A Science and Technology Society Model to Enhance Critical Thinking Social Studies Students in Indonesia
Bibliographic record
Abstract
The background of the problem in this study is the low critical thinking of students in class VIII B Og 10th Public Junior High School Yogyakarta, Indonesia. The aim is to improve student learning outcomes using the Science Technology Society learning model. This type of research is classroom action research conducted in two cycles. Each cycle consists of four stages: action planning, action, observation, and reflection. The results of this study indicate an increase in the value of student learning outcomes with a minimum completeness criterion of 70. As seen from students before the action, out of 34 students in class VIII B, only 11 students reached minimum completeness criteria, with a 32% percentage. Then, the action in cycle I to 23 students reached the minimum completeness criteria with a percentage of 67.65%. In cycle II, learning outcomes have increased, namely reaching minimum completeness criteria 27 students with a percentage of 79.41%. The conclusion is that the use of the Science Technology Society learning model can improve students' critical thinking in social studies subjects.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".