Abstract
This paper identifies a critical problem for learners and teachers: the information overload associated with the Internet, and why it is not an effective tool for learning. The paper identifies two current learning theories, constructivism and multiple intelligences. It suggests a solution based on recent technology advances using XML, DOM, and the RDF framework. The proposed solution gives learners and teachers a way to retrieve information from the Internet, and to create an on-line knowledge framework for all learners..
The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-0-387-35602-0_35
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References
Gardner, Howard (1995). Multiple Intelligences. Arlington, Illinois: Skylight Training.
Hargis, Jace (Summer 2001 ). Can Students Learn Science Using the Internet? Journal of Research on Computing in Education. Volume 33 #4.
Maes Pattie. Agents that Reduce Work and Information Overload. Online: http://pattie.www.media.mit.edu/people/pattie/CACM-94/CACM-94.pl.html
Milton, B. B. (1989). Making Sense or Non-Sense: Key Issues in the Information Age. Canadian Vocational Journal 24, no 3 (February 1989).
Rodenberg, Dirk (December 1998). Shifting Perspectives in Education Technology. Online: http://horizon.unc.edu/TS/default.asp?show=article111andid=59
Wurman, Richard (1989). Information Anxiety, New York: Bantam Doubleday Dell Publishing Group.
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© 2002 IFIP International Federation for Information Processing
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Longworth, R. (2002). Harnessing the Internet into a Knowledge Framework. In: Musen, M.A., Neumann, B., Studer, R. (eds) Intelligent Information Processing. IIP 2002. IFIP — The International Federation for Information Processing, vol 93. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35602-0_25
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DOI: https://doi.org/10.1007/978-0-387-35602-0_25
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4757-1031-1
Online ISBN: 978-0-387-35602-0
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