The Reflections of the English Language Teaching Department Students on Internship Programs: A Case of Erbil
Bibliographic record
Abstract
Practice teaching for pre-service teachers is a crucial affair before starting their carrier. It is considered one of the fundamental elements of whole teaching programs of education faculties since the teacher candidates find the opportunities to observe and practice their theoretical knowledge through practice teaching programs in schools. Within this context, the present research sought to reveal the reflections of the education faculty’s seniors on practice teaching course utilizing both qualitative and quantitative methods. A private university’s English Language Teaching department’s seniors in Erbil were selected by convenience sampling as research sample, and 31 students participated in the questionnaire. A semi-structured survey used for this study including the parts of demographics, knowledge, skills and dispositions, field experiences and practice teaching, quality of instruction and two open-ended questions. The results indicated that most of the students expressed their positive reflections on their internship program. They believe the internship programs enable them to enhance their teaching skills and prepare them for real classroom atmosphere before graduation.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".