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Record W2180241716 · doi:10.3991/ijep.v5i1.4046

Engaging High School Students in an Engineering Thermodynamics Project

2015· article· en· W2180241716 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Engineering Pedagogy (iJEP) · 2015
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsFormative assessmentOutreachMandateMathematics educationWork (physics)Project-based learningEngineering educationSession (web analytics)Professional developmentTeamworkPedagogyEngineeringPsychologyComputer scienceEngineering managementPolitical scienceMechanical engineering

Abstract

fetched live from OpenAlex

Efforts for recruiting and retaining students in engineering programs are evident in many postsecondary institutions around the world. These efforts include outreach programs at both elementary and secondary school level, as well as projects that develop capacities beyond technical content—often taught as declarative and procedural knowledge. The mandate of the Galileo Education Network Association includes the design of rich learning environments engaging K – 12 students in authentic tasks: tasks that resemble the real work of professionals such as engineers. We describe the experience of enacting a seven-session engineering project in thermodynamics with Grade Ten students. Special attention is paid to formative assessment as an essential support for students' learning along the project. The initial project resulted from the collaboration—as a means for teacher professional development—between this network association and the mathematics and science teachers in a western Canadian high school. We propose that programs for teacher professional development in mathematics and science should include a focus on tasks that resemble the work of engineering in order to design authentic, engaging learning tasks, and assessing strategies that support and enhance student learning.

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)0.000
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 score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.019
GPT teacher head0.329
Teacher spread0.310 · 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