This paper presents an initial evaluation of different forms of adaptation based on learning style and knowledge level, which were implemented in an adaptive e-learning system. An experiment conducted in a learning context with 174 participants produced significant results in terms of learning gain. They indicate that adaptation based on both learning style and knowledge level yields significantly better learning gain than adaptation based on learning style only, and better than adaptation based on knowledge level only.
|Title of host publication||Lecture Notes in Computer Science: Intelligent Tutoring Systems|
|Editors||Alessandro Micarelli, John Stamper, Kitty Panourgia|
|Place of Publication||Switzerland|
|ISBN (Print)||978-3-319-39583-8, 978-3-319-39582-1|
|Publication status||Published - 2016|
|Event||Intelligent Tutoring Systems International Conference - Zagreb, Croatia|
Duration: 7 Jun 2016 → 10 Jun 2016
|Conference||Intelligent Tutoring Systems International Conference|
|Period||7/06/16 → 10/06/16|
Bibliographical noteThe full text is not available on the repository.
- Learning style
- Learner knowledge
Alshammari, M., Anane, R., & Hendley, R. J. (2016). An Empirical Evaluation of Learning Style and Knowledge Level Adaptation. In A. Micarelli, J. Stamper, & K. Panourgia (Eds.), Lecture Notes in Computer Science: Intelligent Tutoring Systems (Vol. 9684, pp. 498-499). Switzerland: Springer Verlag. https://doi.org/10.1007/978-3-319-39583-8