Modelling the context of learning interactions in intelligent learning environments

Authors:
Fabio N. Akhras
Affiliations:
Renato Archer Research Center, Campinas, São Paulo, Brazil
Venue:
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
Year:
2005

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Abstract

The aim of this paper is to present an approach to modelling and using the context of learning in intelligent learning environments. The approach developed allows the modelling of the content and dynamics of learning situations and the way situations develop as a consequence of interactions. Situation models are used to support two aspects of intelligent learning environments: evaluation of learning, taking into consideration the context of learning activity, and adaptation of the learning environment to the learner's perceived needs, taking into consideration the affordances of learning contexts. The main focus of the paper is on the description of the formalism developed to support context modelling in intelligent learning environments. An application of the approach in a system to support learning of software engineering concepts is briefly described.