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Fostering medical students’ lifelong learning skills with a dashboard, coaching and learning planning
INTRODUCTION: To develop lifelong learning skills, students need feedback, access to performance data, and coaching. A new medical curriculum incorporated infrastructural supports based on self-regulated learning theory and the Master Adaptive Learner framework to engage students in reflection and l...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bohn Stafleu van Loghum
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6191394/ https://www.ncbi.nlm.nih.gov/pubmed/30187391 http://dx.doi.org/10.1007/s40037-018-0449-2 |
Sumario: | INTRODUCTION: To develop lifelong learning skills, students need feedback, access to performance data, and coaching. A new medical curriculum incorporated infrastructural supports based on self-regulated learning theory and the Master Adaptive Learner framework to engage students in reflection and learning planning. This study examines students’ experience with a performance dashboard, longitudinal coaching, and structured time for goal-setting. METHODS: Focus groups with first-year medical students explored performance dashboard usage, coaching and learning planning. We analyzed findings using thematic analysis. Results informed development of a 29-item survey rated strongly disagree (1) to strongly agree (5) to investigate experience with the dashboard, coaching and learning goals program. The survey was distributed to one first-year medical student class. We performed descriptive statistics and factor analysis. RESULTS: In three focus groups with 21 participants, students endorsed using the dashboard to access performance information but had trouble interpreting and integrating information. They valued coaches as sources of advice but varied in their perceptions of the value of discussing learning planning. Of 152 students, 114 (75%) completed the survey. Exploratory factor analysis yielded 5 factors explaining 57% of the variance: learning goals development (α = 0.88; mean 3.25 (standard deviation 0.91)), dashboard usage (α = 0.82; 3.36 (0.64)), coaching (α = 0.71; 3.72 (0.64)), employment of learning strategies (α = 0.81; 3.67 (0.79)), and reflection (α = 0.63; 3.68 (0.64)). DISCUSSION: The student performance dashboard provides efficient feedback access, yet students’ use of this information to guide learning is variable. These results can inform other programs seeking to foster lifelong learning skills. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40037-018-0449-2) contains supplementary material, which is available to authorized users. |
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