Exploring the impacts of contextualised outdoor science education on learning: the case of primary school students learning about ecosystem relationships
Bibliographic record
Abstract
The present study explored the impacts of a contextualised outdoor science curriculum on what and how elementary students learn when immersed in the local contexts in which natural phenomena occur. We conducted 63 individual interviews with fifth- and sixth-graders (between 10 and 12 years old) living in the inner city of Montréal, Québec province, Canada. These allowed us to identify (1) three categories of impacts on what students learned: evolution of conceptual understanding about living organisms, development of scientific investigation abilities, and evolution of connection to nature, and (2) two categories of impacts on how students learned: a context that encourages deeper learning and a context that promotes engagement. Our results show that impacts on students went beyond learning about living organisms. A strength of our findings is that although the method of data collection did not aim a priori to corroborate the work of other research in the field of outdoor education, it in fact corroborated several results from other research, which is an important step for the development of this field. We also found that some students developed a connection to nature without addressing environmental problems during outdoor activities.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| 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 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".