Learning to Learn: Defining an Engineering Learning Culture
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Learning is a cultural construct. Beliefs, perceptions and values regarding learning shape the culture of a classroom and a program of study. A framework for engineering education grounded in the Canadian Engineering Accreditation Board (CEAB) Graduate Attributes and engineering practice is proposed. Methods and activities to shape a learning culture in engineering design education consistent with a community of practice and lifelong learning are also proposed. This transformational approach offers an opportunity to teach lifelong learning and integrate engineering practice and engineering education, while entrenching graduate attributes more deeply in the engineering curriculum. Accountability, engagement, recognition, motivation, appreciation, credibility, and continual improvement are key elements of a functional learning culture. Learning moments are a concise way to make learning to learn a relevant part of each session and encourage student reflection and metacognition.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it