Kernel for a Semantic Learning Platform with adapted suggestions

Ioan Szilagyi (1) , Radu Balog-Crisan (1) , Ioan Roxin (1) , Ana Roxin (2)

1 ELLIADD - Edition, Littératures, Langages, Informatique, Arts, Didactique, Discours - UFC (UR 4661)
2 LCE - Laboratoire Chrono-environnement (UMR 6249)

An important aspect in the context of personalized learning is providing adapted suggestions to the learner. These suggestions consist in resources that are either specially designed for learning purposes or not, notably in the case of blog articles, forum discussions, etc. However, the objective is to help the learner in better understanding a concept, with any kind of additional resources. The offered suggestions are selected in close relation with the learner's profile. The Learner Profile consists of the sum of specific learner characteristics that are used to describe the Learning Style, Learning Path, Learning goals, Knowledge Base, etc. The decisions about suggested resources are taken at the Kernel level, which represents the central part of the Semantic Learning Content Management System.

Mots clés: SLCMS; semantic learning; adapted suggestions; ontologies; RDF; OWL; LOM

Domaines: Environnements Informatiques pour l'Apprentissage Humain; Education

Ioan Szilagyi, Radu Balog-Crisan, Ioan Roxin, Ana Roxin. Kernel for a Semantic Learning Platform with adapted suggestions. 10th IEEE International Conference on Advanced Learning Technologies, Jul 2010, Sousse, Tunisia. ⟨hal-00701077⟩