Professional Learning Through Video: Reflection of a Pre-Service Teacher One Year On
Bibliographic record
Abstract
The research presented in this paper investigates a pre-service teacher’s reflection on professional learning using the medium of video. To promote a reflective activity, we invited the pre-service teacher—now a titular teacher—to comment on their activity while remarking on a recording of one of their lessons conducted one year earlier. The lesson was performed in a professional high school, followed by a meeting with the teacher and a university tutor. Quali-quantitative analysis was used to analyse the data--where the teacher’s reflections emerged during their viewing of the lesson—to trace the typology of the comments of the pre-service teacher, and the topics of the reflection. The analysis highlights the dimensions of reflective activity, which can be a reflection of the professional learning of the pre-service teacher in one year. This study provides useful information in describing the process of professional learning and, at the same time, supports the integration of video into pre-service teacher training as a tool of reflection.
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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 | 0.004 | 0.066 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".