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    Citas

    Título
    The Learners' User Classes in the TERENCE Adaptive Learning System
    Autor(es)
    Di Mascio, Tania
    Marenzi, Ivana
    Vittorini, Pierpaolo
    Gennari, Rosella
    Prieta Pintado, Fernando de laUSAL authority ORCID
    Alrifai, Mohammad
    Palabras clave
    Computer Science
    Fecha de publicación
    2012-07
    Editor
    IEEE
    Citación
    pp. 572 - 576.
    Resumen
    Nowadays, circa 10% of 7-11 olds turn out to be poor comprehenders: they demonstrate text comprehension difficulties, related to inference making, despite proficiency in low-level cognitive skills like word reading. To improve the reading comprehension of these children, TERENCE, a technology enhanced learning project, aims at stimulating inference-making about stories. In order to design and develop the TERENCE system, we use a user centred design approach that requires an in depth study of the system's main end-users, namely, its learners and educators. This paper reports on the specification of the user classes for the TERENCE learners by means of user-centred design field studies, the resulting global system architecture, and an example use case of the system, with few related GUI's snapshots.
    URI
    https://hdl.handle.net/10366/134878
    ISBN
    978-1-4673-1642-2 (Print)
    Collections
    • BISITE. Congresos [298]
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