Partnership Instructional Coaching and Biography-driven Instruction: Enhancing EFL Teacher Effectiveness
Bibliographic record
Abstract
This quasi-experimental study examined the impact of Partnership Instructional Coaching (PIC) combined with Biography-Driven Instruction (BDI) on English as a Foreign Language (EFL) teachers’ practices and third-grade emergent bilinguals’ language proficiency in Ecuador. Involving six EFL teachers and 178 students across four private schools, the study used pre- and post-tests (Pre-A1 Starters) to measure proficiency in reading, writing, listening, and speaking. The coached group (PIC+BDI) showed a 20% greater improvement in speaking and 15% in vocabulary compared to the BDI-only group, with a significant interaction effect (F(1,80)=39.22, p<.001, ηp²=0.33). BDI, leveraging teachers’ cultural and linguistic backgrounds, proved effective, with coaching amplifying outcomes through targeted feedback. This suggests PIC+BDI is a robust approach for EFL contexts, particularly when tailored to teachers’ biographies.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".