LEARNING THE LIFE SKILL: CEAB LIFELONG LEARNING GRADUATE ATTRIBUTE
Bibliographic record
Abstract
Abstract –The focus of this paper is to present a baseline to a proposed longevity project for enhanced introduction of lifelong learning skill to engineering students. Lifelong learning is one of the twelve graduate attributes identified and evaluated by CEAB in the accreditation process of Canadian engineering programs. ENGN 326: Materials, Mechanics and Manufacturing is a third year core course with a broad scope of topics Students’ learning experience could be enriched if they adopt a proactive learning effort of setting weekly learning goals that could go beyond the set of topics given in the course syllabus. From their weekly submissions and their subsequent reflections, we tried to answer how realistic goals were set by the students and how much they were related to course materials. Comparisons to a similar study [1], presented in CEEA16 by the authors, have been made to show the effectiveness of SMART goal setting intervention to be given in an appropriate time before the first mid-term.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".