Dynamic Knowledge Route Selection for Personalised Learning Environments using Multiple Criteria

N. Manouselis and D. Sampson (Greece)


Personalized eLearning, Webbased 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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