Assessing Familiarity, Usage Patterns, and Attitudes of Medical Students Toward ChatGPT and Other Chat-Based AI Apps in Medical Education: Cross-Sectional Questionnaire Study
Abstract BackgroundThere has been a rise in the popularity of ChatGPT and other chat-based artificial intelligence (AI) apps in medical education. Despite data being available from other parts of the world, there is a significant lack of information on this topic in medical ed...
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JMIR Publications
2025-01-01
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| Series: | JMIR Medical Education |
| Online Access: | https://mededu.jmir.org/2025/1/e63065 |
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| author | Safia Elwaleed Elhassan Muhammad Raihan Sajid Amina Mariam Syed Sidrah Afreen Fathima Bushra Shehroz Khan Hala Tamim |
| author_facet | Safia Elwaleed Elhassan Muhammad Raihan Sajid Amina Mariam Syed Sidrah Afreen Fathima Bushra Shehroz Khan Hala Tamim |
| author_sort | Safia Elwaleed Elhassan |
| collection | DOAJ |
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Abstract
BackgroundThere has been a rise in the popularity of ChatGPT and other chat-based artificial intelligence (AI) apps in medical education. Despite data being available from other parts of the world, there is a significant lack of information on this topic in medical education and research, particularly in Saudi Arabia.
ObjectiveThe primary objective of the study was to examine the familiarity, usage patterns, and attitudes of Alfaisal University medical students toward ChatGPT and other chat-based AI apps in medical education.
MethodsThis was a cross-sectional study conducted from October 8, 2023, through November 22, 2023. A questionnaire was distributed through social media channels to medical students at Alfaisal University who were 18 years or older. Current Alfaisal University medical students in years 1 through 6, of both genders, were exclusively targeted by the questionnaire. The study was approved by Alfaisal University Institutional Review Board. A χ2
ResultsA total of 293 responses were received, of which 95 (32.4%) were from men and 198 (67.6%) were from women. There were 236 (80.5%) responses from preclinical students and 57 (19.5%) from clinical students, respectively. Overall, males (n=93, 97.9%) showed more familiarity with ChatGPT compared to females (n=180, 90.09%; PPPP
ConclusionsFamiliarity with and usage of ChatGPT and other chat-based AI apps were common among the students of Alfaisal University. The usage patterns of these apps differ between males and females and between preclinical and clinical-year students. |
| format | Article |
| id | doaj-art-3617d19184f248089cd59bb409e8fba3 |
| institution | Kabale University |
| issn | 2369-3762 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Medical Education |
| spelling | doaj-art-3617d19184f248089cd59bb409e8fba32025-02-06T21:16:15ZengJMIR PublicationsJMIR Medical Education2369-37622025-01-0111e63065e6306510.2196/63065Assessing Familiarity, Usage Patterns, and Attitudes of Medical Students Toward ChatGPT and Other Chat-Based AI Apps in Medical Education: Cross-Sectional Questionnaire StudySafia Elwaleed Elhassanhttp://orcid.org/0009-0008-0218-6036Muhammad Raihan Sajidhttp://orcid.org/0000-0002-6082-3928Amina Mariam Syedhttp://orcid.org/0009-0007-0062-9529Sidrah Afreen Fathimahttp://orcid.org/0009-0005-9730-344XBushra Shehroz Khanhttp://orcid.org/0009-0009-1723-0164Hala Tamimhttp://orcid.org/0000-0002-2859-4619 Abstract BackgroundThere has been a rise in the popularity of ChatGPT and other chat-based artificial intelligence (AI) apps in medical education. Despite data being available from other parts of the world, there is a significant lack of information on this topic in medical education and research, particularly in Saudi Arabia. ObjectiveThe primary objective of the study was to examine the familiarity, usage patterns, and attitudes of Alfaisal University medical students toward ChatGPT and other chat-based AI apps in medical education. MethodsThis was a cross-sectional study conducted from October 8, 2023, through November 22, 2023. A questionnaire was distributed through social media channels to medical students at Alfaisal University who were 18 years or older. Current Alfaisal University medical students in years 1 through 6, of both genders, were exclusively targeted by the questionnaire. The study was approved by Alfaisal University Institutional Review Board. A χ2 ResultsA total of 293 responses were received, of which 95 (32.4%) were from men and 198 (67.6%) were from women. There were 236 (80.5%) responses from preclinical students and 57 (19.5%) from clinical students, respectively. Overall, males (n=93, 97.9%) showed more familiarity with ChatGPT compared to females (n=180, 90.09%; PPPP ConclusionsFamiliarity with and usage of ChatGPT and other chat-based AI apps were common among the students of Alfaisal University. The usage patterns of these apps differ between males and females and between preclinical and clinical-year students.https://mededu.jmir.org/2025/1/e63065 |
| spellingShingle | Safia Elwaleed Elhassan Muhammad Raihan Sajid Amina Mariam Syed Sidrah Afreen Fathima Bushra Shehroz Khan Hala Tamim Assessing Familiarity, Usage Patterns, and Attitudes of Medical Students Toward ChatGPT and Other Chat-Based AI Apps in Medical Education: Cross-Sectional Questionnaire Study JMIR Medical Education |
| title | Assessing Familiarity, Usage Patterns, and Attitudes of Medical Students Toward ChatGPT and Other Chat-Based AI Apps in Medical Education: Cross-Sectional Questionnaire Study |
| title_full | Assessing Familiarity, Usage Patterns, and Attitudes of Medical Students Toward ChatGPT and Other Chat-Based AI Apps in Medical Education: Cross-Sectional Questionnaire Study |
| title_fullStr | Assessing Familiarity, Usage Patterns, and Attitudes of Medical Students Toward ChatGPT and Other Chat-Based AI Apps in Medical Education: Cross-Sectional Questionnaire Study |
| title_full_unstemmed | Assessing Familiarity, Usage Patterns, and Attitudes of Medical Students Toward ChatGPT and Other Chat-Based AI Apps in Medical Education: Cross-Sectional Questionnaire Study |
| title_short | Assessing Familiarity, Usage Patterns, and Attitudes of Medical Students Toward ChatGPT and Other Chat-Based AI Apps in Medical Education: Cross-Sectional Questionnaire Study |
| title_sort | assessing familiarity usage patterns and attitudes of medical students toward chatgpt and other chat based ai apps in medical education cross sectional questionnaire study |
| url | https://mededu.jmir.org/2025/1/e63065 |
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