info:eu-repo/semantics/publishedVersion
Improving User Profiling for a Richer Personalization: Modeling Context in E-Learning
Fecha
2012Registro en:
Gasparini, Isabela; Eyharabide, Maria Victoria; Schiaffino, Silvia Noemi; Pimenta, Marcelo; Amandi, Analia Adriana; et al.; Improving User Profiling for a Richer Personalization: Modeling Context in E-Learning; IGI Global; 2012; 182-197
9781609608422
CONICET Digital
CONICET
Autor
Gasparini, Isabela
Eyharabide, Maria Victoria
Schiaffino, Silvia Noemi
Pimenta, Marcelo
Amandi, Analia Adriana
Palazzo M. de Oliveira, Jose
Resumen
This chapter presents the context-aware aspects of ADAPTSUR, a personalization approach designed for e-learning environments. The main features of ADAPTSUR are described and illustrated, showing how to use it to model context and culture for personalization in e-learning environments. The authors describe two materializations of the proposed approach, an adaptive e-learning system and an intelligent tutor, which provide personalized assistance to students taking into account their profiles. Finally, the authors discuss the benefits of their proposal.