Bibliographic record
Abstract
<div class="abstract_container"> <strong>Abstract:</strong> This study investigated an online course in which groups of four students were used to lead online discussions. The teams were examined for their ability to bring instructional design, discourse facilitation, and direct instruction to the discussions. The setting was a graduate-level communications networks course delivered asynchronously to a cohort group of 17 adults enrolled for professional development education. Interviews, questionnaires, and content analyses of the discussion transcripts indicate that the peer teams fulfilled each of the three roles and valued the experience. Students preferred the peer teams to the instructor as discussion leaders and reported that the discussions were helpful in achieving higher order learning objectives but could have been more challenging and critical. </div> <p class="editors_container"> <strong>Editors:</strong> <A href="http://www.upei.ca/~fac_ed/faculty/Xiufeng/index.htm">Xiufeng Liu</A> (U. Prince Edward Island, CA) <p class="reviewers_container"> <strong>Reviewers:</strong> <A href="http://www.upei.ca/~fac_ed/faculty/Martha/index.htm">Martha Gabriel</A> (U. Prince Edward Island, Canada), <A href="http://www.fp.ucalgary.ca/hunter/">William Hunter</A> (U. Calgary, Canada), <A href="http://sstweb.open.ac.uk:8282/oubs/gilly/">Gilly Salmon</A> (Open U., UK)
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".