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Record W3002291650 · doi:10.24908/pceea.vi0.13766

DISCOVERE: AN OUTREACH PROGRAM AT THE SCHOOL OF ENGINEERING

2019· article· en· W3002291650 on OpenAlex
Yang Cao, Seach Chyr Goh, Ahmad Rteil, Debbie Roberts, Kevin Golovin

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2019
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsOutreachCurriculumVariety (cybernetics)PassionEngineering educationEngineeringEngineering ethicsEngineering managementCivil engineeringPedagogySociologyComputer sciencePolitical sciencePsychologyArtificial intelligence

Abstract

fetched live from OpenAlex

Canadian universities are devoting more and more resources to develop K-12 engineering education outreach programs. The School of Engineering at the University of British Columbia’s Okanagan campus offers a variety of outreach and community programs for students of all ages. This paper provides details on the DiscoverE Engineering Summer Program which has been delivered since 2016. The objective of the program is to introduce students general design processes through hands-on civil, electrical, and mechanical engineering projects. The overall goal is to foster a passion in engineering and at the same time attract students who have already had an interest in engineering and are eager to learn more about the discipline. The program is taught by faculty members and exposes students to a variety of hands-on projects in civil, electrical and mechanical engineering. This paper will provide curriculum details for each topic and reflect on the student learning experience based on observations. Future qualitative plans on the measure of the impact of this program qualitatively will be explored.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.254
Threshold uncertainty score0.787

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.003
GPT teacher head0.189
Teacher spread0.186 · 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