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Context-Aware Adaptive System For M- Learning Personalization
| Content Provider | Hyper Articles en Ligne (HAL) |
|---|---|
| Author | Soualah-Alila, Fayrouz Nicolle, Christophe Mendes, Florence |
| Abstract | Context-aware mobile learning is becoming important because of the dynamic and continually changing learning settings in learner's mobile environment, giving rise to many different learning contexts that are difficult to apprehend. To provide personalization of learning content, we aim to develop a recommender system based on semantic modeling of learning contents and learning context. This modeling is complemented by a behavioral part made up of rules and metaheuristics used to optimize the combination of pieces of learning contents according to learner's context. All these elements form a new approach to mobile learning. |
| Related Links | https://hal.science/hal-01238330/file/Article10.pdf |
| Conference Proceedings | IE14 13 th International Conference on Informatics in Economy Education |
| Language | English |
| Publisher | HAL CCSD |
| Publisher Date | 2014-04-30 |
| Access Restriction | Open |
| Subject Keyword | recommendation Context-awareness metaheuristics semantic web m-learning |
| Content Type | Text |
| Resource Type | Conference Proceedings |
| Subject | Computer Science |
