A Qualitative Case Study of EFL Students’ Affective Reactions to and Perceptions of Their Teachers’ Written Feedback
Bibliographic record
Abstract
The present paper reports a qualitative case study of investigating EFL students’ affective reactions to and perceptions of their teachers’ written feedback. In addition, the study reported here also focuses on contextual factors that may influence students’ reactions to and perceptions of their teachers’ written feedback. Data were collected using multiple methods that included semi-structured interviews, think-aloud protocols, teachers’ written feedback, and students’ written essays. Results of data analysis revealed that EFL students showed some variations in their affective reactions to their teachers’ written feedback. The students perceived their teachers’ written feedback as useful and very important for the development of their writing skills. The students wanted their teachers to focus on all aspects of written texts when they provide written feedback. Contextual factors such as students’ past experience, teachers’ wording of written feedback, students’ acceptance of teachers’ authority, and teachers’ handwriting have their impact on EFL students’ affective reactions to and perceptions of their teachers’ written feedback
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".