Taking rich context and situation in account for improving an adaptive e-learning system

Isabela Gasparini (1) , Ana Marilza Pernas (2, 3) , Amel Bouzeghoub (4, 5, 6, 7) , José Palazzo Moreira de Oliveira (2) , José Valdeni de Lima (2) , Marcelo Pimenta (2)

1 DCC-UDESC - Depart. de Ciência da Computação (Universidade do Estado de Santa Catarina)
2 UFRGS - Instituto de Informática da UFRGS
3 Departamento de Informática (Instituto de Física e Matemática-Universidade Federal de Pelotas)
4 ACMES-SAMOVAR - Architecture, Cloud continuum, formal Models, artificial intElligence and Services in distributed computing
5 TSP - INF - Département Informatique
6 SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
7 CNRS - Centre National de la Recherche Scientifique

Although there are several approaches for adaptive e-learning systems, they focus mainly on technological and/or networking aspects without taking into account other contextual aspects, such as cultural and pedagogical context. This paper presents a context-aware situation-dependent personalization approach designed for an adaptive e-learning system called AdaptWeb®, based on a rich context model as an extension to student modeling

Domaines: Environnements Informatiques pour l'Apprentissage Humain

Isabela Gasparini, Ana Marilza Pernas, Amel Bouzeghoub, José Palazzo Moreira de Oliveira, José Valdeni de Lima, et al.. Taking rich context and situation in account for improving an adaptive e-learning system. CSEDU 2011 : 3rd International Conference on Computer Supported Education, May 2011, Noordwijkerhout, Netherlands. pp.165 - 172, ⟨10.5220/0003291001650172⟩. ⟨hal-01302229⟩