Pre-Service Teachers' Knowledge, Participation and Perceptions About Environmental Education in Schools
Bibliographic record
Abstract
Abstract Despite the ever-growing body of knowledge about human impact on the environment and the need to work towards a sustainable future, participation in environmental action initiatives among the general population remains low. There is an increasingly urgent need to develop a culture of participation among young people who in turn may become future leaders. This article describes a study that was undertaken to investigate pre-service teachers’ environmental knowledge, their willingness to participate in environmental initiatives, and their perceptions about environmental education in schools. The study participants were pre-service teachers between the ages of 19 and 22. Data were collected through online surveys, followed by focus group interviews where pre-service teachers were given the opportunity to expand and comment on the survey responses. Findings from this study are consistent with previous research on pre-service teacher literacy, attitudes, perceptions and participation. However, the pre-service teachers’ perceptions about the role of schools and adults in nurturing environmental awareness and active participation among youth provides educators with new insights for the development of a more comprehensive environmental education curriculum that focuses on integration of theory and action.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".