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Record W2901495397 · doi:10.25071/10315/35294

Towards A Conceptual Model Of Design Team Learning In Mechanical Engineering Education

2018· article· en· W2901495397 on OpenAlex
Minha Ha, Aleksander Czekanski

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueProgress in Canadian Mechanical Engineering · 2018
Typearticle
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsConceptual modelConceptual designEngineering educationComputer scienceKnowledge managementEngineering managementSystems engineeringHuman–computer interactionEngineering

Abstract

fetched live from OpenAlex

Design education is the backbone of the undergraduate Mechanical Engineering (ME) curriculum at Lassonde School of Engineering (LSE). ME students take project-based design courses every year of their program. Students in the design courses were surveyed and interviewed, in order to examine the key learning outcomes and their development over the undergraduate years. Early-stage coding and analysis on the interview data have resulted in (1) the identification of possible threshold concepts in each year of project-based design learning, (2) the variation and changes in the meaning of design across cohorts, and (3) the three-level factors to design team success. Recommendations are proposed for the instructional training and course structure to enhance their support for design team project experience and outcomes.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.784
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.026
GPT teacher head0.268
Teacher spread0.242 · 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