Article Can Experiences of Authentic Scientific Inquiry Result in Transformational Learning?
Bibliographic record
Abstract
This work examines the experience of secondary school students involved in authentic science inquiry (ASI) at the Canadian Light Source. We suggest this experience is a transformational learning experience for participants. Using evidence from surveys and interviews from a total of 119 high school students, 23 teachers, and 18 scientists participating in the Students on the Beamline project during 2007–2010, we employ a transformational learning theory framework (Cranton, 2002; Mezirow, 1997a, b; Imel, 1998) in an interpretive approach to determine the extent this experience is transformative. Discussions of ASI and transformational learning are provided. Our investigation suggests that transformational learning can occur through such learning activity highlighted, for example, by changes in student perceptions of scientists, perceptions of themselves as capable of sophisticated science investigation, and considerations of science as a future life endeavour.
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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 | 0.008 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.029 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.002 | 0.004 |
| 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".