این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
صفحه اصلی
درباره پایگاه
فهرست سامانه ها
الزامات سامانه ها
فهرست سازمانی
تماس با ما
JCR 2016
جستجوی مقالات
جمعه 25 مهر 1404
Journal of Advances in Medical Education and Professionalism
، جلد ۱۳، شماره ۴، صفحات ۲۷۰-۲۹۳
عنوان فارسی
چکیده فارسی مقاله
کلیدواژههای فارسی مقاله
عنوان انگلیسی
The Role of AI in Shaping Medical Education: Insights from an Umbrella Review of Review Studies
چکیده انگلیسی مقاله
Introduction: Artificial intelligence (AI) has become integral to various fields, including medical education. This study explores AI applications in medical education through a review of relevant
studies.
Methods: Using the umbrella review method, this study synthesized findings from reviews conducted between 2018 and 2024. The PRISMA framework guided a comprehensive search of databases, including Science Direct, Springer, ERIC, PubMed, and Google Scholar. After quality assessment with the CASP framework, 77 systematic review articles were selected. Data analysis employed Elo and Kyngäs’s qualitative content analysis approach, supported by expert validation and researcher consensus.
Results: Six key themes of AI applications in medical education were identified: faculty, students, teaching and learning process, assessment, curriculum, and management/implementation.
Management and implementation had the highest representation (26.5%), followed by teaching and learning processes (25.9%). Examples of each theme were highlighted. China produced
the most articles, and three journals—International Journal of Educational Technology in Higher Education, Computers and Education: Artificial Intelligence, and Education and Information
Technologies—were the leading publication venues.
Conclusion: These six themes provide a roadmap for medical education policymakers to adapt to AI advancements. Emphasizing management and executive applications, the findings predict
significant changes in the future of medical education and practice. This framework can help medical universities align curricula and operations with the evolving landscape of AI in healthcare.
کلیدواژههای انگلیسی مقاله
Artificial Intelligence,Medical education,Machine Learning,Educational Technology
نویسندگان مقاله
FATEME JAFARI |
Department of Educational Administration and Planning, Faculty of Psychology and Education, University of Tehran, Tehran, Iran
AHMAD KEYKHA |
Sharif University of Technology, Sharif Policy Research Institute, Tehran, Iran
ATEFEH TAHERIANKALATI |
Faculty of Education, Western University, Ontario, Canada
AVA TAGHAVI MONFARED |
Department of Educational Administration and Planning, Faculty of Psychology and Education, University of Tehran, Tehran, Iran
نشانی اینترنتی
https://jamp.sums.ac.ir/article_51277_47f5476c52b239f0ecee19645062bd4e.pdf
فایل مقاله
فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده
en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به:
صفحه اول پایگاه
|
نسخه مرتبط
|
نشریه مرتبط
|
فهرست نشریات