the current themes. In this perspective, many efforts have been made to give more comprehension to learning effectiveness determinants. In fact, researchers focus frequently on the variables that maximize the reaction, learning and behaviour changes of trainees. Despite these efforts that aim at giving more comprehension to learning effectiveness determinants, researchers have not reached a consensus on the "nomological network" of learning results, ruling distinctness over how to explain them and queries as how could they make training experience more effective and interesting in education and corporation area as well. These divergent perspectives suggest that a conceptual and quantitative review of nomological network of learning outcomes antecedents is justified and necessary.
The present study addresses the limitation of understanding regarding learning outcomes antecedents by reviewing the empirical results of literature. In this case, a review and Meta

Author Keywords: Trainee characteristics, Training effectiveness, Meta-analysis.


How to Cite this Article


Rabeb Mbarek and Jamel Eddine El Gharbi, “A Meta – analysis of e- learning effectiveness antecedent,” International Journal of Innovation and Applied Studies, vol. 3, no. 1, pp. 48–58, May 2013.