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Pedagogical process management: Case
study by applying the reinforcement learning
Abdellah Bennane*, Theo D’hondt, Bernard Manderick and Ann
Nowé
Vrije University of Brussel,
Belgium.
*Corresponding author.
E-mail:
abennane@vub.ac.be.
Accepted
30 June, 2009
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The
introduction of the intelligence in teaching software is
theobject
of this paper. In software elaboration process, one uses
some learning techniques in order to adapt the teaching
software to characteristics of student. Generally, one uses
the artificial intelligence techniques like reinforcement
learning, Bayesian network
in order to adaptthe
system to the environment internal and external conditions,
and allow this system to interact efficiently with its
potentials user. The intention is to automate and manage the
pedagogical process of tutoring system, in particular the
selection of the content and manner of pedagogic situations.
Researchers create a pedagogic learning agent that
simplifies the manual logic and supports progress and
the management of the teaching process (tutor-learner)
through natural interactions.
Key words:
Adaptive system, tutoring system, agent, environment,
natural interaction, reinforcement learning, pedagogical
process.
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