Communications Instruction In First Year Engineering: The Glue
Bibliographic record
Abstract
Design and Communications One and ENGG 253: Design and Communications Two are the flagship courses for the Common Core year at The S___ School of Engineering, University of C___.Mandatory courses for all first year (~730) students, ENGG 251/253 are project-based courses on engineering design, taught by an interdisciplinary team drawn from all divisions of engineering, fine arts and communications.This paper serves to examine the role and work of the communications instructor within that interdisciplinary team, and to offer some insight into the ways that communications can be integrated into the engineering curriculum, as well as the benefits that communications brings to the instructor team.Because of the unique interdisciplinary structure of these courses, the communications instructor holds a tri-partite position as a solo instructor, a team instructor, and as the course technical writer.As a solo instructor, the communication instructor delivers 6-8 1-hour lectures per semester, on a combination of communication theory and practical writing and oral presentation material.As a team instructor, the communications instructor works to design, plan and implement at least one major project per academic year, and serves as a resource for other instructors.As well, the communications instructor is responsible for the creation of all assignment and project documents, as well as all grading/evaluation guides for the T.A.s Finally, the communications instructor acts as supervisor for the 4-6 communications T.A.s assigned to the course.As the course technical writer, the communications instructor produces all reports, manuals and documentation for the course.In addition, the communications instructor serves as co-marker on all assignment exemplars, to ensure that all T.A.s are marking to the same standard.This paper redefines the role of the communications instructor to capitalize on this many faceted skill set that, if properly integrated, can greatly enhance the quality, scope and relevance to the engineering educational coursework.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.017 | 0.013 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".