Supporting Acquisition of Knowledge to Personalize Interactive Learning Environments through a Meta-Model
Overview & Synopsis
Outsourced personalization of Interactive Learning Environments (ILE) requires having knowledge on these ILE: their teaching description (type of activities, parameters for exercises generation...) and their technical description (files location, content of configuration files...). To make possible this personalization, we propose a meta-model to acquire, through an expert, relevant knowledge necessary to personalize an ILE. We combine this meta-model with two processes: the first allows using the meta-model to create a specific model to an ILE, and the second allows using this model to personalize the ILE.
Indexed from repository: HAL Open Science
(
hal.science)
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Document Information
| Document Title | Supporting Acquisition of Knowledge to Personalize Interactive Learning Environments through a Meta-Model |
|---|---|
| Author / Organization | Marie Lefevre, Stéphanie Jean-Daubias, Nathalie Guin |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2009 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-173703 |
| Original Source Link | Visit Source Page on hal.science » |