The impact of course duration on the development of a community of inquiry
Bibliographic record
Abstract
This study investigated the effect of time on the development of a community of inquiry by examining an online course offered over two different time periods. The study was guided by the Community of Inquiry (CoI) framework (Garrison, Anderson, & Archer, The Internet and Higher Education 2000 Garrison, D. R., Anderson, T. and Archer, W. 2000. Critical inquiry in a text-based environment: Computer conferencing in higher education. The Internet and Higher Education, 2(2–3): 87–105. [Crossref] , [Google Scholar]; 2(2–3): 87–105). The focus was on a graduate level education course, the topic of which was blended learning. The course was given by the same instructor in a 13‐week fall semester and a 6‐week spring term. Transcript analysis of weekly online discussions and the CoI Survey were used to explore the differences between the short-term and long-term versions of this course in terms of each measure of CoI presence (social, teaching and cognitive presence). The findings showed differences between the short-term and long-term versions of this course in terms of the development of each presence and students' perceptions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.081 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".