MétaCan
Menu
Back to cohort
Record W2053682358 · doi:10.1115/imece2007-41540

A Hands-on Approach to Teaching Thermal Systems Design

2007· article· en· W2053682358 on OpenAlexaboutno aff
Amir Jokar

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsClass (philosophy)CurriculumHeat transferRealization (probability)Computer scienceMathematics educationMechanical engineeringEngineering managementEngineeringMechanicsArtificial intelligencePedagogyMathematicsPsychology

Abstract

fetched live from OpenAlex

Thermal Systems Design, as a senior undergraduate course, has been taught by several methods in different mechanical engineering curricula. The objective of this upper-level undergraduate course at WSU Vancouver is to enhance the student’s industrial vision, and to prepare them for mechanical engineering practice before they graduate. For this purpose, students first apply the concepts of thermodynamics, fluid mechanics, and heat transfer that they had previously learned in relevant fundamental courses, through the real world problems and design projects. To increase the ability of students in design and realization of thermal systems, a design competition is setup in class within the course timeframe. The present article reports the details and results of such a hands-on class activity.

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)0.000
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.944
Threshold uncertainty score0.334

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.039
GPT teacher head0.269
Teacher spread0.230 · 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

Citations2
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicEngineering Education and PedagogyFrench-language works237,207