This study investigated the longitudinal trends of e-learning research using text mining techniques. Six hundred and eighty-nine (689) refereed journal articles and proceedings were retrieved from the Science Citation Index/Social Science Citation Index database in the period from 2000 to 2008. All e-learning publications were grouped into two domains with four groups/15 clusters based on abstract analysis. Three additional variables: subject areas, prolific countries and prolific journals were applied to data analysis and data interpretation. Conclusions include that e-learning research is at the early majority stage and foci have shifted from issues of the effectiveness of e-learning to teaching and learning practices. Educational studies and projects and e-learning application in medical education and training are growing fields with the highest potential for future research. Approaches to e-learning differ between leading countries and early adopter countries, and government policies play an important role in shaping the results.
%0 Journal Article
%1 BJET:BJET1144
%A Hung, Jui-long
%D 2012
%I Blackwell Publishing Ltd
%J British Journal of Educational Technology
%K e-learning text_mining
%N 1
%P 5--16
%R 10.1111/j.1467-8535.2010.01144.x
%T Trends of e-learning research from 2000 to 2008: Use of text mining and bibliometrics
%U http://dx.doi.org/10.1111/j.1467-8535.2010.01144.x
%V 43
%X This study investigated the longitudinal trends of e-learning research using text mining techniques. Six hundred and eighty-nine (689) refereed journal articles and proceedings were retrieved from the Science Citation Index/Social Science Citation Index database in the period from 2000 to 2008. All e-learning publications were grouped into two domains with four groups/15 clusters based on abstract analysis. Three additional variables: subject areas, prolific countries and prolific journals were applied to data analysis and data interpretation. Conclusions include that e-learning research is at the early majority stage and foci have shifted from issues of the effectiveness of e-learning to teaching and learning practices. Educational studies and projects and e-learning application in medical education and training are growing fields with the highest potential for future research. Approaches to e-learning differ between leading countries and early adopter countries, and government policies play an important role in shaping the results.
@article{BJET:BJET1144,
abstract = {This study investigated the longitudinal trends of e-learning research using text mining techniques. Six hundred and eighty-nine (689) refereed journal articles and proceedings were retrieved from the Science Citation Index/Social Science Citation Index database in the period from 2000 to 2008. All e-learning publications were grouped into two domains with four groups/15 clusters based on abstract analysis. Three additional variables: subject areas, prolific countries and prolific journals were applied to data analysis and data interpretation. Conclusions include that e-learning research is at the early majority stage and foci have shifted from issues of the effectiveness of e-learning to teaching and learning practices. Educational studies and projects and e-learning application in medical education and training are growing fields with the highest potential for future research. Approaches to e-learning differ between leading countries and early adopter countries, and government policies play an important role in shaping the results.},
added-at = {2015-02-09T03:33:12.000+0100},
author = {Hung, Jui-long},
biburl = {https://www.bibsonomy.org/bibtex/271dc3ed52097c577961a301b513e4841/jennymac},
doi = {10.1111/j.1467-8535.2010.01144.x},
interhash = {60b1928ed1b777dcaa9b426611313b20},
intrahash = {71dc3ed52097c577961a301b513e4841},
issn = {1467-8535},
journal = {British Journal of Educational Technology},
keywords = {e-learning text_mining},
number = 1,
pages = {5--16},
publisher = {Blackwell Publishing Ltd},
timestamp = {2015-02-09T03:33:12.000+0100},
title = {Trends of e-learning research from 2000 to 2008: Use of text mining and bibliometrics},
url = {http://dx.doi.org/10.1111/j.1467-8535.2010.01144.x},
volume = 43,
year = 2012
}