AMPLIA: A Probabilistic Learning Environment
In IJAIED
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Abstract
This paper introduces AMPLIA, an intelligent learning environment employed as a resource in
medical students' training. The development of AMPLIA raised several research topics, due to the convergence
of Artificial Intelligence (AI) and Learning Environments. The core topics are: probabilistic diagnostic learning
in the medical area, application of teaching strategies based on Pedagogical Negotiation (PN), construction of
cognitive student models with probabilistic beliefs, and application of interoperability methods for pedagogical
agents, and tutoring systems integration. An important aspect of AMPLIA is the utilization of PN as the main
form of interaction. The impact of this approach on the system dynamics and on the student's learning is
presented in detail. Considering the importance of cooperative work during the learning process, we describe
how AMPLIA is used to enable cooperation. The description is based on experiments carried out with AMPLIA
and its users. The main results of these experiments are reported as well.
