Reflective Group-Based Peer Teaching for Up-Scaling Student Teachers’ Pedagogical Literacy
Bibliographic record
Abstract
This study attempted to investigate how the implementation of Reflective Group Peer Teaching (RGBPT) up-scaled the pedagogical literacy of English student teachers. The study belongs to a case study method that tried to explore and describe to what extent the application of reflective-based Peer Teaching (RGBPT) could promote the pedagogical literacy of English student teachers. The pedagogical literacy development highlighted in the study covers three aspects, namely learning materials development, effective teaching strategies, and students’ learning autonomy to promote interactive ELT. The participants involved in the study were English student teachers who joined the Micro Teaching Course. The results showed that Reflective Group-Based Peer Teaching (RGBPT) has up-scaled the pedagogical literacy of English student teachers in the aspects of learning material development, effective teaching strategies, and learning autonomy development. This study potentially contributes to increase the ability of student teachers to comprehend, reflect on, and implement pedagogical knowledge and skills to improve instructional efficacy.
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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 | 0.009 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".