CHARACTERIZING THE ENGINEERING EDUCATION GRADUATE STUDENT EXPERIENCE IN CANADA: RESEARCH DEVELOPMENT & REFLECTIONS
Bibliographic record
Abstract
Four Canadian Engineering Education students from the Universities of Manitoba, Saskatchewan, Toronto and Calgary have conceptualized conducting a national study to characterize the identities of graduate students studying Engineering Education in Canada. We developed the Canadian Engineering Education Student Identity Study (CEESIS). This is a mixed methods cross-case comparison research study designed to explore how Canadian Engineering Education graduate students’ identities are formed through the intersection of our intellectual, institutional and networking academic experiences nested within our personal lives.In this paper, we detail the realization, purpose, benefits, theoretical design and methodology of this study. The development of our theoretical framework and survey through the use of McAlpine’s identity-trajectory construct is discussed. We conclude with individual personal reflections on how this research process has shaped our own growth as Engineering Education graduate students and how participation in this research group has influenced our understanding and identity of being Engineering Education graduate students and emerging Engineering Education researchers in Canada
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".