Abstract
Designing effective and usable adaptive e-learning systems represents a challenge because of the complexity which arises when meeting the needs of learners. This is compounded by the lack of well-designed experimental evaluations of adaptive e-learning systems in general, and of their usability and effectiveness in particular. This paper offers an experimental evaluation of the effect of adaptation, taking into account both the perceived usability level and learning effectiveness. A controlled experiment was conducted with 75 participants and produced significant results. They indicate that an adaptive version has a significantly higher level of perceived usability and of learning effectiveness than a non-adaptive version.
| Original language | English |
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| Pages | 2984-2991 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | ACM Human-Computer Interaction Conference (ACM CHI 2016) - San Jose, United States Duration: 7 May 2016 → 12 May 2016 |
Conference
| Conference | ACM Human-Computer Interaction Conference (ACM CHI 2016) |
|---|---|
| Country/Territory | United States |
| City | San Jose |
| Period | 7/05/16 → 12/05/16 |
Bibliographical note
© ACM, 2016. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems http://dl.acm.org/citation.cfm?id=2892395Keywords
- Usability
- Effectiveness
- Adaptivity
- Personalization
- Learner-system Interaction
- E-learning
- Experimentation
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Rachid Anane
- School of Computing, Mathematics and Data Sciences - Assistant Professor Academic
Person: Teaching and Research