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A Framework for Adaptive E-Learning Based on Distributed Re-usable Learning Activities
PROCEEDINGS

, , University of Pittsburgh, United States

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Montreal, Canada ISBN 978-1-880094-46-4 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

Abstract

This paper argues that a way to the new generation of powerful E-learning systems starts on the crossroads of two emerging fields: courseware re-use and adaptive educational systems. This paper presents the KnowledgeTree, a framework for adaptive E-learning based on distributed re-usable learning activities that we are currently developing. The goal of KnowledgeTree is to bridge the gap between the information power of modern educational material repositories and the just-in-time delivery and personalization power of ITS and AH technologies.

Citation

Nijhavan, H. & Brusilovsky, P. (2002). A Framework for Adaptive E-Learning Based on Distributed Re-usable Learning Activities. In M. Driscoll & T. Reeves (Eds.), Proceedings of E-Learn 2002--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 154-161). Montreal, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved December 2, 2022 from .

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