TEACHING FIRST-YEAR STUDENTS TO COMMUNICATE PROBLEM ANALYSIS AND INVESTIGATION WITH AN ENGINEERING-SPECIFIC WRITING MODEL
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
The ability to communicate problem analysis and investigation is crucial to engineering students’ success. The Swales CARS model has generated considerable pedagogical interest because it describes how many engineers communicate in diverse documents. However, research has not yet reached any consensus about how effectively this model improves students’ ability to communicate problem analysis and investigation. In previous work, we reported that teaching the Swales CARS model and deploying an engineering case increased the students’ confidence to critique their own projects, but that study only focused on student impressions of their ability. To address this gap and expand on previous work, we evaluated students in a first-year engineering-communications course to determine whether teaching the Swales CARS model improved their ability to communicate problem analysis and investigation. Our results show our expanded approach generates considerable gains in these skills, which has far-reaching implications for the design of communications instruction in engineering programs.
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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 | 0.001 | 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