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Record W4405674981 · doi:10.24908/pceea.2024.18634

Reflective Decision-making: Social Impact Lab Toolkit Applied to a 4th Year Engineering Capstone Course

2024· article· en· W4405674981 on OpenAlexaffvenue
Paul Lusina, Bruce Moghtader, Parnia Haji Faraji

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2024
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCapstoneCapstone courseEngineering managementComputer scienceEngineering ethicsEngineering

Abstract

fetched live from OpenAlex

This article describes how critical service learning pedagogy is applied to a 4th year Capstone design course in electrical & computer engineering. We create a series of modules based on the Social Implications Lab toolkit developed at UBC. The modules’ goals are: to develop students’ reflective and collaborative decision-making abilities in the context of their Capstone project, and to provide instruction and assessment of the non-technical CEAB graduate attributes for the purpose of accreditation. Student data indicates that students recognize the importance of the individual reflection – team collaboration process. They describe ways that the modules have supported their solution to topics related to the non-technical CEAB graduate attributes. The student feedback identifies a number of ways that the module design could be made more effective including better connection to the Capstone course deliverables, more support in developing reflection and collaboration techniques, and more emphasis on relating projects to systemic social / environmental issues.

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)0.000
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: Empirical
Teacher disagreement score0.327
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.004
GPT teacher head0.259
Teacher spread0.256 · 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.

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
Published2024
Admission routes2
Has abstractyes

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