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An Artificial Intelligence - Multi Agent based Intelligent Adaptive Learning Environment (IALE) based on OPUS One / OLAT
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, GSi Edu Research, Switzerland

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Vancouver, Canada ISBN 978-1-880094-76-1 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

Abstract

This essay proposes a concept for an Intelligent Adaptive Learning Environment (IALE) based on a holistic Multidimensional Instructional Design Model, applied on OLAT, an open source, Java LMS, developed at the University of Zurich, to support student and/or groups defined as “Learning Entities” (LE). Based primarily on an Artificial Intelligence – Tutoring Subsystem, used to identify, monitor and adapt the student's learning path, considering the students actual knowledge, learning habits and preferred learning style. The proposed concept has the peculiarity of eliminating any didactical boundaries or rigid, implied course structures (also known as unlimited didactical freedom). Relying on “real time” adapted profiles, it allows content authors to apply a dynamic course design, supporting tutored, collaborative sessions and activities, as suggested by modern pedagogy.

Citation

Pedrazzoli, A. (2009). An Artificial Intelligence - Multi Agent based Intelligent Adaptive Learning Environment (IALE) based on OPUS One / OLAT. In T. Bastiaens, J. Dron & C. Xin (Eds.), Proceedings of E-Learn 2009--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 3079-3087). Vancouver, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved August 26, 2019 from .

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