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A practice-based approach to teaching antimicrobial therapy using artificial intelligence and gamified learning.

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Gamified learning and artificial intelligence (AI) significantly improved medical students' antibiotic stewardship (ABS) knowledge and prescribing confidence. AI effectively identified learning gaps, paving the way for scalable, AI-assisted teaching in medical education.

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Area of Science:

  • Medical Education
  • Infectious Diseases
  • Artificial Intelligence

Background:

  • Scalable teaching methods are increasingly important in academic practice.
  • Medical students require effective training in antibiotic stewardship (ABS).
  • Artificial intelligence (AI) and gamification offer potential for enhanced learning.

Purpose of the Study:

  • To evaluate the impact of gamified learning on medical students' knowledge and uncertainty in antibiotic prescription.
  • To assess the utility of AI in evaluating freeform answers related to antibiotic stewardship.
  • To explore scalable teaching approaches for antibiotic stewardship.

Main Methods:

  • Four short courses on ABS were provided to 46 self-selected medical students.
  • A questionnaire assessed knowledge in microbiology, infectious diseases, and pharmacy, alongside antibiotic prescribing proficiency.
  • Gamified learning mechanics and AI for freeform answer evaluation were employed.

Main Results:

  • Significant improvement in correctly answered questions for three topics.
  • Enhanced self-assessed safety in prescribing antibiotics.
  • AI effectively identified student learning gaps and areas needing further instruction.

Conclusions:

  • An interdisciplinary short course combining gamified learning and AI substantially improved ABS learning.
  • AI, despite being a developing technology, shows promise for scaling tutor-based teaching in ABS.
  • Gamified learning and AI represent a viable approach to enhance medical education in antibiotic stewardship.