Impact of the COVID-19 Pandemic on Undergraduate Research in the Department of Biology at Western University: Effect on project types, learning outcomes, and student perceptions
Notice bibliographique
Résumé
Abstract Undergraduate research is a high impact practice that offers numerous benefits to students, academic institutions, and the wider scientific community. Unfortunately, undergraduate research has faced restrictions due to the COVID-19 pandemic. This study aimed to assess how the COVID-19 pandemic has impacted: (1) the number and types of undergraduate research projects performed in the Department of Biology at the University of Western Ontario, and (2) the satisfaction-levels and perceived learning outcomes of students performing these projects. This study also aimed to incorporate a ‘One Health’ framework through an emphasis on stakeholder involvement and the need for future action. A survey of 33 students who completed an undergraduate research project in the Department of Biology in the 2020/2021 academic year, and 68 students who completed an undergraduate research project in the 5 years prior was conducted. In keeping with the One Health approach, key stakeholders were identified, and a stakeholder map was constructed. The number of projects performed did not change dramatically despite COVID-19 restrictions. However, a shift towards dry research was observed with 87.9% of students in the 2020/2021 academic year conducting dry research, compared to 16.4% of students in the 5 years prior. Students who conducted research in the 2020/2021 academic year indicated lower overall levels of satisfaction and enjoyment, though their perceived learning outcomes were consistent with students who completed their projects in the 5 years prior. 53 key stakeholders from academia, government, industry, media, and the public were identified. Students provided invaluable feedback on their undergraduate research experiences that can be used to improve the quality of undergraduate research courses in the Department of Biology in the future. Findings may be of use to other departments and educational institutions that are seeking to improve their own undergraduate research courses amidst the COVID-19 pandemic or looking to incorporate experiential-based learning techniques into existing online courses.
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 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 | 0,003 | 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 | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».