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Record W2137073835 · doi:10.24908/pceea.v0i0.4908

An Innovative and Interactive Approach to Teaching Industrial Drawing to Engineering Students

2013· article· en· W2137073835 on OpenAlex
André Cincou

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) · 2013
Typearticle
Languageen
FieldEngineering
TopicManufacturing Process and Optimization
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsComputer scienceVisualizationRepresentation (politics)GRASPOrthographic projectionProjection (relational algebra)Presentation (obstetrics)Human–computer interactionEngineering drawingSoftware engineeringArtificial intelligenceAlgorithmEngineering

Abstract

fetched live from OpenAlex

This paper presents an innovative and interactive approach to teaching industrial drawing methods, which is designed to improve the way students learn about the spatial visualization of objects by means of orthographic projection and the resolution of complex orthographic projection problems, and how they master the standards and conventions of graphical representation. This new approach is supported by two innovative tools that function in accordance with the standards and prescribed approaches of the Bachelor of Engineering degree program at Polytechnique Montréal, and was validated in a classroom setting. The products of this research are a 2D/3D multimedia tutorial and a guide to the standards and conventions related to graphical representation which supports the tutorial. The examples provided in the tutorial teach students to visualize, with all the advantages of a multimedia presentation, a strategy for resolving orthographic projection problems. They are supported by the geometric laws that form the foundation of the resolution strategy itself. The strategy is based on the principles and techniques that are taught to students to develop their spatial visualization capabilities, in the belief that better visualization of those basic laws will allow students to fully grasp the nature of 3D objects in space, and obviate the need to apply a step-by-step resolution strategy. The tutorial is a tool that is supported by a reference document which outlines the standards and conventions governing graphical representation for product definition. This document is mainly composed of illustrations of examples and counterexamples which are accompanied by comments or brief descriptive para- graphs. This document is exhaustive and up to date, and, most importantly, it follows the standards prescribed by ACNOR CAN3-78-1-M83 and ISO 128-20. Used together, the tutorial and the guide save teachers time in the classroom, as well as facilitating the integration of new concepts into the course material for training future engineers, which have been approved by Polytechnique Montréal and the industry. The tutorial and guide also enable students to learn the various concepts more quickly, help them become more autonomous, and provide them with a structured method for finding valid solutions to complex orthographic projection problems.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.578
Threshold uncertainty score0.856

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 communication0.0000.001
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 head0.006
GPT teacher head0.214
Teacher spread0.207 · 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