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Cited by 208

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Trends of e‐learning research from 2000 to 2008: Use of text mining and bibliometrics

Hung, Jui‐long·2012·British Journal of Educational Technology

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.

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Metadata

Authors
Hung, J.
Venue
British Journal of Educational Technology
Publisher
Wiley
Published
2010-12-02
Volume
43
Issue
1
Pages
5-16
ISSN
  • 0007-1013 (ISSN-L)
  • 1467-8535
OpenAlex
W1480031683
Cited by
208
References
1
FWCI
17.17
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Trends of e‐learning research from 2000 to 2008: Use of text mining and bibliometrics. https://app.cochat.ai/papers/10.1111/j.1467-8535.2010.01144.x
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Hung, J. (2012). Trends of e‐learning research from 2000 to 2008: Use of text mining and bibliometrics. British Journal of Educational Technology. https://doi.org/10.1111/j.1467-8535.2010.01144.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.