Instructors' Conceptions of Reflective Learning: A Phenomenographic Study
Bibliographic record
Abstract
Reflective learning has been considered an important learning experience in higher education because of its value for personal and professional self. Despite the potential benefits, there is diverse interpretation of the meaning and process of reflective learning. Theoretical frameworks and models that purport to explain what it entails abound; however, there is a dearth of research that explores conceptions from the perspective of instructors. This study examined university instructors’ conceptions of reflective learning in the context of education courses. Semi-structured interviews were employed to collect data from 32 instructors who consented to participate. The interviews were transcribed, segmented, coded and compared. Our phenomenographic analysis resulted in four qualitatively different conceptions of reflective learning: critical engagement with content, improving professional practice, identity development, and developing critical consciousness. The study has implications for faculty development and research on reflective learning.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".