Illuminating Transformative Learning/Assessment: Infusing Creativity, Reciprocity, and Care Into Higher Education
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 this article, the authors speak to the paradox of assessing transformative learning (TL) in higher education. TL theory, developed by Jack Mezirow, is a theory of learning to describe the process of change in how individuals view the world based on previous experiences. Recognizing that the 10 phases of Mezirow’s TL theory are fluid and intertwined, three prominent aspects resonated within the individual narratives: the importance of a disorienting dilemma, the qualities of self-reflection, and liberatory actions. By exploring the complexities, challenges, and possibilities encountered in their classrooms, the shared narratives reveal how students were engaged in TL and embedded within are holistic assessment processes the authors enacted with learners. Throughout this dialogical narrative inquiry focused on assessment, the authors underwent their own TL in the presence of each other, confessing uncertainties and vulnerabilities, thus showcasing the potential to transform understanding with and through reciprocal learning.
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 | 0.001 | 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 | 0.002 |
| 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