Abstract
Traditional e-learning systems have been, typically, designed for a generic learner, irrespective of individual knowledge, skills and learning styles. In contrast, adaptive e-learning systems can enhance learning by taking into account different learner characteristics and by personalising learning material. Although a large number of systems incorporating learning style have been deployed, there is a lack of comprehensive, comparative evaluations. This paper attempts to bridge this gap by comparing a number of adaptive e-learning systems. It considers three main perspectives: the learner model, the domain model and the adaptation model. A set of criteria is generated for each perspective, and applied to a representative sample of adaptive e-learning systems.
| Original language | English |
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| Title of host publication | Proceedings - 2014 8th International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2014 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 79-86 |
| Number of pages | 8 |
| ISBN (Print) | 9781479943258 |
| DOIs | |
| Publication status | Published - 1 Oct 2014 |
| Event | 2014 8th International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2014 - Birmingham, United Kingdom Duration: 2 Jul 2014 → 4 Jul 2014 |
Conference
| Conference | 2014 8th International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2014 |
|---|---|
| Country/Territory | United Kingdom |
| City | Birmingham |
| Period | 2/07/14 → 4/07/14 |
Keywords
- adaptation model
- adaptive e-learning systems
- domain model
- learner model
- learning style
- learning technologies
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Artificial Intelligence