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The Baghera project: a multi-agent architecture for human learning
Carine Webber* , Loris Bergia, Sylvie Pesty and Nicolas Balacheff Laboratoire Leibniz – IMAG 46, avenue Félix Viallet 38031 Grenoble Cedex FRANCE {Carine.Webber,Loris.Bergia,Sylvie.Pesty,Nicolas.Balacheff}@imag.fr Abstract. The Baghera project intends to develop theoretical and methodological foundations to guide the computer modelling and conception of learning environments. This paper presents the Baghera platform, which is founded on the principle that the educational function of a system is an emerging property of the interactions organised between its components: agents and humans, and not a mere functionality of one of its parts. Our first achievements include a web-based multi-agent architecture for learning environments and an operational prototype for the learning of geometry proof. We start this paper with a brief overview of the project Baghera. Then we describe the multi-agent architecture and the learning environment for geometry proof construction. We conclude by discussing some perspectives for future developments.

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