T-MAESTRO: Personalized learning for IDTV

Abstract

IDTV experts broadly agree that in order to prevent the learner from abandoning t-learning experiences, it is necessary to take into account his/her particular preferences by means of a personalized experience. In this paper we introduce our personalized t-learning architecture: t-MAESTRO.