The Contribution of Computer-Supported Collaborative Learning to the Development of Collaboration Between Students: Results of Pilot Implementation in Greek Secondary Education
Bibliographic record
Abstract
The main purpose of this survey is to explore whether Computer-Supported Collaborative Learning (CSCL) constitutes a good practice in the teaching of Literature in Lyceum and in the cross-curricular approach of the specific subject. More specifically, the contribution of the digital platform web 2.0, wiki pbworks – along with the use of subsidiary software applications – is explored in the promotion of collaborative learning and the special skills it develops among students. The method that was used is the field experiment, working both with an experimental group (25 students) and with a control group (25 students). The outcome of the findings, regards the promotion of collaborative learning, the formation of a more positive attitude towards collaboration proved to be successful with regard to the use of Computer-Supported Collaborative Learning and the application of the digital platform of collaboration web 2.0, wiki pbworks.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".