Unordinary: An evaluation of lecture-free activities using a repertory grid
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
Lecture-free activities afford students with an engaging approach to knowledge acquisition and integration. When peppered throughout a course, experiential activities inject spontaneity, break up familiar patterns, and empower students to take responsibility of their learning. For an instructor, iteration is required to develop effective lecture-free engineering activities, necessitating thoughtful evaluation. The paper adopts Kelly's personal constructs theory, using repertory grid analysis to consider the effectiveness of six unordinary, lecture-free activities. Through a structured comparison of activities, 29 constructs were elicited with inherently subjective, dichotomous poles. The grid was populated ranking each activity between the poles of each construct such as directed learning or creative expression. Using a cluster analysis and descriptive statistics, various themes emerged revealing the author's preference, and connections between seemingly unrelated constructs such as how summative actives use the entire building whereas formative activities are in the classroom. Recommendations are made to generalize the tool to aid instructors in activity evaluation and development through understanding and challenging existing patterns.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it