“COVID-19 is an Opportunity to Rediscover Ourselves”: Reflections of a Novice EFL Teacher in Central America
Bibliographic record
Abstract
This article presents a case study that examined the principles and practices of one novice English as a foreign language (EFL) teacher at a prominent English language institution in Central America. This qualitative study sought to contribute to the discussion of the perceived interdependent influences of EFL teachers’ thoughts, identities, and behaviors through five stages of self-reflection in Farrell’s framework for reflective practice. The EFL teacher engaged in conscious reflection to subject their beliefs to critical analysis and interpretation expressed through their philosophy, principles, theory, practice, and beyond practice. Overall, the findings confirm that reflections in all five stages are connected to several common themes, but simultaneously reveal a complex relationship between the teacher’s stated principles and actual practice. The discussion explores potential reasons for convergence and divergence in teachers’ beliefs and classroom actions, concluding that the results correlate with previous research in the field of language education and teacher reflection.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.018 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.002 | 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".