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  • 标题:Augmented Transfer of Knowledge in eLearning Materials based on Associative Relevance
  • 本地全文:下载
  • 作者:Gufran Ahmad
  • 期刊名称:International Journal of Emerging Technologies in Learning (iJET)
  • 印刷版ISSN:1863-0383
  • 出版年度:2015
  • 卷号:10
  • 期号:6
  • 页码:66-69
  • 语种:English
  • 出版社:Kassel University Press
  • 摘要: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.
  • 其他摘要: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.
  • 关键词:Associative relevance;Cognition;eLearning;Transfer of knowledge
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