Perceived learning, critical elements and lasting impacts on university-based wilderness educational expeditions
Bibliographic record
Abstract
This study examined participants’ perceptions of learning, critical elements, and lasting impacts of their wilderness expeditions. Fifty-seven students, who completed a for-credit wilderness canoe expedition between 1993 and 2007 at the Augustana Campus, University of Alberta, participated in the investigation. Perceived learning most commonly related to nature and place appreciation, outdoor skills, group living, and self-awareness. Critical elements for learning were the experiential approach, group living, and nature and place immersion. In terms of lasting impacts of the expedition, perceived learning had changed since the expedition for 88% of students, especially in the areas of self-awareness, group living, and greater appreciation of the experience, due to reflection and the passage of time. Furthermore, the expedition had a lasting impact on students’ personal and professional lives, especially related to life experience, nature appreciation, confidence, and skill development. The findings support the notion that wilderness educational expeditions can provide significant and long-lasting learning (uniquely in the area of nature and place appreciation). Finally, because of the nature of educational expeditions, they lend themselves to the implementation of sound experiential pedagogical practices that promote active, engaged, and relevant learning.
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.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".