USING RUBRICS IN A CAPSTONE ENGINEERING DESIGN COURSE
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
Rubrics have been developed to assess the proposal,interim report, final report and proposal as related to theengineering capstone project, to better assess theperformance of the students and provide feedback to thestudents. The presentation will outline how the rubricswere developed and highlight some the challenges thatarose in implementing them. In addition, the rubrics werestructured to address the majority of graduate attributesoutlined by the Canadian Engineering AccreditationBoard (CEAB). As such the rubrics assess studentperformance in the following graduate attributes: design,problem analysis, investigation, communication skills,impact of engineering on society and environment, andeconomics and project management. Through thelearning management system used at the SOE, the rubricdata can also be collected and reviewed as part of thegraduate attribute process that has become an importantcomponent of the CEAB accreditation process.Challenges in using the learning management system willalso be discussed.
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 | 0.000 | 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 it