The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
EVALUATING ONLINE DISCUSSIONS: FOUR DIFFERENT FRAMES OF ANALYSIS
Open accessAbstract
This study uses four different “frames” to analyze 17 online discussions that occurred in two doctoral level classes in educational leadership. Two of the frames were developmental models: King andKitchener’s Reflective Judgment Model and Perry’s model of intellectual and ethical development. Two of the frames captured levels of thinking: Garrison’s four-stage critical-thinking model and Bloom’s taxonomy of educational objectives. Of the 278 individual postings, 45.3% were at levels five through seven of the King and Kitchener model, 100% were at levels five through nine of the Perry model, 52.2% were at the two highest levels of the Garrison model, and 54.3% were at levels four through six in Bloom’s taxonomy. These results seem appropriate to the level of response expected of doctoral students. For each frame, the analysis resulted in additional findings. The study concludes that each frame has value and focuses attention on different aspects of the student’s thinking as evidenced in his/her posting to an online discussion; however, some frames are more difficult to use than others, which argues for specific training and/or tailoring the topic of discussions to address issues in a particular manner. Lastly, the question initiating each of the online discussions influenced the level of the responses from students. Each frame has the potential to illumine students’ online discussions, although using multiple frames may have more benefit than using any one frame exclusively.
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Cites
Social presence as a predictor of satisfaction within a computer‐mediated conferencing environment
Gunawardena, C. N., & Zittle, F. J. (1997) · American Journal of Distance Education · doi:10.1080/08923649709526970 · Cited by 2,005
Cited by
Researching the community of inquiry framework: Review, issues, and future directions
Garrison, D. R., & Arbaugh, J. B. (2007) · The Internet and Higher Education · doi:10.1016/j.iheduc.2007.04.001 · Cited by 1,653
Content analysis schemes to analyze transcripts of online asynchronous discussion groups: A review
De Wever, B., Schellens, T., Valcke, M., & Van Keer, H. (2006) · Computers & Education · doi:10.1016/j.compedu.2005.04.005 · Cited by 940
Student Engagement in Online Learning: What Works and Why
Meyer, K. A. (2014) · ASHE Higher Education Report · doi:10.1002/aehe.20018 · Cited by 259
Self-citationFuture Foreign Language Teachers' Social and Cognitive Collaboration in an Online Environment
Arnold, N., & Ducate, L. (2006) · Language Learning & Technology · doi:10.64152/10125/44046 · Cited by 257
Does the Community of Inquiry Framework Predict Outcomes in Online MBA Courses?
Arbaugh, J. B. (2008) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v9i2.490 · Cited by 230
Metadata
- Authors
- Meyer, K. A.
- Venue
- Online Learning
- Publisher
- The Online Learning Consortium
- Published
- 2019-03-19
- Volume
- 8
- Issue
- 2
- ISSN
- 1092-8235 (ISSN-L)
- 2472-5730
- 2472-5749
- OpenAlex
- W1021871
- Cited by
- 216
- References
- 1
- FWCI
- 77.26
- Type
- journal article
- Language
- en
- Open access
- diamond
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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