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Dental Students' Learning Experience: Artificial Intelligence vs Human Feedback on Assignments.
Int Dent J
January 2025
Department of Basic Sciences, Faculty of Dental Sciences, University of Peradeniya, Peradeniya, 20400 Sri Lanka. Electronic address:
Objective: This study evaluated the effectiveness of an AI-based tool (ChatGPT-4) (AIT) vs a human tutor (HT) in providing feedback on dental students' assignments.
Methods: A total of 194 answers to two histology questions were assessed by both tutors using the same rubric. Students compared feedback from both tutors and evaluated its accuracy against a standard rubric.
Expert Consensus on Developing Information and Communication Technology-Based Patient Education Guidelines for Rheumatic Diseases in the Korea.
J Korean Med Sci
January 2025
Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Korea.
Background: This study aimed to identify key priorities for the development of guidelines for information and communication technology (ICT)-based patient education tailored to the needs of patients with rheumatic diseases (RDs) in the Republic of Korea, based on expert consensus.
Methods: A two-round modified Delphi study was conducted with 20 rheumatology, patient education, and digital health literacy experts. A total of 35 items covering 7 domains and 18 subdomains were evaluated.
Ethical engagement with artificial intelligence in medical education.
Adv Physiol Educ
January 2025
Assistant Professor, Department of Physiology, All India Institute of Medical Sciences, Deoghar, Jharkhand - 814152, India.
The integration of large language models (LLMs) in medical education offers both opportunities and challenges. While these AI-driven tools can enhance access to information and support critical thinking, they also pose risks like potential overreliance and ethical concerns. To ensure ethical use, students and instructors must recognize the limitations of LLMs, maintain academic integrity, handle data cautiously, and instructors should prioritize content quality over AI detection methods.
View Article and Find Full Text PDFPurpose: Chat Generative Pre-Trained Transformer (ChatGPT) may have implications as a novel educational resource. There are differences in opinion on the best resource for the Orthopaedic In-Training Exam (OITE) as information changes from year to year. This study assesses ChatGPT's performance on the OITE for use as a potential study resource for residents.
View Article and Find Full Text PDFCompetition increases the magnitude of dishonest reporting even when controlling for reward uncertainty.
Sci Rep
December 2024
Rotterdam School of Management, Erasmus University, Burgemeester Oudlaan 50, 3062 PA, Rotterdam, The Netherlands.
Does competition increase cheating? This question has been investigated by both psychologists and economists in the past and received conflicting answers. Notably, prior experimental work compared how people behaved under competitive and non-competitive tasks that were associated with different levels of uncertainty about the reward that people would receive. We aim to experimentally disentangle the effect of competition from the effects of uncertain rewards.
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