Design And Development Of Context-Aware Recommendation Strategy For E-Learning

Authors

  • Shaina Raza Faculty of Information Technology , University of Central Punjab (UCP)
  • Syed Raza Bashir Department of Computer Science & Engineering, University of Engineering and Technology (UET), Lahore
  • Muhammad Tahir Hameed Department of Mathematics, Lahore Garrison University (LGU), Lahore
  • Muhammad Jawwad Zaheer Department of Computer Science & Engineering, University of Engineering and Technology (UET), Lahore

DOI:

https://doi.org/10.21015/vtse.v7i2.340

Abstract

The practice of retrieving and recommending Learning Objects (LOs) to the learners according to their specific needs and requirements has been a very active research area in e-learning. This paper proposes the design and development of a context-aware methodology that comprises a Learning Object Repository (LOR), context-aware recommendation engine and a user-friendly interface.  The existing approaches in this regard focus on learners’ ratings, history, behavior and interests, rather ignored the knowledge gain and learning outcomes by the learners. The paper contributes in the research in threefold manner. First, a comparative survey of existing research in this area is presented. Secondly, the design and development of context-aware methodology for recommending LOs to the learners is proposed. Third contribution of the research is a mapping algorithm. Finally, it provides directions for the future research in this area.

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Published

2015-09-08

How to Cite

Raza, S., Bashir, S. R., Hameed, M. T., & Zaheer, M. J. (2015). Design And Development Of Context-Aware Recommendation Strategy For E-Learning. VFAST Transactions on Software Engineering, 3(1), 26–36. https://doi.org/10.21015/vtse.v7i2.340

Issue

Vol. 3 No. 1 (2015): January-December

Section

Articles

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