Effects of teacher-implemented explicit writing instruction on the writing self-efficacy and writing performance of 5th grade students
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
Meta-analyses indicate that explicit writing instruction (EWI) is an effective method for improving student writing self-efficacy and writing performance. EWI relies on explicit instruction of writing strategies through modeling, scaffolding and self-regulation. Most EWI-based interventions have been conducted by researchers, generally with subgroups of students or on a one-on-one basis, and very few have been conducted in other languages than English. Our quasi-experimental study aims to address these limits by testing EWI’s effects when teachers themselves intervene using peer feedback during the writing of opinion letters. We used practice-based professional development to teach teachers how to use EWI, and compared two experimental conditions (EWI with and without peer feedback) to a control group (Business as Usual). A total of 483 French-speaking 5th grade students participated in the study. Results from repeated measure analyses showed that, with or without peer feedback, the EWI intervention produced better writing performance and higher self-efficacy compared to the control group. We discuss the role of EWI for writing performance and self-efficacy.
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 | 0.020 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it