‘Making’ as a catalyst for reflective practice
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
Within the research and teaching program of maker pedagogy(TM), this study analyzes how teacher candidates construct knowledge about teaching and teaching with technology. The study applies an experiential-intuitive framework of reflective practice and takes cues from critical thinking to analyze the participants' interactions in a maker pedagogy lab. Schön's conception of reflection drove the data collection and analysis of participants who were asked to reflect on their experiences gained in the maker pedagogy lab. The researchers argue that the maker pedagogy lab provides participants with a way to understand their teaching practice. The results demonstrate that the maker projects enabled teacher candidates to engage in exploratory and hypothetical talk about how they are thinking about teaching and learning, particularly with technology. Furthermore, the researchers uncovered that teacher candidates' prior knowledge and frames of reference affect their making experiences and their developing identities as science and technology teachers.
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 | 0.004 | 0.059 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.007 |
| Open science | 0.002 | 0.001 |
| 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