A Comparative Investigation of Environmental Literacy Dimensions in Science Curricula of Several Countries
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
Environmental education is necessary to prevent environmental problems. It is useful to analyze the curricula in order to understand the importance given to environmental education. In this study, it was aimed to examine the learning outcomes in Türkiye, Canada (Ontario), Australia, USA (Massachusetts) and England primary science curricula in terms of environmental education and to analyze and compare them according to the dimensions of environmental literacy which are formed knowledge, cognitive skills, affect and behavior. This study was a qualitative study, and the data were collected through document analysis and analyzed through content analysis. In the comparisons made according to the number of environmental outcomes, it was observed that the highest number of outcomes was present in the curriculum of Canada, while the lowest number of outcomes was present in the curriculum of England. All dimensions were found in all curricula except the Science and Technology Curriculum in England, but not all dimensions were equally included in the curricula. In England's curriculum, had no outcomes related to the behavior dimension. The common result was that in all of the curricula, the outcomes in the cognitive skills dimension are more common, while the outcomes in the affective and behavioral dimensions are more limited.
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 | 0.002 | 0.000 |
| 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 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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