NDLI: Enhancing personalization and learner engagement through context-aware recommendation in TEL

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Enhancing personalization and learner engagement through context-aware recommendation in TEL

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Enhancing personalization and learner engagement through context-aware recommendation in TEL

Content Provider	ACM Digital Library
Author	Mayeku, Betty
Abstract	Providing a personalized learning experience that caters for individual learner's needs within the learner's context of use is crucial in achieving effective learning in a technology enhanced learning (TEL) environment. However, achieving personalization amidst diverse and rich environment within which learning takes place still remains a major challenge. Though adaption has been proposed to provide learners with learning experiences that are tailored to their particular educational needs, however, one of its limitation is user involvement. Absolute machine control is not always desirable considering the intellectual presence of human-beings. Furthermore learner engagement is one of crucial elements for realizing effective learning. Therefore, this study aims at exploring how context-awareness can support a personalized and engaged learning experience. The study in particular proposes the use of context-aware recommendation mechanism and the consideration of learner's preference to learning as approaches for achieving personalization and learner engagement.
Starting Page	413
Ending Page	415
Page Count	3
File Format	PDF
ISBN	9781450326681
DOI	10.1145/2645710.2653362
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-10-06
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Context Learner preference Personalization Learner engagement Tel Context-aware recommender Adaptation
Content Type	Text
Resource Type	Article

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