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Title:
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CONTEXTUAL ADAPTATION OF LEARNING RESOURCES |
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Author(s):
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Amel Bouzeghoub , Kien Ngoc Do , Claire Lecocq |
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ISBN:
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978-972-8924-36-2 |
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Editors:
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Inmaculada Arnedillo Sánchez (series editors: Piet Kommers, Pedro Isaías and Nian-Shing Chen) |
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Year:
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2007 |
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Edition:
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Single |
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Keywords:
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Pervasive learning, context, learning resources, user profile, adaptation, personalization. |
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Type:
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Full Paper |
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First Page:
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41 |
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Last Page:
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48 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Pervasive learning systems must define new mechanisms to deliver the right resource, at the right time, at the right place
to the right learner. This means that rich context information has to be considered: time, place, user knowledge, user
activity, user environment and device capacity. This paper presents our approach which involves modeling of context and
of situation. As context is based on numerous information which may change frequently (coming from a collection of
captors), a more aggregate view is defined to work on more abstract objects: the situation. Context information and
situation information have to be widespread into all the models of learning systems: context preferences have to be
handled in the learner model, well-adapted situation and situation have to be in the learning resource model. The process
of delivering and of adaptation is also enhanced by introducing the comparison between situations. A prototype validates
this proposition. |
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