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Record W2885270795 · doi:10.24908/pceea.v0i0.9477

DESIGN OF AN INTRODUCTORY ENGINEERING DESIGN AND COMMUNICATION COURSE WHICH INTEGRATES FIRST SEMESTER COURSES

2018· article· en· W2885270795 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2018
Typearticle
Languageen
FieldEngineering
TopicMechatronics Education and Applications
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMechatronicsCourse (navigation)Focus (optics)Mathematics educationEngineeringComputer scienceMultimediaPsychologyElectrical engineering

Abstract

fetched live from OpenAlex


 Abstract - In their first semester at UWaterloo, Mechatronics Engineering students take a course which introduces them to their chosen discipline, and which has a focus on communication skills (MTE 100 – Mechatronics Engineering). In 2010, a multi-year refresh of MTE 100 was initiated to address shortcomings in both the course, and the semester as a whole. The first semester instructors have now completed the refresh of MTE 100. Multiple hands-on, integrative activities that connect the other first semester courses to MTE 100 were added throughout the first semester. The introduction of these integrative activities has improved the first semester of the Mechatronics program. Survey data and feedback from end of term course critiques show an increased appreciation of foundational courses like Chemistry. From focus groups conducted with upper year students, there is a strong desire for similar experiences in upper years.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.317
Threshold uncertainty score0.785

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.211
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it