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How learners learn: A new microanalytic assessment method to map decision-making.

Phillippa Smith1, Gerry Corrigan1

  • 1a ANU Medical School, Australian National University , Canberra , Australia.

Medical Teacher
|January 23, 2018
PubMed
Summary
This summary is machine-generated.

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This study shows microanalysis is effective for understanding student learning decisions in problem-based learning (PBL). The approach revealed how medical students

Area of Science:

  • Medical education research
  • Cognitive psychology
  • Learning sciences

Background:

  • Microanalytic techniques offer potential for understanding learning processes.
  • Problem-based learning (PBL) tutorials provide a suitable context for testing microanalytic approaches.
  • Investigating student decision-making in PBL is crucial for enhancing learning.

Purpose of the Study:

  • To evaluate the suitability of a novel microanalytic approach for studying student learning decisions in PBL.
  • To explore the insights gained from microanalysis of decision-making in a PBL context.

Main Methods:

  • Utilized stimulated recall interviews (SRI) with 17 graduate-entry medical students.
  • Collected data on conscious decisions made during a PBL case.

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  • Constructed process maps and categorized decisions to analyze learning and decision-making patterns.
  • Main Results:

    • Successfully employed SRI to capture students' conscious decision-making processes during PBL.
    • Generated 191 process maps and analyzed 802 categorized decisions.
    • Observed a trend of increasing self-centered decisions while maintaining group awareness.

    Conclusions:

    • The implemented microanalytic approach is a viable tool for understanding learning in PBL.
    • This methodology can be applied to diverse learning environments for in-depth analysis.