The Effect of Student Receptivity to Instructional Feedback on Writing Proficiency among Chinese Speaking English Language Learners
Bibliographic record
Abstract
The purpose of this research study is to discover the degree to which student acceptance of instructor feedback influences developing writing proficiency among Chinese speaking English Language Learners enrolled in an American middle school. This study was designed as a qualitative case study—an approach using in-depth inductive processes to observe and evaluate the receptivity of eighth-grade students to instructor feedback during an extended unit of instruction covering the five-paragraph essay model. The principal results in this study show that students who receive timely feedback and are receptive to this feedback become proficient writers, able to pass a Writing Multiple Measurement Assessment (WMMA), contrary to those who are not receptive to feedback. The author reviews research regarding the importance of structured writing instruction for English Language Learners and tactics writing instructors should consider to strategically provide heeded feedback. This study also recommends practical applications for future research direction.
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How this classification was reachedexpand
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 | 0.072 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".