Bibliographic record
Abstract
The education doctorate program fills an essential niche that allows practitioners to earn a doctorate and make a difference in educational practice and policy. However, critics claim EdD programs are failing to effectively prepare students. There has been a push for the reinvention of the EdD which includes improving EdD student confidence in their ability to undertake research. This calls for a redesign of research methods courses and purposefully grounding them in adult learning theory. The framework of transformative learning can foster higher-order learning by including key components such as critical reflection, collaborative dialogue, and awareness of context. This article shares a transformative learning model used to redevelop an EdD research methods course that emphasised self-reflective tasks such as identity memos, research design maps, and cognitive interviews. This learner-centred, constructivist approach resulted in positive learning outcomes including increased student confidence and enhanced practical knowledge and research skills.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.091 | 0.098 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.006 | 0.017 |
| Research integrity | 0.004 | 0.012 |
| Insufficient payload (model declined to judge) | 0.014 | 0.008 |
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 source (direct Gemma or distilled Codex), 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".