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Landscape Characterization of Mobile Learning Research Using a Text Mining Methodology
PROCEEDINGS

, , , University of North Texas, United States

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Las Vegas, NV, USA ISBN 978-1-939797-05-6 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

Abstract

This article presents a text-mining methodology to discriminate salient descriptors and characterize research themes on particular topics across longitudinal data sets. The importance of theme characterization is that it provides attributes that can be used to track down themes across disciplinary boundaries. This study demonstrates how to use the methodology to map out the research on mobile learning (the theme).

Citation

Angnakoon, P., Oyarce, G. & Meesumrarn, T. (2013). Landscape Characterization of Mobile Learning Research Using a Text Mining Methodology. In T. Bastiaens & G. Marks (Eds.), Proceedings of E-Learn 2013--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 1716-1720). Las Vegas, NV, USA: Association for the Advancement of Computing in Education (AACE). Retrieved August 15, 2020 from .

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