A faculty member learning with and from an undergraduate teaching assistant: Critical reflection in higher education
Bibliographic record
Abstract
This case study describes a student-faculty partnership between an undergraduate teacher education student and a faculty member of teacher education. This faculty-centric partnership aimed to enhance the faculty member’s critical reflection on his pedagogy in an introduction to teacher education course. In this jointly-written article, we offer student and faculty insights about the process we employed, the outcomes of our teaching and learning together, and the complexities of student-faculty working relationships stemming from power dynamics. We also provide recommendations for faculty and students looking to engage in collaborations. These recommendations center on defining partner roles, using video recordings, and addressing power dynamics between students and faculty within higher education. Drawing from our experience, we suggest that student-faculty partnerships are one fruitful avenuefor improving the quality of instruction in higher education. They require minimum financial resources and can enhance faculty pedagogy, which will benefit current and future students.
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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 | 0.017 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.014 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.004 | 0.012 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".