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Cited by 254

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Review of distance education research (2000 to 2008): Analysis of research areas, methods, and authorship patterns

Open access
Zawacki-Richter, Olaf, Baecker, Eva Maria, Vogt, Sebastian·2009·The International Review of Research in Open and Distributed Learning

Abstract

This paper presents a review of distance education literature to describe the status thereof and to identify gaps and priority areas in distance education research based on a validated classification of research areas. The articles (N = 695) published in five prominent distance education journals between 2000 and 2008 were reviewed for this study. The conclusion is that distance education research is strongly dominated by issues related to instructional design and individual learning processes; whereas, other important areas (e.g., innovation and change management or intercultural aspects of distance learning) are dreadfully neglected. There is a significant trend towards collaborative research and more qualitative studies. Over 80% of all articles originate from only five countries.

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Metadata

Authors
Zawacki-Richter, O., Baecker, E. M., & Vogt, S.
Venue
The International Review of Research in Open and Distributed Learning
Published
2009-12-23
Volume
10
Issue
6
Pages
21
ISSN
1492-3831 (ISSN-L)
OpenAlex
W1570292026
Cited by
254
References
2
FWCI
49.29
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Review of distance education research (2000 to 2008): Analysis of research areas, methods, and authorship patterns. https://app.cochat.ai/papers/10.19173/irrodl.v10i6.741
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Zawacki-Richter, O., Baecker, E. M., & Vogt, S. (2009). Review of distance education research (2000 to 2008): Analysis of research areas, methods, and authorship patterns. The International Review of Research in Open and Distributed Learning. https://doi.org/10.19173/irrodl.v10i6.741

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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.