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Enregistrement W2928752889 · doi:10.1177/2382120519836789

Student Reflections on the Queen’s Accelerated Route to Medical School Programme

2019· article· en· W2928752889 sur OpenAlexaffabout
Jennifer MacKenzie, Denise Stockley, Amber Hastings‐Truelove, Theresa Nowlan Suart, Eleni Katsoulas, Michael D. Kawaja, Richard Reznick, Anthony Sanfilippo

Notice bibliographique

RevueJournal of Medical Education and Curricular Development · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueInnovations in Medical Education
Établissements canadiensQueen's UniversityMcMaster University
Organismes subventionnairesnon disponible
Mots-clésCourseworkCurriculumContext (archaeology)Medical educationMedical schoolQueen (butterfly)PsychologyAdaptation (eye)MedicinePedagogy

Résumé

récupéré en direct d'OpenAlex

CONTEXT: Since its inception more than 150 years ago, the School of Medicine at Queen's University has aspired 'to advance the tradition of preparing excellent physicians and leaders in health care by embracing a spirit of inquiry and innovation in education and research'. As part of this continuing commitment, Queen's School of Medicine developed the Queen's University Accelerated Route to Medical School (QuARMS). As Canada's only 2-year accelerated-entry premedical programme, QuARMS was designed to reduce training time, the associated expense of medical training, and to encourage a collaborative premedical experience. Students enter QuARMS directly from high school and then spend 2 years enrolled in an undergraduate degree programme. They then are eligible to enter the first-year MD curriculum. The 2-year QuARMS academic curriculum includes traditional undergraduate coursework, small group sessions, and independent activities. The QuARMS curriculum is built on 4 pillars: communication skills, critical thinking, the role of physician (including community service learning [CSL]), and scientific foundations. Self-regulated learning (SRL) is explicitly developed throughout all aspects of the curriculum. Medical educators have defined SRL as the cyclical control of academic and clinical performance through several key processes that include goal-directed behaviour, use of specific strategies to attain goals, and the adaptation and modification to behaviours or strategies that optimize learning and performance. Based on Zimmerman's social cognitive framework, this definition includes relationships among the individual, his or her behaviour, and the environment, with the expectation that individuals will monitor and adjust their behaviours to influence future outcomes. OBJECTIVES: This study evaluated the students' learning as perceived by them at the conclusion of their first 2 academic years. METHODS: At the end of the QuARMS learning stream, the first and second cohorts of students completed a 26-item, 4-point Likert-type instrument with space for optional narrative details for each question. A focus group with each group explored emergent issues. Consent was obtained from 9 out of 10 and 7 out of 8 participants to report the 2015 survey and focus group data, respectively, and from 10 out of 10 and 9 out of 10 participants to report the 2016 survey and focus group data, respectively. Thematic analysis and a constructivist interpretive paradigm were used. A distanced facilitator, standard protocols, and a dual approach assured consistency and trustworthiness of data. RESULTS: Both analyses were congruent. Students described experiences consistent with curricular goals including critical thinking, communication, role of a physician, CSL, and SRL. Needs included additional mentorship, more structure for CSL, more feedback, explicit continuity between in-class sessions, and more clinical experience. Expectations of students towards engaging in independent learning led to some feelings of disconnectedness. CONCLUSIONS: Participants described benefit from the sessions and an experience consistent with the curricular goals, which were intentionally focused on foundational skills. In contrast to the goal of SRL, students described a need for an explicit educational structure. Thus, scaffolding of the curriculum from more structured in year 1 to less structured in year 2 using additional mentorship and feedback is planned for subsequent years. Added clinical exposure may increase relevance but poses challenges for integration with the first-year medical class.

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)0,007
score de la tête « metaresearch » (Gemma)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,055
Score d'incertitude au seuil0,109

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,009
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0140,004
Communication savante0,0080,002
Science ouverte0,0040,012
Intégrité de la recherche0,0130,021
Charge utile insuffisante (le modèle a refusé de juger)0,0260,006

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 Opus0,035
Tête enseignante GPT0,418
Écart entre enseignants0,384 · 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'étudeQualitatif
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

Citations2
Publié2019
Routes d'admission2
Résumé présentoui

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