Investigating Pre-service EFL Teachers’ Self-concepts within the Framework of Teaching Practicum in Turkish Context
Bibliographic record
Abstract
The present study aimed at understanding the nature and potential dynamism of five pre-service EFL teachers’ self-concepts in the domain of English as a foreign language (EFL). To this end, the effects of pre-service teachers’ experiences gained alongside the practicum on their EFL self-concept development were also discussed. Data were generated in a case study research paradigm using journal entries and in-depth interviews. The major themes derived from the analysis of the data were indicative of pre-service teachers’ self-beliefs which profoundly affected their EFL self-concept development. These included the passion for English, the use of L1 and L2 in language teaching, and the critical experiences that the pre-service teachers had during the practicum. It was shown how the practicing teachers’ EFL self-beliefs can at once be dynamic and also stable, depending on the type of beliefs investigated. The study concludes by suggesting the need to help EFL pre-service teachers to form positive but realistic self-concepts within the framework of EFL teacher training.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".