Related Experiment Video
Updated: Sep 17, 2025
05:47
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
592
Can educators distinguish between medical student and generative AI-authored reflections?
Constance Wraith1, Alasdair Carnegy1, Celia Brown1
1Imperial College School of Medicine, London, UK.
Medical Education
|July 2, 2025
Summary
Educators struggled to differentiate AI-generated reflections from student work, indicating challenges in detecting generative artificial intelligence (GenAI) use in medical education. The study suggests harnessing GenAI to teach reflective practice rather than solely focusing on detection.
Area of Science:
- Medical Education
- Artificial Intelligence in Education
Background:
- Written reflection is a key component of medical school curricula.
- Generative artificial intelligence (GenAI) is increasingly utilized for academic assignments, including in medical education.
Purpose of the Study:
- To investigate whether medical educators can distinguish between GenAI-authored and student-authored reflections.
- To identify the features educators use when attempting to differentiate authorship.
Main Methods:
- A mixed-methods study involving 28 educators.
- Educators participated in 'think aloud' interviews while assessing a set of four reflections (student-authored, GenAI-authored, or mixed).
- Quantitative analysis of sensitivity and specificity, alongside qualitative thematic analysis of interview transcripts.
Main Results:
- Educators demonstrated an inability to reliably distinguish between student and GenAI-authored reflections.
- Sensitivity and specificity values indicated significant challenges in accurate authorship identification.
- Thematic analysis revealed that judgments were based on writing style, reflective content, and educator preconceptions.
Conclusions:
- Differentiating between student and GenAI-authored reflections presents considerable challenges for educators.
- The study recommends leveraging GenAI as a tool to enhance reflective practice skills in medical students.
- Exploring the integration of GenAI in medical education may offer benefits for students, particularly those who find written reflection difficult.
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