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A semantic-web based framework for adaptive selection of learning objects during the authoring process. PROCEEDINGS

, Asian Institute of Technology, Thailand ; , Dipartimento di Informatica e Telecommunicazioni, Universita di Trento, Italy ; , Sheridan Institute for Technology and Advanced Learning, Canada ; , Asian Institute of Technology, Thailand

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Quebec City, Canada ISBN 978-1-880094-63-1 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA

Abstract

Semantic Web technology has been proposed as a key to enhance several aspects of e-learning, such as annotation and adaptation to the students' needs. Based on the same technology, we propose an approach to assist teachers in the process of selecting learning objects to build their own courses. We explicitly take into account teacher's knowledge, experience and teaching style to maximize the likelihood of finding the best suited teaching material.

Citation

Joshi, A., Ronchetti, M., Sant, J. & Wuwongse, V. (2007). A semantic-web based framework for adaptive selection of learning objects during the authoring process. In T. Bastiaens & S. Carliner (Eds.), Proceedings of E-Learn 2007--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 1616-1621). Quebec City, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved September 23, 2017 from .

Keywords