Improving Classroom Engagement to Maximize Learning in an Interdisciplinary Dual Faculty Capstone Experience at the University of Manitoba
Notice bibliographique
Résumé
One of the most effective and efficient ways for an engineering program to facilitate compliance with the Canadian Engineering Accreditation Board (CEAB) accreditation criteria is through capstone design projects and courses [2]. Currently, The University of Manitoba Faculty of Engineering has several capstone design courses; however, each is independently focused on its own respective discipline. The resulting educational experience for students, though rigorous and challenging, is maintained within the boundaries of the students’ engineering discipline, thereby neglecting to provide the opportunity for students to work with people from multiple disciplines and across different faculties. This method of education, where students work in isolation, arguably does not reflect real world engineering. Through internal focus group meetings, program representatives from the Faculty of Engineering at The University of Manitoba agree that the capstones should be more reflective of real life situations. Interdisciplinary courses are most important because they “…articulate the difference between educational problems and workplace problems” [1]. Hence, to allow “(students) persons from different disciplines to work collaboratively and are integrated to combine their knowledge to solve a problem” (sic)[4], interdisciplinary capstone courses are essential to a rounded engineering education. Furthermore, teaming with the Faculty of Architecture will provide several benefits for both facilities such as: develop lifelong learning patterns; foster cooperative and collaborative team relationships; and, allow both facilities to learn the other’s cultures and technical languages.Since 2016, The University of Manitoba has presented research papers at the Canadian Engineering and Education Association (CEEA) conferences on the development and future assessment of an interdisciplinary capstone course. These papers have shown the evolution of the course from a multidisciplinary engineering program to an interdisciplinary Engineering and Architectural dual faculty offering. The course was launched in January, 2018, and will be evaluated through the winter session and into the fall.This paper, will explore, define, and explain how the proposed new engineering/architecture interdisciplinary capstone and dual faculty course will be developed, highlight the early stages of its initiation, describe the ongoing implementation, outline how the performance of the new course will be evaluated, delve into how the new course will be improved to make it more meaningful and practical to both faculties and students, and; discover how engagement can improved student learning.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».