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Adapting web-based instruction to residents' knowledge improves learning efficiency: a randomized controlled trial.

David A Cook1, Thomas J Beckman, Kris G Thomas

  • 1Division of General Internal Medicine, Mayo Clinic College of Medicine, Rochester, MN, USA. cook.david33@mayo.edu

Journal of General Internal Medicine
|July 10, 2008
PubMed
Summary
This summary is machine-generated.

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Adapting web-based learning (WBL) to residents prior knowledge reduced learning time by 18% without impacting test scores. This personalized approach enhances learning efficiency for busy medical trainees.

Area of Science:

  • Medical Education
  • Digital Learning
  • Postgraduate Training

Background:

  • Postgraduate medical training faces time constraints due to increased clinical demands.
  • Web-based learning (WBL) offers a potential solution for efficient medical education.
  • Adapting WBL to individual prior knowledge may optimize learning efficiency.

Purpose of the Study:

  • To evaluate if adapting WBL to prior knowledge reduces learning time for residents.
  • To determine if adaptive WBL affects knowledge acquisition compared to standard WBL.
  • To assess resident preference for adaptive versus standard WBL formats.

Main Methods:

  • A randomized crossover trial involving 122 internal medicine residents.
  • Four Web-based learning modules on ambulatory medicine were developed in standard and adaptive formats.

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  • The adaptive format allowed skipping content based on correct answers to case-based questions.

    • Main Results:

    • Knowledge scores were comparable between adaptive and standard WBL formats (76.2% vs 77.2%).
    • The adaptive format reduced time spent on modules by 18% (29.3 vs 35.6 minutes).
    • 75% of residents preferred the adaptive WBL format.

    Conclusions:

    • Adapting Web-based learning to prior knowledge enhances efficiency by reducing learning time.
    • This adaptive approach does not compromise knowledge acquisition in postgraduate medical training.
    • Personalized WBL is crucial for optimizing learning within current constraints of reduced duty hours and clinical demands.