Teaching and learning in nursing, Journal Year: 2025, Volume and Issue: unknown
Published: April 1, 2025
Language: Английский
Teaching and learning in nursing, Journal Year: 2025, Volume and Issue: unknown
Published: April 1, 2025
Language: Английский
Nurse Education in Practice, Journal Year: 2025, Volume and Issue: unknown, P. 104345 - 104345
Published: March 1, 2025
Language: Английский
Citations
0Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 11
Published: Jan. 30, 2025
Large Language Models (LLMs) like ChatGPT, Gemini, and Claude gain traction in healthcare simulation; this paper offers simulationists a practical guide to effective prompt design. Grounded structured literature review iterative testing, proposes best practices for developing calibrated prompts, explores various types techniques with use cases, addresses the challenges, including ethical considerations using LLMs simulation. This helps bridge knowledge gap on LLM simulation-based education, offering tailored guidance Examples were created through testing ensure alignment simulation objectives, covering cases such as clinical scenario development, OSCE station creation, simulated person scripting, debriefing facilitation. These provide easy-to-apply methods enhance realism, engagement, educational simulations. Key challenges associated integration, bias, privacy concerns, hallucinations, lack of transparency, need robust oversight evaluation, are discussed alongside unique education. Recommendations provided help craft prompts that align objectives while mitigating these challenges. By insights, contributes valuable, timely seeking leverage generative AI’s capabilities education responsibly.
Language: Английский
Citations
0Teaching and learning in nursing, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 1, 2025
Language: Английский
Citations
0Nurse Educator, Journal Year: 2025, Volume and Issue: unknown
Published: April 1, 2025
Artificial intelligence (AI) integration in nursing simulation education is growing, yet understanding its implementation across phases remains limited. To map AI applications prebriefing, simulation, and debriefing education. Following Arksey O'Malley's framework the Preferred Reporting Items for Systematic Reviews Meta-Analyses Extension Scoping guidelines, we searched PubMed, CINAHL Complete, EMBASE, Scopus, Web of Science (2015-2024) using terms related to students, artificial Studies were included if they involved prelicensure AI-integrated education, peer-reviewed English publications. Data charted population, concept, context framework. Analysis 14 articles revealed prebriefing (chatbots; n = 2), (virtual environments; 11), (feedback; 1). Benefits standardization personalized learning, while challenges technical limitations faculty readiness. shows potential enhancing through standardized learning experiences but requires structured support evaluation methods.
Language: Английский
Citations
0Teaching and learning in nursing, Journal Year: 2025, Volume and Issue: unknown
Published: April 1, 2025
Language: Английский
Citations
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