A Didactic-based Model of Scenarios for Designing an Adaptive and Context-Aware Learning System

Jean Louis Tetchueng (1) , Serge Garlatti (1) , Sylvain Laubé (2)

1 TAMCIC - Traitement Algorithmique et Matériel de la Communication, de l'Information et de la Connaissance
2 CREAD - Centre de Recherche sur l'Education, les apprentissages et la didactique

Nowadays, technology-enhanced learning systems must have the ability to take into account the context and to allow dynamic adaptation to different learners based on substantial advances in pedagogical theories and knowledge models. The main issue is to design a generic scenario which can deal with the broadest range of learning situations. From a generic scenario, the learning system will compute on the fly a particular scenario dedicated to the current learner and its learning situation. The main contribution of this paper is a semantic and didactic-based model of scenarios for designing an adaptive and context-aware learning system. The scenario model is acquired from: i) the know-how and real practices of teachers ii) the theory in didactic anthropology of knowledge of Chevallard [1]; iii) a hierarchical task model.

Keywords: scenarios; context-aware

Domains: Computer Science [cs]; Technology for Human Learning

Jean Louis Tetchueng, Serge Garlatti, Sylvain Laubé. A Didactic-based Model of Scenarios for Designing an Adaptive and Context-Aware Learning System. IEEE/WIC/ACM International Conference on Web Intelligence, 2007, United States. pp.723-726. ⟨hal-00197199⟩