Augmented Transfer of Knowledge in eLearning Materials based on Associative Relevance

Authors

  • Gufran Ahmad Jazan University

DOI:

https://doi.org/10.3991/ijet.v10i6.4871

Keywords:

Associative relevance, Cognition, eLearning, Transfer of knowledge

Abstract


Studies for enhancement of learning approaches in the field of eLearning have been molded beyond frontier. An improved transfer of knowledge can cultivate considerably outstanding knowledge-sharers and better learners as well. In this study, we conducted experiments to assemble samples as data from participants who joined in this research. We investigated the assembled data to confirm our hypothesis that the eLearning materials based on associative relevance had substantially boosted transfer of learning process. The analyzed data and produced ingenious specifics evidenced that there were improved transfer of knowledge in eLearning based on associative relevance.

Author Biography

Gufran Ahmad, Jazan University

Faculty in Computer Sciences and Information Systems, Jazan University

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Published

2015-12-16

How to Cite

Ahmad, G. (2015). Augmented Transfer of Knowledge in eLearning Materials based on Associative Relevance. International Journal of Emerging Technologies in Learning (iJET), 10(6), pp. 66–69. https://doi.org/10.3991/ijet.v10i6.4871

Issue

Section

Short Papers