Assessment of the students’ self-efficacy regarding the CEAB graduated attributes
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
To meet the accreditation criteria set forth by the Canadian Engineering Accreditation Board, institutions are required to provide evidence that their graduates exhibit proficiency in 12 specific attributes. These attributes are usually assessed by instructors, albeit with some reliability and validity concerns. In an effort to enhance the variety of data sources, a study has been initiated to measure students' perceived sense of competency in relation to these graduate attributes. To assess their self-efficacy, 207 first to fourth year undergraduate students of sixteen courses were asked to voluntarily respond to a survey during the last three weeks of the fall 2023 semester. The statistical analysis of the gathered data reveals that students' self-efficacy is the lowest toward the graduate attribute 9 related to the impact of engineering on society and the environment. Therefore, a program improvement is recommended to enhance the students’ self-efficacy regarding this graduate attribute.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 | 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 it