Results 211 to 220 of about 32,554 (300)

Use and Perceptions of Large Language Models Among Dental Students: Implications for Dental Education

open access: yesJournal of Dental Education, EarlyView.
ABSTRACT Purpose This study aimed to quantify the prevalence and use cases of large language models (LLMs) among dental students, estimate perceived usefulness (learning enhancement; time saved), characterize concerns (accuracy, ethics/integrity, appropriateness), and derive actionable implications for curriculum and clinical training.
Dhruv Khurana   +5 more
wiley   +1 more source

Artificial Intelligence Integration in Radiation Therapy Education: A Multi‐Modal Approach

open access: yesJournal of Medical Radiation Sciences, EarlyView.
Three artificial intelligence (AI) innovations were implemented in a radiation therapy degree to address a 130% enrolment increase. Students (n = 62) evaluated AI video lectures, assessment feedback, and communication simulations. Students strongly preferred AI for practice‐based learning over assessment, with communication simulations receiving 100 ...
Laura Feighan   +3 more
wiley   +1 more source

AI Policy and Literacy

open access: yes
Invited Guest Presentation at the 'R678 Emerging Learning Environments, Spring 2026' (Online Section, Week 14, Tuesday April 21, 2026), Indiana University. Course Instructor: Curt Bonk, Distinguished Professor, Indiana University  
openaire   +1 more source

Shaping the Future of Radiography Education: Lessons From ChatGPT and Generative AI

open access: yesJournal of Medical Radiation Sciences, EarlyView.
ChatGPT can provide structured guidance, support self‐assessment and scaffold learning processes that bridge classroom knowledge and clinical expectations. However, AI must be embedded in ways that uphold the core principles of radiographic practice: accuracy, reflective judgment, ethical reasoning, empathy and patient‐centred care.
Minh T. Chau   +5 more
wiley   +1 more source

AI Literacy for Everyone

open access: yes
AI has inherent limitations, ethical considerations, and environmental implications. First, AI generates outputs based on probabilistic patterns rather than genuine understanding.  Second, AI systems involve black-box effects, leading to hallucinations that cannot be fully eliminated.
openaire   +1 more source

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