A Pilot Study of Supporting GTA Professional Development and Educator Identity in Engineering
Bibliographic record
Abstract
Graduate teaching assistants (GTAs) significantly contribute to the learning and experiences of undergraduate students. Thus, supporting and enhancing GTA pedagogical knowledge and competencies can improve the learning experiences of undergraduates. Towards this goal, a discipline-specific pedagogical professional development program was created for GTAs in the Faculty of Engineering at a Canadian university. This case study explores the perspectives of participating GTAs, including how they engaged in learning about teaching, what they learned, their emerging educator identity formation, and the challenges they faced during the program. Situated learning theory informed the analysis of participant interviews and focus groups. Findings indicate that GTAs appreciated the situated and embedded nature of the program, reporting limited prior familiarity with pedagogical tools and practices and their application. Results also highlight the need to align GTA roles and responsibilities, providing opportunities to put their learning into practice with the pedagogical knowledge they developed in the program.
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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 | 0.025 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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".