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A Model for Personalized Learning Through IDTV

  • Conference paper
Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4018))

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.

Partly supported by the R+D project TSI 2004-03677 (Spanish Ministry of Education and Science) and by the EUREKA ITEA Project PASSEPARTOUT.

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Author information

Authors and Affiliations

  1. Department of Telematic Engineering, University of Vigo, 36310, Spain

    Marta Rey-López, Ana Fernández-Vilas & Rebeca P. Díaz-Redondo

Authors
  1. Marta Rey-López
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  2. Ana Fernández-Vilas
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  3. Rebeca P. Díaz-Redondo
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Editor information

Editors and Affiliations

  1. Knowledge and Data Engineering Group, Trinity College Dublin, Dublin, Ireland

    Vincent P. Wade

  2. School of Computer and Information Science, University of South Australia, Australia

    Helen Ashman

  3. Adaptive Information Cluster, School of Computer Science & Informatics, University College Dublin, Ireland

    Barry Smyth

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© 2006 Springer-Verlag Berlin Heidelberg

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Rey-López, M., Fernández-Vilas, A., Díaz-Redondo, R.P. (2006). A Model for Personalized Learning Through IDTV. In: Wade, V.P., Ashman, H., Smyth, B. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2006. Lecture Notes in Computer Science, vol 4018. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11768012_69

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  • DOI: https://doi.org/10.1007/11768012_69

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34696-8

  • Online ISBN: 978-3-540-34697-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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