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Enregistrement W1996356165 · doi:10.3109/0142159x.2010.500707

Competencies, the tea bag model, and the end of time

2010· article· en· W1996356165 sur OpenAlexaff
Linda Snell, Jason R. Frank

Notice bibliographique

RevueMedical Teacher · 2010
Typearticle
Langueen
DomaineMedicine
ThématiqueInnovations in Medical Education
Établissements canadiensUniversity of OttawaRoyal College of Physicians and Surgeons of CanadaMcGill University
Organismes subventionnairesnon disponible
Mots-clésJargonContext (archaeology)CurriculumGeneral partnershipGlobeMedical educationTheme (computing)Public relationsPedagogyPsychologyPolitical scienceSociologyMedicineHistoryLawComputer science

Résumé

récupéré en direct d'OpenAlex

Talk of tea bags and of competencies is much in the air these days, at least among medical educators. If epithets such as the ‘‘tea bag model of medical education’’ reflect dissatisfaction with approaches that emphasize how much time learners spend immersed in a certain context, as opposed to what they actually learn there, they also speak to one of the most pressing issues in medical education today: How do we ensure that all of our graduates are competent? To address this challenge, many jurisdictions around the globe have adopted ‘‘competency frameworks’’ for medical education. The resultant movement from structure- and process-based models to an outcomes-based approach has, in turn, given rise to jargon, controversy, and debate. Some have spoken out against the emerging paradigm of competency-based medical education (CBME), deploring ‘‘the tyranny of competency’’ (Brooks 2009) and emphasizing what they view as the inherent constraints and conflicts of a competency-based approach (Reeves et al. 2009). Medical Teacher has devoted this issue to the discourse around CBME and its implications for all of us who are engaged in educating health professionals. The papers in this theme issue have been authored by the International CBME Collaborators, 1 a unique partnership of interested scholars, practitioners, educators, curriculum planners, and teachers from four continents who came together in mid-2009 to consider the concepts and controversies in this widely debated topic. Although the published discourse on medical education stretches back to the early 20th century, CBME is experiencing a resurgence of sorts. In this issue, a series of papers explores different aspects of CBME from varied perspectives. In a systematic review of the literature Frank and colleagues review published definitions, identify common themes, and propose a definition to stimulate dialogue. The introductory theory-topractice paper (Frank & Snell) describes the results of an international collaboration that identified controversies, proposed consensus definitions of key terms, described the benefits and challenges of competency-based approaches, and explored future directions. These concepts are applied across the continuum of medical education in papers describing implementation, challenges, and approaches at the level of undergraduate education (Harris et al.), postgraduate training (Iobst et al.), and practice, where CBME may foster a progression from competence to excellence (Campbell et al.). Theoretical background from the learning sciences is provided by Swing to form a foundation for further thought, and a paper by ten Cate and colleagues introduces the concept of ‘‘entrustable professional activities’’ and explores the idea of ‘‘competencies in context.’’ No issue describing a new curricular paradigm would be complete without giving attention to assessment and faculty development. Holmboe and co-authors address issues surrounding assessment, emphasizing the need for robust and multi-faceted assessment systems and evaluation methods. A paper on faculty development by Dath and Iobst describes the challenges of ensuring that faculty understand the concepts of CBME and are comfortable teaching in this context, and suggests solutions at the level of the medical teacher and of the institution. Finally, a paper on policy by Taber and co-authors acknowledges that CBME is not solely a curriculum model that will be used by educators, but will have an impact on and be shaped by the institutions and systems where it is implemented.

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)0,002
score de la tête « metaresearch » (Gemma)0,005
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: Simulation ou modélisation · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,794
Score d'incertitude au seuil0,996

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,002
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0050,000

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 Opus0,012
Tête enseignante GPT0,290
Écart entre enseignants0,278 · 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'étudeSimulation ou modélisation
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

Citations89
Publié2010
Routes d'admission1
Résumé présentoui

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