Abstract
Providing learners with personalized recommendations and/or adaptive courses that fit their characteristics and situation has high potential to make online and mobile learning easier and more effective for learners. However, most of the learning systems that are currently used by educational institutions do not provide adaptivity based on learners' characteristics, needs or situation. In this paper, we introduce our research on considering different learner characteristics and their context in learning systems and therefore provide learners with personalized learning experiences.
| Original language | Canadian English |
|---|---|
| Pages (from-to) | 33-36 |
| Number of pages | 4 |
| Journal | The 1st international symposium on smart learning environment |
| Publication status | Published - 2012 |
Keywords
- - adaptivity and personalization
- affective states
- cognitive traits
- context
- learning styles
- motivational aspects