Volume 5 Number 3 (Sept. 2015)
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IJEEEE 2015 Vol.5(3): 165-172 ISSN: 2010-3654
doi: 10.17706/ijeeee.2015.5.3.165-172

Instructional Strategy Based on Associative Relevance Improves e-Learning

Gufran Ahmad
Abstract—Studies in search of improved instructional strategies in e-learning have extended beyond possibilities of speculations. An improved instructional strategy can develop substantially better transfer of learning and better adaptive brains as well. In this study, we experimented to gather samples as data from participants who took part in this investigation. We tested the gathered data to validate our hypothesis that the instructional strategy based on associative relevance had drastically upgraded e-learning. The observed facts and analyzed data established the hypothesis that instructional strategy based on associative relevance improved e-learning.

Index Terms—Associative relevance, cognition, e-learning, instructional strategy.

Gufran Ahmad is with College of Computer Sciences and Information Systems, Jazan University, Jazan, 45142, Saudi Arabia.

Cite: Gufran Ahmad, " Instructional Strategy Based on Associative Relevance Improves e-Learning," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 5, no. 3, pp.165-172, 2015.

General Information

ISSN: 2010-3654 (Online)
Abbreviated Title: Int. J. e-Educ. e-Bus. e-Manag. e-Learn.
Frequency: Quarterly
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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