Goal: Support learning of endodontics diagnosis
Data
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Method
E-learning, adaptive profiles.
Collaborative work
We collaborate with Universidad de Rosario, Argentina.
In Endodontic’s, as in other health’s area, learning to take a correct diagnosis is a fundamental activity for the vocational training. In that regard, the University of Rosario implemented the EndoDiag system, an expert system for the student guide in the resolution of a clinical case that he is analyzing. Later on, EndoDiag II includes clinical cases that represents real situations of the professional practice, and adapts the exercise to the student experience. As the complexity of the platform was growth, our work was to explore multi-agent architectures to support the e-learning system.
