Becoming partners: Faculty come to appreciate undergraduates as teaching partners in a service-learning teaching assistant program
Bibliographic record
Abstract
This study examined the relationships between faculty and their teaching assistants in an undergraduate teaching assistant program developed at Northeastern University in the US to ease the challenges faculty faced in incorporating Service-Learning into their teaching. Feedback from faculty suggested that the undergraduates trained to assist them with purely logistical tasks were becoming partners in teaching. To explore the relationship between faculty and their teaching assistants and better understand how the faculty may have come to view the teaching assistants as partners, we conducted in-depth interviews with faculty across a range of academic disciplines and experience levels who had worked with one or more undergraduate teaching assistants. The data revealed that while the faculty participants did appreciate receiving logistical assistance with Service-Learning, they also benefited from partnering with students as colleagues who supported their teaching more broadly. We also found that faculty viewed the partnership in different ways depending on their level of experience with Service-Learning pedagogy.
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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 | 0.004 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".