Finding New Paths: Leveraging the Scholarship of Teaching and Learning for Enhanced Librarianship
Bibliographic record
Abstract
The Scholarship of Teaching and Learning (SoTL) can offer new ways for librarians to consider and study our practice, suggest new partners in classroom-based research, provide new opportunities for dissemination, and lead to better integration of our work and expertise within academia. There are strong parallels between SoTL and information literacy (IL) research and the fields have much to offer each other. The SoTL literature offers a broad range of discipline-based methods that may spark ideas for investigating student learning and research that can inform our teaching. The presenters will review SoTL basics, and ask participants to scan recent SoTL research and discuss ways to adapt ideas from these studies to their own teaching and research work. We will conclude by sharing ideas on how librarians can get started in their own SoTL work or partner with other faculty who are conducting pedagogical research.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| 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".