Student Experience of Emergency Remote Teaching During COVID-19 Early in the 2020/21 Academic Year
Notice bibliographique
Résumé
In response to the contagious disease coronavirus disease 2019 (COVID-19), a number of health and safety measures were enacted across Canada in March 2020. These measures included the physical closure of postsecondary institutions, including the authors’ institution Carleton University. The physical closure resulted in an abrupt transition from normal in-person teaching to emergency remote teaching (the term emergency remote teaching is used to distinguish it from online teaching, which is not subject to the challenges and constraints associated with an emergency situation). Emergency remote teaching continued at Carleton University for the entire 2020/21 academic year. There were increased resources, training opportunities, supports, and time to prepare for teaching, as compared to the sudden change in the Winter 2020 term. Simultaneously, there were still many ongoing challenges and constraints in the pursuit of optimal remote teaching and learning. Midway through the Fall 2020 term, a questionnaire on the student experience with emergency remote teaching was developed and delivered to undergraduate students in the Department of Systems and Computer Engineering at Carleton University. This paper presents the findings of this questionnaire from the 159 respondents. Results suggest that, on average, academic and intellectual student engagement was slightly worse for emergency remote teaching versus normal in-person teaching. Emergency remote teaching posed some difficulties and challenges, but also provided some advantages that were preferred (e.g., less travel time, ability to rewatch asynchronous lectures). There was a notable worsening of social student engagement, which was associated with increased feelings of isolation and decreased mental health and well-being. There was also a number of students who faced technical barriers with respect to remote teaching, with only 22% indicating that they experienced few or inconsequential technical barriers. This research adds to the discourse on emergency remote teaching, including the lens of engineering education. The paper can help inform future transitions to emergency remote teaching, with some insights potentially useful for online teaching, which is anticipated to continue to increase in its prevalence.
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 | 0,003 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,005 | 0,002 |
| Communication savante | 0,004 | 0,001 |
| Science ouverte | 0,001 | 0,005 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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 ».