Resolving the Problem of Intelligent Learning Content in Learning Management Systems

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Rey-López, M., Brusilovsky, P., Meccawy, M., Díaz-Redondo, R., Fernández-Vilas, A. & Ashman, H. (2008). Resolving the Problem of Intelligent Learning Content in Learning Management Systems. International Journal on E-Learning, 7(3), 363-381. Chesapeake, VA: AACE.
Retrieved from http://www.editlib.org/p/26219.

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Journal Information

International Journal on E-Learning
ISSN 1537-2456
Volume 7, Issue 3, July 2008
Association for the Advancement of Computing in Education (AACE)  Chesapeake, VA

More Information on IJEL

Authors

Marta Rey-López, University of Vigo, Spain; Peter Brusilovsky, University of Pittsburgh, United States; Maram Meccawy, University of Nottingham, United Kingdom; Rebeca Díaz-Redondo, Ana Fernández-Vilas, University of Vigo, Spain; Helen Ashman, University of South Australia, Australia

Abstract

Current e-learning standardization initiatives have put much effort into easing interoperability between systems and the reusability of contents. For this to be possible, one of the most relevant areas is the definition of a run-time environment, which allows Learning Management Systems to launch, track and communicate with learning objects. However, when dealing with intelligent content, these environments show important restrictions. In this article, we study these restrictions, comparing several standardized run-time environments with nonstandardized solutions that aim to overcome these constraints.

Keywords

• eLearning
• Instructional Materials
• Learning Management Systems
• Learning Objects
• Artificial Intelligence

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