Feedback and the educational alliance: examining credibility judgements and their consequences
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Notice bibliographique
Résumé
CONTEXT: Several recent studies have documented the fact that, in considering feedback, learners are actively making credibility judgements about the feedback and its source. Yet few have intentionally explored such judgements to gain a deeper understanding of how the process works or how these judgements might interact to influence engagement with and interpretation of feedback. Using the educational alliance framework, we sought to elaborate an understanding of learners' credibility judgements and their consequences. METHODS: Using constructivist grounded theory we conducted semi-structured interviews with psychiatry residents. We used a theoretical sampling approach that invited participants with diverse scores based on a previously published feedback survey and an investigator-developed educational alliance inventory. Consistent with the principles of grounded theory analysis, data were collected and analysed in an iterative process to identify themes. RESULTS: Participants depicted themselves as actively contemplating feedback and considering it thoughtfully in light of complex judgements regarding their supervisor, the relationship with their supervisor and the larger context in which the feedback interactions were occurring. These judgements focused on the supervisor's credibility both as a clinician and as a partner in the educational alliance. The educational alliance is judged by trainees in relation to the supervisor's engagement as an educator, commitment to promoting growth of residents and positive attitude toward them. CONCLUSIONS: Our findings suggest that credibility is a multifaceted judgement that occurs not only at the moment of the feedback interaction but early in and throughout an educational relationship. It not only affects a learner's engagement with a particular piece of feedback at the moment of delivery, but also has consequences for future engagement with (or avoidance of) further learning interactions with the supervisor. These findings can help medical educators develop a more meaningful understanding of the context in which feedback takes place.
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Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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