Petting bees or building bee boxes? Strategies for transformative learning
Bibliographic record
Abstract
This paper presents findings from a research study exploring the effectiveness of three environmental education programs. The first was an interpretive program where visitors learned to safely interact with and ‘pet’ bees (control group), the second was the same interpretive program with the addition of post-visit action resources (interactive treatment group), and the third was a contributory citizen science bee box building project (citizen science treatment group). Using personal meaning maps, interviews, and participatory observations we explored learning outcomes in relation to Transformative Learning Theory. This study found that the interpretive program facilitated a more complex learning experience across all transformative learning domains. The participants who engaged in a contributory citizen science bee box project demonstrated a narrower, albeit more focused learning experience where their knowledge increased specifically in relation to understanding the issues native bees face and actions related to native bee conservation. These findings have important implications for experiential learning where action outcomes and transformative learning are interrelated goals.
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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 | 0.003 | 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) | 0.018 | 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".