Bibliographic record
Abstract
Student evaluations are commonly used to evaluate teaching effectiveness. Nonparticipant observation uses individuals who are not a part of the learning process but rather are observers who can formulate observations about the teaching encounter, possibly with less bias than student evaluators. The purpose of this article is to analyze reports by inexperienced nonparticipant observers of faculty classroom teaching episodes. The hypothesis was that veterinary faculty have common characteristics in their classroom teaching that are observable by nonparticipant observers and that these are similar to characteristics observed historically by student evaluators. This study is a qualitative document analysis of written observations made by senior veterinary students attending pre-clinical classroom lectures by a faculty member. Each written report was analyzed using thematic concept analysis, and the researchers met multiple times throughout the process to discuss the analysis and develop conclusions about themes that were encountered consistently among observations. Common emergent themes included information formats, PowerPoint presentations, timing, organization, student engagement, and delivery. Nonparticipant observers may contribute valuable data that may enhance faculty development in pedagogy. Observations may serve to augment data from student evaluations, self-reflection, and peer assessment.
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.
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 | 0.005 | 0.016 |
| 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 | 0.000 |
| 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".