Affiliations: Federal University of Rio Grande do Sul, Informatics
Institute, P.O. Box 15064, 91501-970, Porto Alegre, RS, Brazil.
rosa@inf.ufrgs.br | Department of Collective Medicine, Foundation of
Federal Faculty of Medical Sciences of Porto Alegre, Rua Sarmento Leite, 245,
90050-170, Porto Alegre, RS, Brazil. dflores@fffcmpa.edu.br | Federal University of Rio Grande do Sul, Pharmacy
School, POBox 15064, 91501-970, Porto Alegre, RS, Brazil.
louise.seixas@ufrgs.br | Post-Graduation Program in Applied Computer Science,
UNISINOS, São Leopoldo, RS, Brazil. jcgluz@unisinos.br | Department of Informatics, University of Lisbon, Campo
Grande, C6, 1749-016, Lisboa, Portugal. hcoelho@di.fc.ul.pt
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.
Keywords: Intelligent learning environments, pedagogical negotiation, education and medicine
