L’intégration des évaluations de l’apprentissage autorégulé dans les activités d’évaluation dans les professions de la santé : un appel à l’action
DOI :
https://doi.org/10.36834/cmej.73855Résumé
Dans quelle mesure les professionnels de la santé et les étudiants ont-ils été préparés aux exigences inévitables de nouveaux apprentissages qui se présenteront à eux à l’avenir? Étant donné la rapidité avec laquelle les « connaissances de base en matière de soins de santé » évoluent, les enseignants en médecine ont la responsabilité de vérifier si les étudiants ont développé la capacité d’autoréguler adéquatement leurs apprentissages. Ceux qui pratiquent efficacement l’apprentissage autorégulé (AAR) surveillent et contrôlent habilement leur cognition, leur motivation, leur comportement et leur environnement pour s’adapter à la nécessité de nouveaux apprentissages. Cependant, les programmes d’études médicales évaluent rarement la capacité des étudiants à s’engager dans ce processus stratégique. Dans cet exposé de position, nous plaidons en faveur d’un changement de paradigme vers une évaluation plus ciblée de l’AAR dans les formations doctorale et postdoctorale, ainsi que pour les activités d’évaluation. Plus précisément, nous explorons les résultats convaincants de l’emploi d’un mélange innovant de principes issus de la recherche en matière d’AAR et d’évaluations de la préparation à l’apprentissage futur. Nous proposons des recommandations pour une collaboration entre les responsables de la conception de programmes d’études, ceux de l’élaboration du cursus, ceux chargés de l’évaluation dans les programmes d’études prédoctorales et postdoctorales et les organismes responsables de l’octroi d’un titre de compétence en vue de créer des évaluations intégrées qui mesurent la méthode et la qualité de l’AAR chez les étudiants. Les programmes d’études tardent encore à traduire dans la pratique la reconnaissance de l’importance de l’apprentissage tout au long de la vie dans l’éducation médicale. Continuer à négliger ces compétences importantes ne ferait que nuire aux étudiants en médecine et potentiellement à leurs futurs patients.
Statistiques
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