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Medical students and ChatGPT: analyzing attitudes, practices, and academic perceptions
Ahmed Samir Abdelhafiz1, Maysa I Farghly2, Eman Anwar Sultan3
1Department of Clinical Pathology, National Cancer Institute, Cairo University, Kasr Al-Aini Street, Fom Elkhalig Square, Cairo, 11796, Egypt. ahmed.samir@nci.cu.edu.eg.
Medical students show positive perceptions and trust in using ChatGPT for academics, but express concerns about potential misuse and information accuracy. Ethical guidelines are crucial for integrating AI in medical education.
Area of Science:
- Medical Education
- Artificial Intelligence in Healthcare
- Chatbot Technology
Background:
- ChatGPT, an AI chatbot, has raised significant interest and concern in healthcare education and practice.
- This study investigates undergraduate medical students' engagement with AI chatbots for academic purposes.
Purpose of the Study:
- To explore medical students' knowledge, perceptions, attitudes, and practices regarding ChatGPT use.
- To assess student trust and concerns about AI chatbots in academic settings.
Main Methods:
- A cross-sectional study utilizing an anonymous online questionnaire distributed via social media.
- Survey targeted undergraduate medical students across four Egyptian governorates.
- Data collected on socio-demographics, perceptions, attitudes, and practices.
Main Results:
- High response rate (96%) with 614 participants; 78.5% had prior ChatGPT experience.
- Students demonstrated positive perceptions (3.99), attitudes (3.01), and practices (3.55) towards ChatGPT.
- While trusting the model, over two-thirds worried about misuse in education, and 60% questioned accuracy on complex medical topics.
Conclusions:
- Medical students exhibit strong interest and trust in AI chatbots for academic use.
- Concerns persist regarding information reliability and potential misuse in medical education.
- Adherence to ethical guidelines and continuous updates are vital for AI integration in education.
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