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Patterns in clinical students' self-regulated learning behavior: a Q-methodology study.

Joris J Berkhout1, Pim W Teunissen2,3, Esther Helmich4

  • 1Center for Evidence-Based Education, Academic Medical Center (AMC-UvA), University of Amsterdam, Amsterdam, The Netherlands. j.j.berkhout@amc.uva.nl.

Advances in Health Sciences Education : Theory and Practice
|May 29, 2016
PubMed
Summary
This summary is machine-generated.

Students exhibit diverse self-regulated learning behaviors in clinical settings, necessitating tailored supervision. Identifying these patterns, such as Engaged or Uncertain, helps optimize support for individual student needs in medical education.

Keywords:
Clinical learningQ-methodologySelf-regulated learningUndergraduate medical education

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Area of Science:

  • Medical Education
  • Psychology of Learning

Background:

  • Undergraduate students often lack sufficient support for active learning and self-regulation in clinical environments.
  • Clinical learning presents significant demands for students due to individual differences and varied support needs.

Purpose of the Study:

  • To explore and identify distinct patterns of self-regulated learning (SRL) behavior among undergraduate students in clinical settings.
  • To inform the development of tailored supervision strategies to enhance student learning and self-regulation.

Main Methods:

  • Employed Q-methodology, integrating qualitative and quantitative approaches, to systematically investigate subjective learning behaviors.
  • Analyzed data from 74 undergraduate students who sorted 52 statements on SRL behavior using by-person factor analysis.

Main Results:

  • Identified five distinct patterns of SRL behavior: Engaged, Critically opportunistic, Uncertain, Restrained, and Effortful.
  • These patterns primarily differed in goal setting, metacognition, communication, effort, and reliance on external regulation.
  • Recognized that SRL patterns result from a complex interplay between student characteristics and the clinical learning context.

Conclusions:

  • Student self-regulated learning in clinical environments is characterized by diverse, identifiable patterns.
  • Tailored supervision, addressing individual student needs and identified SRL patterns, is crucial for effective clinical education.