“Being patient through the quiet”: Partnering in problem-based learning in a graduate seminar
Bibliographic record
Abstract
This paper draws connections between scholarship on problem-based learning (PBL) and Students as Partners to frame a case study from a graduate seminar in Public Rhetorics for Social Change. Students partnered with each other and the instructor to decide on a public project, approaching the partnership as a pedagogical problem to explore, discuss, and collaboratively define. Drawing on student and teacher reflections about the partnership, the study’s findings highlight important themes about partnering with students: partnering with students may result in uncertainty and discomfort, takes time, values different perspectives, and can make teachers and students vulnerable to each other. Responding to a phrase from one student’s reflection—“being patient through the quiet”—the study argues that patience and quiet are necessary for supporting a successful partnership with students but that caution is needed to prevent dominant narratives from silencing marginalized student perspectives.
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| Open science | 0.001 | 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".