STUDENT AND FACULTY PERCEPTIONS OF CAPSTONE PURPOSES: WHAT CAN ENGINEERING LEARN FROM OTHER DISCIPLINES?
Bibliographic record
Abstract
Capstone Experiences (CE) are meant to integrate and culminate the student experience. The most common CE in the Canadian and American engineering curriculums is the final year design course, but other disciplines also have capstone experiences. This paper presents initial results from a multi-institutional, multi-national survey of faculty and student perceptions of capstone experiences. Here, we investigate three criteria (Values, Skills/competencies, Attitudes) and discuss differences and similarities among the disciplines and between engineering students and faculty. There is good alignment between engineering faculty and students, but values such as openness and compassion are selected at (comparatively) lower rates by engineering faculty and students than by other disciplines. These findings provide an opportunity for engineering educators to reflect on the intentions of their CE; e.g., are these results an intentional outcome of engineering capstones, or an oversight on the part of engineering educators?
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".