A Discussion List Analyzer: Using an Artificial Neural Network to Reveal Cognitive Effort Expressed in Online Discussion List Messages
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McKlin, T., Oliver, P., Morris, L. & Finnegan, C. (2003). A Discussion List Analyzer: Using an Artificial Neural Network to Reveal Cognitive Effort Expressed in Online Discussion List Messages. In D. Lassner & C. McNaught (Eds.), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2003 (pp. 876-879). Chesapeake, VA: AACE.
Retrieved from http://www.editlib.org/p/13901.
Conference Information
World Conference on Educational Multimedia, Hypermedia and Telecommunications (EDMEDIA) 2003
Honolulu, Hawaii, USA
2003
ISBN 1-880094-48-7
David Lassner & Carmel McNaught
AACE
More Information on EDMEDIA
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Abstract
This paper details the work performed toward building a reliable, automatic, content analysis suite of tools that analyzes online educational discussion list messages. This project is conducted under contract by Georgia Tech's Center for Education Integrating Science, Mathematics, and Computing (CEISMC) with the Institute of Higher Education at the University of Georgia under a service agreement with the University System of Georgia Board of Regents' Advanced Learning Technologies Unit. This study is based on the cognitive presence element of Garrison, Anderson, and Archer's (2000, 2001) community of inquiry model and seeks to answer two broad questions: Can an artificial neural network (ANN) be used to reliably create an automatic discussion list analysis tool, and can such a tool reveal the cognitive effort behind a body of discussion list messages?
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