INVESTIGATING STUDENT EXPERIENCES OF ENGINEERING TECHNOLOGY TO ENGINEERING TRANSFER IN ONTARIO
Bibliographic record
Abstract
The Ontario Council on Articulation and Transfer (ONCAT) Engineering Pathways Project aims to develop a large-scale network for transfer between engineering technology and engineering programs, enabling a streamlined transfer experience across multiple Ontario institutions. When developing a program of this nature, the lived experiences of students who have completed such a transition must be investigated. Eight interviews were completed with students and graduates of Ontario engineering technology to engineering transfer programs, with the intent to understand a) rationale for student transfer, b) experiences while studying, and c) experiences or plans post-graduation. A phenomenological methodology was used for analysis by inductive coding. Major results include the necessity of program accreditation for student enrollment, the benefits of short and rigorous bridging programs, and the marked lack of social and academic support students experienced during their transfer pathways. This research has been used to inform the development of the pilot phase of an Ontario-wide engineering transfer program.
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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 | 0.001 | 0.002 |
| 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 | 0.000 |
| 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".