<p>We explored medical students’ perceptions of the use of GenAI-generated multiple-choice questions (MCQs) for their assessments. A survey was conducted with MBBS students to (i) investigate whether they could differentiate between questions created by ChatGPT and clinical educators, and (ii) explore students’ perceptions of faculty use of GenAI-generated questions in assessments. Participants (<i>n</i> = 86) performed no better than chance in differentiating three ChatGPT-set from three clinician-set questions (<i>p</i> = 0.46, chi-square test). Participants strongly opposed GenAI-generated questions without expert vetting, citing concerns about accuracy, relevance, and value. The adoption of GenAI in assessments should consider student perspectives and educational value.</p>

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Student Perspective Matters for GenAI in Question Setting in Medical Education

  • Olivia Ng,
  • Siew Ping Han,
  • Lin Anne Chui,
  • Timothy Peng Lim Quek,
  • Ray Tian Rui Lai,
  • Zheng-Wei Lee

摘要

We explored medical students’ perceptions of the use of GenAI-generated multiple-choice questions (MCQs) for their assessments. A survey was conducted with MBBS students to (i) investigate whether they could differentiate between questions created by ChatGPT and clinical educators, and (ii) explore students’ perceptions of faculty use of GenAI-generated questions in assessments. Participants (n = 86) performed no better than chance in differentiating three ChatGPT-set from three clinician-set questions (p = 0.46, chi-square test). Participants strongly opposed GenAI-generated questions without expert vetting, citing concerns about accuracy, relevance, and value. The adoption of GenAI in assessments should consider student perspectives and educational value.