Supporting teacher candidates’ multidimensional reflection: a model and a protocol
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 conceptual paper, we present a professional practice-oriented Multidimensional Model of Reflective Practice (MMRP) and a Critical Incident Reflection (CIR) protocol as worthwhile tools for supporting teacher candidates (TCs) to become more self-directed, multi-faceted, and holistic in their reflective practice. The model presents reflection as a complex endeavor situated in a dynamic milieu. It emphasizes the complementary nature of professional competencies of knowledge, skills, and disposition, and the interrogation of an incident through technical, contextual, and critical reflection as well as reflection-in, -on, and -for-action. The CIR protocol provides scaffolding support for TCs as they move toward becoming independent reflective practitioners. Together, the MMRP and CIR protocol facilitate multidimensional reflection. We present a case for providing a more deliberate support for reflection. In doing this, we define reflection, highlight its common frameworks, and discuss the significance of intentional and systematic reflection on professional competencies. In the conclusion, we bring these ideas together to discuss the implications for a self-directed and agentic approach to reflection and professional growth.
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 | 0.002 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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