Specialization, Adaptation and Exploration in a Personalized Learning Environment

A. Carbonaro (Italy)


Modelling and Simulation, Active learning, Information filtering, User Modelling


This paper proposes a personalized learning environment designed and developed as an integrated interface of set of tools, which we developed in order to provide intelligent support to achieve the expectations of active learning. The system satisfies the three main requirements of: i) specialization, in fact the system infers the habits of the user and specializes to them suggesting as many relevant documents and as few irrelevant documents as possible, ii) adaptation, in fact the system adapts its behaviour in response to the change of student interests, iii) exploration, in effect the system explores newer information resources to find something of potential interesting to the user.

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