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Enregistrement W2591091210 · doi:10.18260/1-2--4219

Engaging First Year Students In Engineering Design Through Engineers Without Borders

2020· article· en· W2591091210 sur OpenAlexaffabout
Susan J. Masten, Robert Fleisig

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEngineering
ThématiqueEngineering Education and Pedagogy
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésCapstoneEngineering educationEngineering design processAccreditationSituatedProcess (computing)EngineeringHealth systems engineeringEngineering managementEngineering ethicsCivil engineeringComputer scienceMechanical engineeringMedical education

Résumé

récupéré en direct d'OpenAlex

Abstract NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract Engaging First Year Students in Engineering Design through Engineers Without Borders Projects Abstract It is important that first year engineering students learn that the engineering design process involves more than mathematics and physics. To accomplish this, students choose design projects from a variety of disciplines, developed with Engineers Without Borders (Canada) and situated in either a developing country or a remote area of Canada. All projects required, not only a technical solution, but also consideration of ethics, health and safety, economics, and impact on the community. Among the design projects were a rain-water harvesting system and ceramic water filter for villagers in Cambodia and a press for extracting oil and producing biodiesel fuel from seeds of the Jatropha shrub, which grows in West Africa. The impact of this approach on student satisfaction and success is discussed. Introduction A central focus of engineering education is the design process. Our goal as engineering educators is to ensure that graduating engineers have the ability to “design effective solutions that meet societal needs” 1. Traditionally, engineering education is built on a foundation of sciences and mathematics courses, with students taking engineering courses in their upper years, with few students experiencing design outside of a focused course in their discipline. In the 1990’s, in response to accreditation criteria, most engineering schools added a “capstone” design project in the final year. These projects are meant to be complex, have a “real world” flavor, and are often multi-disciplinary. In some cases, there are industrial sponsors and students work closely with practicing engineers. As engineering education has evolved in the last decade, the concept of a “cornerstone” or first- year engineering design project has been added. The goal of these projects is to give students early exposure to the engineering profession2-4, the engineering design process5, and the diversity of engineering disciplines; all while keeping their excitement, enthusiasm, and enjoyment levels high. Teaching first-year students about the engineering approach to problem-solving and design provides them with a framework within which to apply core scientific knowledge and mathematical skills they are acquiring in other courses. As part of our Introduction to Professional Engineering course, small groups of students work together on design projects. Students choose from a set of topics that reflect the diverse engineering disciplines within our faculty. The project descriptions were developed in collaboration with Engineers Without Borders (Canada) and are set in either a developing country or a remote area of Canada. In addition to the technical aspects of the engineering design, the final reports and presentations address considerations such as ethics, healthy and safety, economics, and impact on the community. Design projects included, for example, a rain-water harvesting system, a ceramic water filter, a seed press to extract oil, and a process for converting seed oil into biodiesel fuel in communities such as Lehkbooan, Cambodia and Changnayili, Ghana.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,020
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,103
Score d'incertitude au seuil0,343

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,020
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0080,005
Science ouverte0,0020,010
Intégrité de la recherche0,0020,004
Charge utile insuffisante (le modèle a refusé de juger)0,1030,057

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,034
Tête enseignante GPT0,290
Écart entre enseignants0,256 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2020
Routes d'admission2
Résumé présentoui

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