Enhancing of Student Collaboration in Thinking, Pairing, and Sharing on Energy Conversion Learning
Bibliographic record
Abstract
This study aims to improve collaboration in thinking, pairing, and sharing of students in energy conversion learning. This study experimented with the think pair and share (TPS) type of cooperative method to get improvements in terms of activity and cooperation. The procedure of the study adopted the classroom action research of the Kemmis & Taggart model covering the stages of planning, implementation, observation and reflection. Data collection techniques using observation and documentation. The results showed that the application of the cooperative learning model type TPS method was able to increase collaboration in thinking, pairing, and sharing as evidenced by the results of observations of each cycle which increased the first cycle of 12.5% for activeness and 25% for collaboration, the second cycle of 78,1% for activeness and 53.1% for cooperation, and third cycle of 96.9% for activeness and 100% for cooperation. It shows that the application of TPS is useful to be applied in energy conversion learning. Also, this research may need to be continued in other engineering courses which are dominated by theory and practicum.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".