COSTA, E. B.; http://lattes.cnpq.br/5760364940162939; COSTA, Evandro de Barros.
Resumen:
Most of the research in the design of Artificial Intelligence in Education (AI-ED)
system involves tutoring interactions between two main entities: a computer tutor and a human
learner. In this context, one of the central and fundamental issues is the adaptability of
the computer tutor to the learner's individual needs (as perceived by the tutor), that is, the
possibility that the tutor provides the learner with appropriate and individualized actions in
teaching/learning situations. This adaptability has been widely assumed as a major requirement
to achieve an effective learning process. The present research is focused in this direction,
mainly aiming the design of a model of a multi-agent computer-based interactive
learning environment. In particular, this environment model aims to support pedagogical
interactions between a human learner and a society of artificial tutoring agents, and with this
society and a human expert society.
We make considerations about the domain knowledge structure and defining a multidimensional
view on this domain. Then, we adopt a multi-agent approach based on this
view and defining a society of tutoring agents. So, we develop the main elements to support
the interactions involved. These elements are related to agent model, agent architecture, languages
and protocols to support interactions among agents.
Finally, it is important to claim that the designed learning environment and its multiagent
architecture mean a horizontal contribution in this thesis. A vertical contribution of the
present research is related to proposition of a multidimensional model of domain knowledge,
of a multi-agent system, and of distributed model to support diagnosis of learner's actions.
