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Enregistrement W4401313186 · doi:10.18260/1-2--48022

Student-Generated Infographics and Videos for Learning about Professional Obligations and the Impact of Engineering on Society

2024· article· en· W4401313186 sur OpenAlexafffundabout
Lawrence R. Chen

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEngineering
ThématiqueEngineering Education and Curriculum Development
Établissements canadiensMcGill University
Organismes subventionnairesMcGill University
Mots-clésAccreditationEngineering educationInfographicEngineering ethicsProfessional developmentMultidisciplinary approachEngineeringEngineering managementComputer scienceMedical educationPedagogyPsychologySociologyMedicine

Résumé

récupéré en direct d'OpenAlex

Abstract This Complete Evidence-Based Practice paper describes the use of two forms of alternative assessment for students to learn about the professional obligations and responsibilities of engineers as well as the impact of engineering on society. Providing students with opportunities to develop professional skills in both professional and non-professional programs is an important and desirable outcome of higher education. This is especially relevant in engineering, where accreditation bodies such as the Accreditation Board for Engineering and Technology and the Canadian Engineering Accreditation Board, require engineering programs to be designed to emphasize professional skills development, in addition to focusing on scientific and technical knowledge. These professional skills include, but are not limited to, the ability to (1) communicate effectively, (2) function in multidisciplinary teams, and (3) understand professional and ethical responsibility as well as the impact of engineering on society. Over the years, various approaches to provide students with opportunities to develop these skills have been considered, e.g., embedding specific activities in courses such as capstone / design projects or targeted workshops. Student-generated content, such as infographics and videos, have been shown to be effective at promoting active learning, engaging students as they create diverse learning artefacts, promoting critical thinking, and developing digital and communications skills. We describe implementing two alternative assessments-student-generated infographics and videos-in a first-year course on the engineering profession. The topics for the infographic and video address grand engineering challenges and focus on having the students consider the engineer's responsibility to society, how an engineering project might impact society and the environment, and what issues related to ethics, equity, diversity, inclusivity, and accessibility might arise. Working in teams, students perform research, synthesize results, and then communicate them through the creation of an infographic and a video. At the end of the semester, students complete a self-evaluation survey where they are asked to evaluate the usefulness of these two alternative assessments, as well as their perceptions on the professional obligations and the role of the engineer in society. In terms of the infographics and videos, the experience was generally positive; for example, one student commented, 'they provided experience in working with a team to solve open-ended issues, which is extremely important in engineering' and a number of them indicated a desire for similar assessments to be implemented in other engineering courses. Students also reported a better understanding about the role of the engineer in society, how engineering work can impact society, and the responsibilities and obligations of an engineer. Self-evaluation survey results correlated with responses from separate reflective writing exercises given to the students during the semester. Overall, these forms of assessment are useful for enhancing students' learning of the professional obligations and responsibilities of an engineer and the impact of engineering on society.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,045
Score d'incertitude au seuil0,249

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,007
Tête enseignante GPT0,277
Écart entre enseignants0,271 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
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

Citations0
Publié2024
Routes d'admission3
Résumé présentoui

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