Exploring Perceptions and Experiences of ChatGPT in Medical Education: A Qualitative Study Among Medical College Faculty and Students in Saudi Arabia
Abouammoh, N.; Alhasan, K.; Raina, R.; Malki, K. A.; Aljamaan, F.; Tamimi, I.; Muaygil, R.; Wahabi, H.; Jamal, A.; Al-Tawfiq, J. A.; Al-Eyadhy, A.; Soliman, M.; Temsah, M. H.
Show abstract
BackgroundWith the rapid development of artificial intelligence (AI) technologies, there is a growing interest in the potential use of AI-based tools like ChatGPT in medical education. However, there is limited research on the perceptions and experiences of faculty and students with ChatGPT, particularly in Saudi Arabia. ObjectiveThis study aimed to explore the knowledge, perceived benefits, concerns, and limitations of using ChatGPT in medical education, among faculty and students at a leading Saudi Arabian university. MethodsA qualitative study was conducted, involving focused meetings with medical faculty and students with varying levels of ChatGPT experience. A thematic analysis was used to identify key themes and subthemes emerging from the discussions. ResultsParticipants demonstrated good knowledge of ChatGPT and its functions. The main themes were: (1) knowledge and perception of ChatGPT, and (2) roles of ChatGPT in research and medical education. The perceived benefits included collecting and summarizing information and saving time and effort. However, concerns and limitations centered around the potential lack of critical thinking in the information provided, the ambiguity of references, limitations of access, trust in the output of ChatGPT, and ethical concerns. ConclusionsThis study provides valuable insights into the perceptions and experiences of medical faculty and students regarding the use of ChatGPT in medical education. While the benefits of ChatGPT were recognized, participants also expressed concerns and limitations requiring further studies for effective integration into medical education, exploring the impact of ChatGPT on learning outcomes, student and faculty satisfaction, and the development of critical thinking skills.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Large language models for generating medical examinations: systematic review 96%
- Effect of introducing interprofessional education concepts on students of various healthcare disciplines in the United Arab Emirates 95%
- Medical students' perceptions towards artificial intelligence in education and practice: A multinational, multicenter cross-sectional study 94%
Similar papers in this journal
- Introducing the 4Ps Model of Transitioning to Distance Learning: a convergent mixed methods study conducted during the COVID-19 pandemic 97%
- A national professional development program fills mentoring gaps for postdoctoral researchers 95%
- Evaluating user experience with immersive technology in simulation-based education: a modified Delphi study with qualitative analysis 95%
Similar papers in this journal
- Theory of radiologist interaction with instant messaging decision support tools: a sequential-explanatory study 94%
- Benefits and Challenges of Using Virtual Primary Care During the COVID-19 Pandemic: From Key Lessons to a Framework for Implementation 93%
- Ethical review of clinical research with generative AI: Evaluating ChatGPT’s accuracy and reproducibility 92%
Similar papers in this journal
- Evaluating a first fully automated interview grounded in Multiple Mini Interview (MMI) methodology: results from a feasibility study 95%
- Conceptualizing centers of excellence: A global evidence 93%
- The preparedness and response to COVID-19 in a quaternary Intensive Care Unit in Australia: perspectives and insights from frontline critical care clinicians 93%
Similar papers in this journal
- The Lifecycle of Electronic Health Record Data in HIV-Related Big Data Studies: A Qualitative Study of Instances of and Potential Opportunities to Minimize Bias 92%
- Improving Patient Engagement in Phase 2 Clinical Trials with a Trial-specific Patient Decision Aid (tPDA): A Development and Usability Study 92%
- Assessing ChatGPT’s Mastery of Bloom’s Taxonomy using psychosomatic medicine exam questions 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.