Open Pedagogy Benefits and Challenges: Student Perceptions of Writing Open Case Studies
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
In recent years there have been several studies reviewing the benefits and challenges of open pedagogy projects for student engagement and learning. This study adds to that literature by reporting on a survey of students who wrote case studies in three courses in forestry and conservation studies, most of whom agreed to publish publicly and with a Creative Commons license. Our results indicate that many students felt more motivated and engaged in the open pedagogy assignments compared to traditional assignments. Many also reported putting more effort into their assignment to ensure its accuracy and usefulness to others. In addition to improved understanding of copyright and citation practices, students learned how to translate knowledge for a broader audience and demonstrated an increased awareness of scholarly integrity. Still, a number of students reported increased stress with this assignment. We conclude with some recommendations to support students in such projects while reducing stress.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.004 | 0.016 |
| 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