LMOnto: An Ontology-Based Learner Model for Technology Enhanced Learning Systems
| Autor: | Ali El Mezouary, Laila Akharraz, Zouhir Mahani |
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| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Formalism (philosophy of mathematics) 020901 industrial engineering & automation Computer science Human–computer interaction ComputingMilieux_COMPUTERSANDEDUCATION 0202 electrical engineering electronic engineering information engineering Ontology 020201 artificial intelligence & image processing 02 engineering and technology |
| Zdroj: | Smart Data and Computational Intelligence ISBN: 9783030119133 |
| DOI: | 10.1007/978-3-030-11914-0_15 |
| Popis: | Several initiatives concerning the learner model has been proposed in the context of technology-enhanced learning systems. In fact, there are two main challenges encountered in this regard: Firstly, which information will serve to represent and reflect better the learner? Secondly, which formalism chooses for representing and managing the learner model? To overcome those challenges, we propose a new ontological approach for learner modeling enriched from the existing models. |
| Databáze: | OpenAIRE |
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