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Enregistrement W3120525702 · doi:10.1108/arch-10-2020-0245

Speculations on the post-pandemic university campus – a global inquiry

2021· article· en· W3120525702 sur OpenAlexaff
Jay Deshmukh

Notice bibliographique

RevueInternational Journal of Architectural Research Archnet-IJAR · 2021
Typearticle
Langueen
DomainePsychology
ThématiqueCOVID-19 and Mental Health
Établissements canadiensIBI Group (Canada)
Organismes subventionnairesnon disponible
Mots-clésDistancingSociologyQualitative researchHigher educationPedagogyPandemicSpace (punctuation)PsychologyMathematics educationCoronavirus disease 2019 (COVID-19)Public relationsPolitical scienceComputer scienceSocial scienceMedicine

Résumé

récupéré en direct d'OpenAlex

Purpose The pandemic-induced global shift to remote learning calls for rethinking the foundations of design for higher education. This watershed moment in global health and human interaction has accelerated changes in higher education that were long emergent and amplified specific deficiencies and strengths in pedagogical models, causing institutions to reevaluate current structures and operations of learning and campus life as they question their vision and purpose. Since physical space has largely been taken out of the equation of university life, it is evident that fresh design research related to this new normal is required. Design/methodology/approach This qualitative research study speculates on new possibilities for the future of campus, based upon insights and inferences gained from one-on-one interviews with faculty and students in multiple countries about their personal experiences with the sudden shift to the virtual classroom. The longer the mode of physical distancing stretched through Spring 2020, these phone and web-enabled dialogues – first with faculty (teachers) and then with students (learners) – lead to a deeper, more nuanced understanding of how the notion of the campus for higher education was itself morphing in ways expected and unexpected. Findings At the heart of this study lies the question – Has COVID-19 killed the campus? This study suggests that it has not. However, campuses are now on a path of uneven evolution, and risk shedding the good with the extraneous without eyes-wide-open rethinking and responsive planning. This two-part qualitative analysis details the experiments and strategies followed by educators and students as the pandemic changed their ways of teaching and learning. It then speculates out-of-the-norm possibilities which campuses could explore as they navigate the uncertainty of future terms and address paradigm shifts questioning what defines a post-secondary education. Research limitations/implications This paper draws inferences from discussions limited to the first 100 days of the pandemic. This on-the-ground aspect as the pandemic continues is its strength and its limitation. As Fall 2020 progresses across global campuses, new ideas and perspectives are already reinforcing or upending some of this paper's speculations. This researcher is already engaged in new, currently-ongoing research, following up with interviewees from Spring 2020, as well as bringing in new voices to delve deeper into the possibilities discussed in this paper. This follow-up research is shaping new thinking which is not reflected in this paper. Originality/value Design practitioners have long-shaped campuses on the belief that the built “environment is the third teacher” and that architecture fosters learning and shapes collective experience. Educators recognize that a multiplicity of formal and informal interactions occur frequently and naturally across campus, supporting cognitive and social development, collegiality and well-being. Even today's digital-native-students perceive the inherent value of real interpersonal engagement for meaningful experiences. This research study offers new planning and design perspectives as institutional responses to the pandemic continue to evolve, to discover how design can support what lies at the core of the campus experience.

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)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,666
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
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 ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,168
Tête enseignante GPT0,498
Écart entre enseignants0,330 · 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.

Devis d'étudeObservationnel
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

Citations50
Publié2021
Routes d'admission1
Résumé présentoui

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