Dynamic Knowledge Route Selection for Personalised Learning Environments using Multiple Criteria

N. Manouselis and D. Sampson (Greece)


Personalized e-Learning, Web-based Education


In this paper we deal with the problem of dynamically selecting a knowledge route suitable to individual learner’s needs and profile, through a set of learning resources. We engage parameters of the learner’s cognitive style and create a multi-criteria utility model that evaluates available didactic methods, using initial evaluations upon a set of basic cognitive categories. The proposed methodology is studied within the context of the European KOD project, where intelligent agents providing educational e-content brokerage services to the learners, require methods and tools to dynamically assess the suitability of the available educational resources.

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