Abstract
Interactive Digital TV (IDTV) opens new learning possibilities where new forms of education are needed. In this paper we explain a new conception of t-learning experiences where TV programs and learning contents are combined. In order for its creation to be possible we will use Adaptive Hypermedia techniques and Semantic Reasoning to design an Intelligent Tutoring System (ITS) whose tasks consist in selecting, combining and personalizing the contents to construct these learning experiences. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Rey-López, M., Fernández-Vilas, A., & Díaz-Redondo, R. P. (2006). A model for personalized learning through IDTV. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4018 LNCS, pp. 457–461). Springer Verlag. https://doi.org/10.1007/11768012_69
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