Abstract
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.
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Akharraz, L., El Mezouary, A., Mahani, Z. (2019). LMOnto: An Ontology-Based Learner Model for Technology Enhanced Learning Systems. In: Khoukhi, F., Bahaj, M., Ezziyyani, M. (eds) Smart Data and Computational Intelligence. AIT2S 2018. Lecture Notes in Networks and Systems, vol 66. Springer, Cham. https://doi.org/10.1007/978-3-030-11914-0_15
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