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Cited by 280

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Design and Use of a Rubric to Assess and Encourage Interactive Qualities in Distance Courses

Roblyer, M. D., Wiencke, W. R.·2003·American Journal of Distance Education

Abstract

Distance learning theory and research holds that interaction is an essential characteristic of successful distance learning courses. However, the lack of definition as to what constitutes observable, measurable interactive qualities in distance learning courses has prevented transfer from theory and research to design practices and has hindered research on ways to improve interactive qualities of courses. In this article the authors describe how findings from theory and research were used to develop a rubric for assessing interactive qualities in distance courses. The rubric is presented, along with data from formative uses of the instrument in distance learning courses. Current and anticipated applications of the rubric include use by students as part of postcourse evaluations and by researchers and instructors as a tool to allow more meaningful examination of the role of interaction in enhancing achievement and student satisfaction in distance learning courses.

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Metadata

Authors
Roblyer, M. D., & Wiencke, W. R.
Venue
American Journal of Distance Education
Published
2003-06
Volume
17
Issue
2
Pages
77-98
ISSN
  • 0892-3647 (ISSN-L)
  • 1538-9286
OpenAlex
W2005668010
Cited by
280
References
36
FWCI
69.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Design and Use of a Rubric to Assess and Encourage Interactive Qualities in Distance Courses. https://app.cochat.ai/papers/10.1207/s15389286ajde1702_2
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Roblyer, M. D., & Wiencke, W. R. (2003). Design and Use of a Rubric to Assess and Encourage Interactive Qualities in Distance Courses. American Journal of Distance Education. https://doi.org/10.1207/s15389286ajde1702_2

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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.