Investigating the Effectiveness of Peer Reviewing in a Moroccan University EFL Writing Class
Bibliographic record
Abstract
Although the effectiveness of peer reviewing has been established in some second language (L2) and foreign language (FL) writing contexts, its effectiveness in the Moroccan EFL context remains unexplored. The present paper reports on a quasi-experimental study designed to investigate the effectiveness of peer reviewing activity in Ibn Zohr University in Agadir, Morocco. The study aimed at (a) examining the effect of peer reviewing on the writing quality of the students’ revised drafts, (b) evaluating the validity and relevance of feedback provided by peers, (c) and surveying the students’ perceptions and attitudes towards the peer reviewing activity. Participants were 60 Moroccan freshmen who were enrolled in a spring semester composition course. The participants had been taught a twelve-session paragraph writing course, during which they received instruction and training on peer feedback practice. A pre-test post-test research design was used to collect data, which included the first drafts of participants’ paragraphs, their revised drafts, the written comments and suggestions provided in checklists, and the participants’ responses to a post-task questionnaire. The findings of both quantitative and qualitative analyses showed that peer reviewing is an effective activity in the Moroccan university EFL context: the paired t-test results revealed that significant improvements ( p <.005) were made in the revised drafts; the quantitative analysis of the completed checklists proved the participants’ ability to provide valid feedback, and the qualitative analyses of the questionnaire revealed a general acceptance of peer reviewing as a useful and appropriate pedagogical activity for Moroccan university students. The findings of the study are interpreted with regard to some limitations it involves as well as some research areas that need to be investigated by future studies.
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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 | 0.010 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".