REFLECTING ON WRITTEN COMMUNICATION AS AN EMBEDDED COMPONENT IN UNDERGRADUATE ENGINEERING CURRICULA
Bibliographic record
Abstract
Communication in general and technicalwriting in particular have long been seen as importanthigher order skills for all graduating and practicingengineers. Developing technical writing skills in ourstudents requires a high level of student-instructorinteraction. The interaction needs to provide meaningful,embedded and iterative writing opportunities. Feedbackthat is detailed and timely is essential for successotherwise numerous writing experiences can reinforcepoor writing behaviors. Providing this intensity ofinteraction can be difficult in a technically focused andpacked curriculum. It can be difficult in competition withother time demands on students and instructors alike. Inthis paper, we present opinions on the challenges,opportunities, and approaches in providing technicalwriting education and support for undergraduateEngineering students. We focus primarily in theframework of Engineering curricula at Universities inOntario, but ideas discussed also have applications tohigher-level STEM education in general.
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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 | 0.001 | 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".