Enhanced Transfer of Design Skills using Professor in the Loop Structured Meetings
Bibliographic record
Abstract
This paper presents an approach to teaching engineering
 design that is based on involving instructors with
 students during the design process using structured
 meetings called Professor In The Loop (PITL) meetings.
 The main idea is to enhance the transfer of design
 skills from instructors to students by providing instructors
 with a window for observing students working on
 their design. The instructors are able to provide the students
 with immediate feedback about their design approach
 and skills on an ongoing basis throughout the
 project.
 PITL meetings have been tested in a third year engineering
 design course taken by all students enrolled in
 engineering programs at the University of Guelph. Information
 is given on how a meeting is conducted, how
 it is evaluated, and the types and nature of instructor
 feedback. The effectiveness of these meetings is validated
 using data from focussed end-of-term surveys.
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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 | 0.001 |
| 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 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".