Good Teaching Starts Here: Applied Learning at the Graduate Teaching Assistant Institute
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Increasingly, graduate teaching assistants serve as the primary instructors in undergraduate courses, yet research has shown that training and development for these teaching assistants is often lacking in programs throughout the United States and Canada. Providing mentoring and skill development opportunities for graduate teaching assistants is vital, as many will become the next generation of faculty. This paper discusses the literature on effective training programs, which underscores the importance of consistent feedback from mentors, intrinsic motivation, and practical applications. Afterwards, we examine an existing training program at the University of North Carolina Wilmington. Specifically, we focus on an institute for teaching assistants that helps graduate students understand applied learning as an effective pedagogical modality and helps them implement applied learning lesson plans tailored to their disciplines. Suggestions for strengthening training programs are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it