An ESD pathway to quality education in the Cyprus primary education context
Bibliographic record
Abstract
This research is based on the rationale that the well-defined framework of education for sustainable development (ESD), its connection with real life and its specific integration in the educational policies and curricula can help to enhance quality education (QE) in a meaningful and identifiable way. In a first step, the common ground of ESD and QE was explored in different areas: common dimensions, future-oriented objectives, commonly targeted skills, value orientation, teaching and learning approaches. In a second step, this information was taken as a base to investigate how well twelve lesson units for primary school reflect the common ground of ESD and QE. The units were specifically developed for this research, in which ESD experienced teachers (mentors) supported inexperienced ones (mentees). Results indicate that ESD can reinforce QE, but that teachers need support with regard to the political and cultural dimensions of SD issues, collaborations with local communities and assessments.
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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 | 0.003 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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; both teacher heads agree on what is shown here.
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".