Accessing Best-Match Learning Resources in WBT Environment
Denis Helic, Hermann Maurer, Nick Scerbakov, TU Graz, Austria
EdMedia + Innovate Learning, in Norfolk, VA USA ISBN 978-1-880094-42-6 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
In this paper, we analyse a so-called access to Best-Match learning resources in a WBT environment. We overview existing solutions and propose a new technical solution which extends the topic map functionality with a number of important features. This solution is based on a concept of so-called knowledge cards combined into a semantic network. The mechanism essentially utilizes such important property of semantic networks as a possibility to infer Learning Resources using semantic relationships.
Helic, D., Maurer, H. & Scerbakov, N. (2001). Accessing Best-Match Learning Resources in WBT Environment. In C. Montgomerie & J. Viteli (Eds.), Proceedings of ED-MEDIA 2001--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 726-727). Norfolk, VA USA: Association for the Advancement of Computing in Education (AACE).
© 2001 Association for the Advancement of Computing in Education (AACE)