A Comparative Study of the Learner Model in Adaptive Mobile Learning Systems
| Autor: | Soukaina Ennouamani, Zouhir Mahani |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
E-learning (theory) media_common.quotation_subject 05 social sciences 050301 education Context (language use) 02 engineering and technology Field (computer science) Learning styles Presentation E learning Human–computer interaction Order (business) 020204 information systems 0202 electrical engineering electronic engineering information engineering 0503 education media_common |
| Zdroj: | NISS |
| DOI: | 10.1145/3320326.3320351 |
| Popis: | Currently, scientific researches in the field of e-learning in general and m-learning in particular are oriented towards learning platforms where learner's expectations, motivation, learning styles, habits and needs are increasingly taken into consideration. This research direction enables developers to build a model of goals, preferences and knowledge of each individual user in order to adapt the learning to his/her needs and characteristics. For this purpose, we present in this paper a comparative study of the existing learner models in adaptive m-learning systems that consider a combination of learner's characteristics and context in order to provide each learner with the most suitable learning content and format of presentation. We end our paper by suggesting a future proposal after criticizing the related works. |
| Databáze: | OpenAIRE |
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