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Enregistrement W3028223264 · doi:10.1111/medu.14250

Faculty development in the COVID‐19 pandemic: So close ‐ yet so far

2020· article· en· W3028223264 sur OpenAlexaff
Heather Buckley

Notice bibliographique

RevueMedical Education · 2020
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueHealthcare Systems and Technology
Établissements canadiensStornoway Diamond (Canada)
Organismes subventionnairesnon disponible
Mots-clésCitationLibrary scienceCoronavirus disease 2019 (COVID-19)PandemicHistorySociologyMedicineComputer science

Résumé

récupéré en direct d'OpenAlex

Conceptual advances in faculty development are broadening to emphasise the importance of relationships and social networks to faculty learning.1 In-person events traditionally provide a venue for these relationships to develop and be sustained. The onset of the coronavirus disease 2019 (COVID-19) pandemic forced the rapid acceptance of online platforms as the only approach for interpersonal connection within the department. Within these virtual-only conditions, a faculty development intervention was quickly created for a cohort of dispersed faculty staff that could harness the power of relationships and social networks for support of faculty members and learning about the programme's new format (online) and additional content (student stress). A provincial virtual faculty development session was developed to bring four regionally dispersed faculty staff groups together to learn with and from each other. Social network theory prioritises relationships and interactions; this lens was used to design and plan the intervention. Although the four regions fit the description of a socio-centric (closed) network, strong reciprocal connections between regional groups could not be assumed as these groups had not met together for several years. Communications were organised centrally by the author (HB) as provincial lead, but distributed through four local regional sites. Better uptake was anticipated if the regional leads and site administrators reached out to faculty members; pre-existing peer relationships can exert influence on the decision to attend.1 Other sources of expertise (faculty development, information technology [IT], student affairs, etc.) were invited to bridge any knowledge gaps around virtual learning and managing student stress. The session was organised to maximise time for informal questions and answers. Formal presentations were avoided to encourage spontaneous informal discussion. Continuity of connection was offered afterwards through email, a written overview of conversation highlights and a follow-up debrief session; IT services also offered additional drop-in clinics. Initially, creating a virtual faculty development session seemed like a fairly straightforward solution, but it was surprisingly a lot of work! Setting realistic expectations and event participants was critical; many educational leaders and teachers within medicals schools have other responsibilities and are overstretched during the COVID-19 pandemic. Facilitating discussion virtually required extra attention to ‘read the Zoom™ (Zoom Video Communications Inc., San Jose, CA, USA).’ Arranging for a co-facilitator to help keep track of comments and questions was helpful. Many participants did not seem to be familiar with each other, although there was reference to some pockets of strong ties within regions. When there was a reference to a past shared experience amongst participants, it seemed to encourage participation in the virtual session. There also appeared to be less of a ‘group think’ mentality, which sometimes is observed when faculty development participants in this context are physically co-located. Participants seemed quite open to share varied and even competing opinions, which then required nuanced facilitation. As well, it was also harder to have informal or ‘sidebar’ conversations, which can also be influential for faculty learning.1 Perhaps smaller breakout rooms may help facilitate organic conversations. Faculty members also seemed to value other forms of follow-up communication (email, written summaries and debriefs) to sustain conversations. Perhaps most satisfyingly, he or she indicated that connecting with each other was highly valued. Connection allowed them to develop an informed and shared understanding of the changes to his or her role, as well as the reassurance and confidence to embrace new challenges, such as teaching virtually and attending to student well-being. In future, planning additional evaluation that includes measuring social network structural and qualitative changes, although not feasible at the onset of the COVID-19 pandemic, would be helpful to further assess impact and align with current evaluation trends.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,010
score de la tête « metaresearch » (Gemma)0,026
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,022
Score d'incertitude au seuil0,066

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0100,026
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0220,016
Communication savante0,0140,016
Science ouverte0,0020,025
Intégrité de la recherche0,0060,011
Charge utile insuffisante (le modèle a refusé de juger)0,0200,003

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 Opus0,070
Tête enseignante GPT0,354
Écart entre enseignants0,284 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations38
Publié2020
Routes d'admission1
Résumé présentoui

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