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Presentation
Mining Topic Taxonomies of the Distance Education Literature With Text-Mining Techniques
Annual Meeting of American Educational Research Association: Disciplined Inquiry: Education Research in the Circle of Knowledge (2009)
  • Jui-long Hung, Boise State University
  • Ke Zhang, Wayne State University
Abstract

This study investigated the longitudinal trends of distance education research through text mining. Selected text mining techniques were used to extract implicit, hidden knowledge from the open source distance education literature available from Web of Knowledge database. The taxonomies of distance education articles were grouped into clusters based on abstract analysis with text mining techniques. The results illustrate the trends of research across time in the field of distance education, generate article biblio-metrix, and show the overall research themes from 1981 to 2008 in distance education research.

Publication Date
April 15, 2009
Citation Information
Jui-long Hung and Ke Zhang. "Mining Topic Taxonomies of the Distance Education Literature With Text-Mining Techniques" Annual Meeting of American Educational Research Association: Disciplined Inquiry: Education Research in the Circle of Knowledge (2009)
Available at: http://works.bepress.com/andy_hung/3/