Self-regulated learning in a field-based setting: Metacognitive and motivational strategies used by occupational therapy fieldwork students to develop clinical competence (Doctoral Dissertation, University of Connecticut, 2005)
Notice bibliographique
Résumé
Occupational therapy students often complete their fieldwork education lacking competencies needed for practice. The length of fieldwork has remained constant over the years, while the nature of practice is more complex. This study identified self-regulated learning strategies that help occupational therapy fieldwork students develop clinical competence within the current fieldwork requirement. ^ Self-regulated learning has a positive impact on academic performance. A model of self-regulated fieldwork learning, based on research in academic settings, including contextually relevant metacognitive and motivational variables, provided the theoretical rationale for this study. Qualitative research methods were selected, since the nature of self-regulated learning in field-based settings had not been described in the literature. ^ Data were collected from 12 occupational therapy students engaged in fulltime fieldwork. Nine participants were identified as high performing students (above average or outstanding) and their data were used to describe effective self-regulated fieldwork learning. Two participants were identified as below average students and their data served as a cross comparison to better understand how themes describing self-regulated learning strategies of effective learners were qualified by varied conditions. ^ Four primary themes emerged from the data that described self-regulated fieldwork learning used to develop clinical competence. Effective occupational therapy fieldwork students. (1) used metacognitive control to create and expand their own mental models for clinical competence, (2) demonstrated self-determined motivation that supported the use of metacognitive strategies, (3) took active steps to develop and maintain a productive learning alliance with their supervisors, (4) examined the person-environment interface and were strategic in selecting self-regulated learning strategies. ^ Results of the study were consistent with theories of self-regulated learning based on research in academic settings, but the data suggested that fieldwork learners used additional strategies specific to the fieldwork setting. Effective fieldwork students used self-regulatory learning strategies designed to simultaneously promote learning while ensuring effective patient care. Elaborating on self-regulated learning strategies used in academic settings to better meet the demands of the clinical sites may facilitate students' transition from fieldwork learning to lifelong learning in the workplace. ^
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».