190873 research outputs found
Sort by
Work volition: A systematic review of the literature and agenda for future research
No full textWork volition: A systematic review of the literature and agenda for future researc
Agronomic management and soil properties dominate the production of pulses in China
No full textAgronomic management and soil properties dominate the production of pulses in Chin
AI's energy paradox: Governing the trilemma of security, justice, and sustainability
No full textAI's energy paradox: Governing the trilemma of security, justice, and sustainability</p
Trademarks: Position Marks; Product Marks and Service Marks
No full textThe Encyclopedia of Intellectual Property Law is quite simply the definitive reference work in the field
Language, culture and communication vulnerability – Letter on Istanboulian et al.
No full textLanguage, culture and communication vulnerability – Letter on Istanboulian et al
Consumer trust facilitates acceptance of cultivated meat
No full textConsumer trust facilitates acceptance of cultivated mea
EcoSLA-RL: A Reinforcement Learning-Based Approach for Optimizing SLA and Execution Costs in Cloud Data Centers
No full textEcoSLA-RL: A Reinforcement Learning-Based Approach for Optimizing SLA and Execution Costs in Cloud Data Centers</p
Civil Society, Extremism, and the Path Forward
No full textCivil Society, Extremism, and the Path Forwar
ESA-Net: An Efficient and Lightweight Model for Medical Image Segmentation
No full textESA-Net: An Efficient and Lightweight Model for Medical Image Segmentatio
AI-Powered Virtual Reality Simulation for Clinical Handover Training
No full textBackground:
Clinical handover is critical for patient safety in nursing; however, traditional methods often lack immersion, realism, and personalized feedback, which hinders effective student training.
Problem:
Nurse educators face technical challenges and limited practical guidance when integrating generative artificial intelligence (GenAI) and virtual reality (VR) into handover education.
Approach:
This article shares our developmental framework for integration, consisting of a 3-layer architecture: system (ChatGPT integration for adaptive responses), interaction (gamification interface), and presentation (immersive VR with Identification, Situation, Background, Assessment, Recommendation [ISBAR]-based AI avatars modeled after actual instructors).
Results:
Pilot testing with undergraduate students showed enhanced authenticity through real-person avatars and real-time ISBAR feedback, with challenges in nonverbal synchronization identified for future improvements.
Conclusions:
This developmental framework and implementation checklist provide nursing educators with systematic guidance for deploying AI-VR technology in clinical handover training, positioning nursing education at the forefront of pedagogical innovation