Developing Global Education Opportunities at Sheridan College Using COIL (Collaborative (Collaborative Online International Learning)
Notice bibliographique
Résumé
International educational experiences are widely recognized as vital to both student educational development and the Canadian economy. However, only one in ten students in Canada studies abroad during their post-secondary programmes; at colleges, this number drops to one percent. Meanwhile, historically-underrepresented groups including racialized and Indigenous students, students with disabilities, and lower-income students continue to face additional barriers to study abroad and therefore have limited access to international education. The last decade has seen increased interest in “Internationalization at Home” – strategies for supporting global learning that do not require physical mobility - arising, at least in part, from efforts to address gaps in accessibility. The cessation of almost all travel during 2020 and 2021 due to the COVID-19 pandemic accelerated the development of Internationalization at Home methods, the most widely-employed of which is COIL (Collaborative Online International Learning). Per the definition offered by the SUNY COIL Center – a major international hub for student and faculty practitioners – COIL is “…an approach that brings students and professors together across cultures to learn, discuss and collaborate as part of their class” (SUNY COIL, 2021), most often through virtual communication platforms.\nSeeking to expand access and innovate opportunities for international education, in Fall 2020, Sheridan College initiated the development, delivery, and assessment of COIL curriculum, funded by a generous grant from Colleges and Institutes Canada’s Outbound Student Mobility Program: Winter 2021 Pilot Study. COIL fits squarely into Sheridan’s Academic Plan for 2019-2024, which seeks to “advance quality teaching and deep learning through inclusive, learning-focused design,” in part through a new Internationalization and Global Connectivity Strategy (Sheridan, 2020).\nThis report emerged from the Winter 2021 pilot and aims to offer a resource to faculty, staff, and students at Sheridan and beyond, who would like to better understand existing practices and research on COIL methodologies as well as learn from Sheridan’s experience piloting its first COIL course. The report begins with a literature review contextualizing the emergence of COIL practices within international education at the post-secondary level and summarizes key findings from studies evaluating the efficacy of the method at achieving intercultural competence, digital media literacy, team building and communications skills, employability, and other benefits for students, faculty, and institutions. This review also assesses the limited research regarding the experiences and needs of underrepresented students in international education.\nNext, this report offers an overview of the Sheridan College’s CICAN-sponsored pilot COIL course, “The Creative City and Culture,” two sections of which were offered in Winter 2020. This pilot was unique in that it located a COIL project within the cross-college Breadth Elective
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,041 | 0,005 |
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 source (Gemma direct ou Codex distillé), 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 ».