An Update on the Use of Peer Tutoring and Students with Emotional and Behavioural Disorders
Bibliographic record
Abstract
This article presents an update of the research on the use of peer tutoring and students with emotional and behavioural disorders (EBD). Nine studies from 2001 to 2007 were identified in which students with EBD served as tutors and/or tutees to teach their peers academic and social behaviours. Five of these studies included elementary students, two included middle school students, and two in-cluded high school students. Only one study (i.e., Tournaki & Criscitiello, 2003) was implemented in the general education classroom. Peer tutoring continues to be implemented across levels of schooling with the majority of research being conducted at the elementary level in reading with continued secondary interests on the effects of behavioural issues and social skills. Clearly, there is still a need for this intervention to be validated in the middle and secondary classrooms, but specifically, with students with EBD in the general education setting.
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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 | 0.007 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.009 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".