The Interdisciplinary Approach of the Content “Transformation of Energy” in High School
Bibliographic record
Abstract
The professional high school by the federal schools in Brazil requires an integrated curriculum itinerary. There is a lack of information about how to achieve that in a practical conception of integration. This article aimed to investigate the interdisciplinary approach of the content “transformation of energy” involving the relationship among Science, Technology, Society, and Environment (STSE) in integrated high school. The applied research procedure was a pedagogical intervention in which research subjects were the third year high school students, integrated into the technical course in food (n = 36) at the Federal Institute of Rio Grande do Norte, municipality of Pau dos Ferros, Brazil. The process of planning, execution, and evaluation of the interdisciplinary teaching sequence was carried out by teachers and researchers from different areas i.e., forest engineering, chemistry, phisycs, and physical educational. The data were compiled and evaluated through thematic analysis. The results showed that interdisciplinary learning favors scientific and environmental literacy, conceptual changes, expanded discussions, and the integration of the curriculum.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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".