Development and Implementation of a Reflective Writing Assignment for Undergraduate Students in a Large Public Health Biology Course
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
Reflective writing may be undervalued as purely expressive rather than a critical or an academic tool in undergraduate public health biology courses. When grounded in course concepts and academic learning, a reflective essay can be a learning tool for students that helps them use discipline knowledge and apply it to real-world issues. Studies on teaching reflection have identified its value for training students in critical thinking and improving self-regulated learning. Considering Gibbs’ Reflective Cycle framework, in this article, we detail the design, implementation, and evaluation of a reflective writing assignment integrated into a lower-year undergraduate public health biology course. Through the design and implementation of the reflective writing assignment, four key lessons are drawn. First, reflective writing assignments facilitate learning and course enjoyment. Second, writing workshops improve the quality of reflective writing assignments. Third, a detailed grading rubric clarifies expectations for students and creates consistency in grading. Fourth, reflective writing assignments can help teachers effectively evaluate how students apply the knowledge gained from the course to promote personal and community health. By implementing the reflective assignment, we have created a narrative on how reflective writing could maximize learning in public health pedagogy and provided recommendations and lessons for course designers and instructors to consider in light of Gibbs’ Reflective Cycle framework.
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 | 0.013 | 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 | 0.000 | 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