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Record W2594302026 · doi:10.24908/pceea.v0i0.6490

AN OPEN-ENDED DESIGN-BASED LAB EXERCISE FOR A FIRST THERMOFLUIDS COURSE

2017· article· en· W2594302026 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.
fundA Canadian funder is recorded on the work.
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) · 2017
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsDalhousie University
FundersDalhousie University
KeywordsWork (physics)Course (navigation)Mathematics educationComputer scienceEngineering managementEngineeringPsychologyMechanical engineering

Abstract

fetched live from OpenAlex

The Thermo-Fluid Engineering I course provides all first-semester second-year engineering students at Dalhousie University with a basic introduction to thermodynamics and fluid mechanics. In the past three years, we have used a combination of six traditional laboratory exercises and a short four-week design project to provide students with hands-on learning experiences in this course. In general, these projects have been well-received by students as a welcome break from the many abstract theoretical concepts that are normally associated with introductory thermodynamics. However, two of the continuing challenges with these projects have been the students’ limited engineering design experience and the availability of time to perform a design project. To address these challenges, in the fall 2015 offering of Thermo-Fluid Engineering I, the four-week design project was replaced by an open-ended design-based lab exercise.The open-ended lab exercise required groups of students to develop specific laboratory experiments related to thermodynamics and fluid dynamics, given a limited quantity of resources. While the focus shifted away from a traditional short design project, the open-ended lab exercise continues to allow students to develop their creative thinking, critical analysis, hands-on, communication, and team work skills, which was the primary purpose of the short design projects in the first place.

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: Empirical
Teacher disagreement score0.083
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
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.012
GPT teacher head0.251
Teacher spread0.239 · 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