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Microanalytic Assessment of Self-Regulated Learning During Clinical Reasoning Tasks: Recent Developments and Next
Timothy J Cleary1, Steven J Durning, Anthony R Artino
1T.J. Cleary is associate professor, Graduate School of Applied and Professional Psychology, Rutgers, the State University of New Jersey, Piscataway, New Jersey. S.J. Durning is professor, Department of Medicine and Pathology, Uniformed Services University of the Health Sciences, Bethesda, Maryland. A.R. Artino Jr is professor, Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland.
Medical education needs better assessment tools. Self-Regulated Learning (SRL) microanalysis helps educators understand how trainees think and act, improving clinical reasoning and reducing errors.
Area of Science:
- Medical Education
- Cognitive Psychology
- Clinical Reasoning Assessment
Background:
- Diagnostic errors and ineffective clinical practice are critical issues in medical education.
- Effective assessment data is crucial for helping medical educators guide trainees.
- Self-Regulated Learning-Microanalytic Assessment and Training (SRL-MAT) is an assessment-to-intervention framework.
Purpose of the Study:
- To review studies using self-regulated learning (SRL) microanalysis to assess trainees' cognitive and motivational processes.
- To explore how trainees regulate their thinking and actions during clinical reasoning tasks.
- To inform how medical educators can use SRL microanalytic data for interventions and feedback.
Main Methods:
- Review of several studies employing SRL microanalysis.
- Generation of data on trainees' strategic, regulatory, and motivational processes during clinical activities.
- Analysis of how trainees regulate thinking and actions in clinical reasoning tasks.
Main Results:
- Medical students often lack strategic thinking and action in clinical reasoning practice.
- Regulatory processes, such as planning, predict important medical education outcomes.
- Trainees' motivation, strategic thinking, and self-evaluations fluctuate during clinical skills practice and patient encounters.
Conclusions:
- Dynamically assessing trainees' SRL during clinical tasks is valuable.
- SRL microanalytic data can guide remedial practices and feedback for trainees.
- Further research is needed to connect assessment data to interventions in medical education.
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