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Academic Medicine : Journal of the Association of American Medical Colleges
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Summary

Competency-based medical education emphasizes skills over fixed timelines. The traditional Carroll model is too simple for clinical training, needing updates to include factors like self-regulation and professional identity.

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Area of Science:

  • Medical Education
  • Learning Theories
  • Cognitive Science

Background:

  • Competency-based medical education (CBME) shifts focus from time-based to competency-based progression.
  • Traditional learning models, like the Carroll model, emphasize time as a key variable in learning.
  • Existing theories adequately explain structured learning but less so complex clinical workplace training.

Purpose of the Study:

  • To explore theoretical and conceptual issues of time variability in medical training.
  • To evaluate the applicability of existing learning models, such as the Carroll model, to clinical settings.
  • To identify additional factors crucial for understanding learning time in medical education.

Main Methods:

  • Literature review and theoretical analysis of learning models.
  • Examination of behaviorist theories (mastery learning, deliberate practice, learning curves).
  • Exploration of factors relevant to clinical workplace learning (self-regulation, motivation, neurocognition, professional identity, entrustment).

Main Results:

  • The Carroll model, while foundational, is insufficient for capturing the nuances of clinical workplace learning.
  • Behaviorist theories and the Carroll model do not fully account for self-regulation, motivation, and professional identity formation in training.
  • Time variability in clinical training is influenced by complex, multifaceted factors beyond simple time-on-task.

Conclusions:

  • The Carroll equation is too simplistic for the diverse nature of medical training, especially in clinical settings.
  • Additional variables, including self-regulation, motivation, neurocognitive perspectives, professional identity, and entrustment, are essential for a comprehensive model.
  • Future research should validate these expanded factors to better understand and manage time variability in medical education.