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Record W2604796543 · doi:10.24908/pceea.v0i0.6472

DESIGN AND DEVELOPMENT OF AN INTERDISCIPLINARY GRADUATE PROGRAM IN ENGINEERING PRACTICE

2017· article· en· W2604796543 on OpenAlexafffundvenue
Megan Dodd, Julie Conder, David K. Potter, Richard D. Allen, Salman Bawa, Robert Fleisig

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2017
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Pedagogy
Canadian institutionsMcMaster University
FundersStrongMcMaster University
KeywordsStudioContext (archaeology)Plan (archaeology)Relevance (law)StakeholderWork (physics)EmpathyDesign studioSociologyEngineering ethicsPedagogyEngineeringPsychologyPublic relationsPolitical science

Abstract

fetched live from OpenAlex

In Innovation Studio, students learn how tomake meaningful, creative contributions to theircommunities as emerging practicing professionals workingon complex, multi-stakeholder problems involvingelements of technology, design, business, and publicpolicy.Innovation Studio builds on McMaster University’slongstanding commitment to relevance through communityengagement. In the Walter G. Booth School of EngineeringPractice (W Booth School) in the Faculty of Engineering,we encourage our students to see not just the technical sideof the international problems such as energyindependence, food security and clean water, but as anopportunity to co-create change with our global and localcommunities for the good of all human beings, society, andnature.Students immerse themselves in the communities inwhich challenges have been identified. Innovation Studiois the place and time where students bring thoseexperiences back to the School, share their learnings andexplore new ideas in a safe and familiar environment.W Booth students develop a deeper understanding of theneed for empathy as they move toward a new direction oridea. Working within the context of problem identification,the teams learn how to define a project and plan anapproach to produce meaningful work, prototypes, policyanalysis and new enterprises.This paper reports on the design and development ofInnovation Studio as well as feedback collected fromstudents through focus groups.

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.

How this classification was reachedexpand

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.591
Threshold uncertainty score0.744

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.027
GPT teacher head0.303
Teacher spread0.276 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes3
Has abstractyes

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