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Article
Mining Longitudinal E-Learning Research: Trends and Patterns
Proceedings of Society for Information Technology & Teacher Education International Conference
  • Jui-long Hung, Boise State University
  • Chareen Snelson, Boise State University
Document Type
Conference Proceeding
Publication Date
3-3-2008
Abstract

This study will focus on investigating longitudinal trends of e-learning research. Text mining techniques will be used to extract implicit, hidden knowledge from the open source global e-learning research literature. An extensive e-learning focused query will be applied to the Social Science Citation Index (SSCI) and ED/IT-Lib database. The taxonomies of e-learning articles will be grouped into clusters by analyzing abstract with text mining techniques. The results will provide aggregate e-learning research time trends, aggregate e-learning article bibliometrics, and overall research themes based on total e-learning article retrieved.

Citation Information
Jui-long Hung and Chareen Snelson. "Mining Longitudinal E-Learning Research: Trends and Patterns" Proceedings of Society for Information Technology & Teacher Education International Conference (2008)
Available at: http://works.bepress.com/andy_hung/22/