Co‐operative learning for students with difficulties in learning: a description of models and guidelines for implementation
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
As part of a larger study regarding the inclusion of children with disabilities in mainstream classroom settings, Ellen Murphy, of the D Clin Psych programme at NUI Galway, with Ian Grey and Rita Honan, from Trinity College, Dublin, reviewed existing literature on co‐operative learning in the classroom. In this article, they identify four models of co‐operative learning and specify the various components characteristic of each model. They review recent studies on co‐operative learning with the aim of determining effectiveness. These studies generally indicate that co‐operative learning appears to be more effective when assessed on measures of social engagement rather than academic performance. Finally, Ellen Murphy, Ian Grey and Rita Honan present their account of the factors that contribute to the successful implementation of co‐operative learning for students with difficulties in learning.
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 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 it