Current issue Volume 21; 2024
- Discovering social learning ecosystems during clinical clerkship from United States medical students’ feedback encounters: a content analysis Anna Therese Cianciolo, Heeyoung Han, Lydia Anne Howes, Debra Lee Klamen, Sophia Matos J Educ Eval Health Prof. 2024;21:5. Research articleFebruary 28, 2024
- ChatGPT (GPT-4) passed the Japanese National License Examination for Pharmacists in 2022, answering all items including those with diagrams: a descriptive study Hiroyasu Sato, Katsuhiko Ogasawara J Educ Eval Health Prof. 2024;21:4. Research articleFebruary 28, 2024
- Development and validity evidence for the resident-led large group teaching assessment instrument in the United States: a methodological study Ariel Shana Frey-Vogel, Kristina Dzara, Kimberly Anne Gifford, Yoon Soo Park, Justin Berk, et al. J Educ Eval Health Prof. 2024;21:3. Research articleFebruary 23, 2024
- Presidential address 2024: the expansion of computer-based testing to numerous health professions licensing examinations in Korea, preparation of computer-based practical tests, and adoption of the medical metaverse Hyunjoo Pai J Educ Eval Health Prof. 2024;21:2. EditorialFebruary 20, 2024
- Importance, performance frequency, and predicted future importance of dietitians’ jobs by practicing dietitians in Korea: a survey study Cheongmin Sohn, Sooyoun Kwon, Won Gyoung Kim, Kyung-Eun Lee, Sun-Young Lee, et al. J Educ Eval Health Prof. 2024;21:1. Research articleJanuary 2, 2024
- ReviewMar 15, 2024 Opportunities, challenges, and future directions of large language models, including ChatGPT in medical education: a systematic scoping review Xiaojun Xu, Yixiao Chen, Jing Miao J Educ Eval Health Prof. 2024;21:6.
- Research articleFeb 28, 2024 Discovering social learning ecosystems during clinical clerkship from United States medical students’ feedback encounters: a content analysis Anna Therese Cianciolo, Heeyoung Han, Lydia Anne Howes, et al. J Educ Eval Health Prof. 2024;21:5.
- Research articleFeb 28, 2024 ChatGPT (GPT-4) passed the Japanese National License Examination for Pharmacists in 2022, answering all items including those with diagrams: a descriptive study Hiroyasu Sato, Katsuhiko Ogasawara J Educ Eval Health Prof. 2024;21:4.
- Research articleFeb 23, 2024 Development and validity evidence for the resident-led large group teaching assessment instrument in the United States: a methodological study Ariel Shana Frey-Vogel, Kristina Dzara, Kimberly Anne Gifford, et al. J Educ Eval Health Prof. 2024;21:3.
- EditorialFeb 20, 2024 Presidential address 2024: the expansion of computer-based testing to numerous health professions licensing examinations in Korea, preparation of computer-based practical tests, and adoption of the medical metaverse Hyunjoo Pai J Educ Eval Health Prof. 2024;21:2.
- Research articleJan 2, 2024 Importance, performance frequency, and predicted future importance of dietitians’ jobs by practicing dietitians in Korea: a survey study Cheongmin Sohn, Sooyoun Kwon, Won Gyoung Kim, et al. J Educ Eval Health Prof. 2024;21:1.
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- No difference in factual or conceptual recall comprehension for tablet, laptop, and handwritten note-taking by medical students in the United States: a survey-based observational study1,863
- Are ChatGPT’s knowledge and interpretation ability comparable to those of medical students in Korea for taking a parasitology examination?: a descriptive study1,802
- Can an artificial intelligence chatbot be the author of a scholarly article?1,497
- Common models and approaches for the clinical educator to plan effective feedback encounters1,312
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- Are ChatGPT’s knowledge and interpretation ability comparable to those of medical students in Korea for taking a parasitology examination?: a descriptive study61
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- Application of computer-based testing in the Korean Medical Licensing Examination, the emergence of the metaverse in medical education, journal metrics and statistics, and appreciation to reviewers and volunteers23
- Issues in the 3rd year of the COVID-19 pandemic, including computer-based testing, study design, ChatGPT, journal metrics, and appreciation to reviewers13