Mining Longitudinal E-Learning Research: Trends and Patterns
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Hung, J.L. & Snelson, C. (2008). Mining Longitudinal E-Learning Research: Trends and Patterns. In K. McFerrin et al. (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference 2008 (pp. 1106-1108). Chesapeake, VA: AACE.
Retrieved from http://www.editlib.org/p/27333.
Society for Information Technology & Teacher Education International Conference (SITE) 2008
Las Vegas, Nevada, USA
March 3, 2008
Karen McFerrin, Roberta Weber, Roger Carlsen & Dee Anna Willis
More Information on SITE
Table of Contents
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.
- Time: A Significant Opportunity Cost of Social Networking and Participating in Online Communities of Practice
- Instructional Design Considerations for Science E-Learning
- Toward a Taxonomy of Distributed Learning Delivery Modes
- The International Handbook Summit Call to Action for Learning with Technology in the 21st Century
- Fostering a Positive Experience in Virtual Teams for Distance Learners
- Usable But Not Entertaining e-Learning Material
- Engaging Teacher Candidates in Online Literature Circles
- Implementing Embedded Assessment to Provide Feedback to Student and Instructor.
- SITE's Digital Fabrication Initative
- The “Corporate University” as Technological and Scientific Support of the Virtual Education in Latin America
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