Working Smarter, Not Working Harder: Revisiting Teacher Feedback in the L2 Writing Classroom
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Although second language (L2) teachers spend a significant amount of time marking students’ writing, many of them feel that their efforts do not pay off. While students want teachers to give them feedback on their writing and value teacher feedback, they might experience feelings of frustration and confusion once they receive it. What is amiss in L2 writing teachers’ feedback practices? The present article is predicated on the belief that if teachers are to improve the effectiveness of conventional feedback practices, they have to challenge taken-for-granted assumptions and problematize their current practices. Using teacher feedback data from 26 English teachers from Hong Kong and interview data from six of them, the present article analyzes the problems that underlie teachers’ feedback practices, discusses alternative approaches, and concludes with recommendations to help teachers maximize the formative potential of feedback.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it