Using theory-informed data science methods to trace the quality of dental student reflections over time

Volume: 27, Issue: 1, Pages: 23 - 48
Published: Sep 2, 2021
Abstract
This study describes a theory-informed application of data science methods to analyze the quality of reflections made in a health professions education program over time. One thousand five hundred reflections written by a cohort of 369 dental students over 4 years of academic study were evaluated for an overall measure of reflection depth (No, Shallow, Deep) and the presence of six theoretically-indicated elements of reflection quality...
Paper Details
Title
Using theory-informed data science methods to trace the quality of dental student reflections over time
Published Date
Sep 2, 2021
Volume
27
Issue
1
Pages
23 - 48
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