Newsletter 1 : June 2025
- nusaihealthcommuni
- Jun 7
- 3 min read
Updated: Aug 22
Editor 1: Piyanee Yobas
Dear educators and researchers,
I am a principal facilitator and founder of the NUS AI health community. This community aims to provide a platform to share information concerning the application of AI in education and research. Newsletters are one of our platforms for sharing such information. Please feel free to explore AI-related articles with respective links provided in this first newsletter. Your comments are also welcome.
Warm Regards,
Associate Professor Dr. Piyanee Yobas (View Profile)
Principal facilitator, NUS AI Health Community
PhD, RN, Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore
Editor 2: Shavonne
Hi NUS AI Health Community Members,
I’m excited to welcome you to the first issue of our newsletter! This platform is here to support educators, students, and professionals in exploring the role of AI in nursing education. Whether you're just beginning or already applying AI in your practice, we hope to provide a safe and inclusive space for learning and sharing. Our aim is to make AI in nursing education more accessible, relevant, and collaborative for everyone. I look forward to growing and learning together with you all!
Warm Regards,
Shavonne (View Profile)
Research Assistant, NUS AI Health Community
Undergraduate, Major in Data Science and Analytics (Minor in Computer Science)
National University of Singapore
Introduction
This newsletter contains a curated list of foundational and forward-looking resources to support your understanding of AI in nursing education. We begin by exploring introductory materials that explain AI’s relevance and potential in the field. From there, we move into real-world applications, including AI-integrated curricula, teaching tools, and student perceptions. You’’ also find insights into ethical considerations and emerging technologies like VR, AR, and MR. Each article is chosen for its relevance, clarity, and practical value. We hope these resources inspire you to explore, reflect, and apply AI concepts in your educational or clinical practice. We’ll be diving deeper into each of these topics in the coming months.
Foundations of AI in Nursing Education
Artificial intelligence in nursing education: A review of AI-based teaching strategies
The role of artificial intelligence in shaping nursing education
AI Integration into Nursing Curricula
Artificial intelligence in nursing education: A scoping review
Artificial intelligence (AI) applications in healthcare and nursing education
Nursing faculty development program for digital teaching competence
Implementation Strategies and Pedagogical Applications
Explore how AI is practically applied within nursing education settings:
Navigating the integration of artificial intelligence in Nursing
Student Perceptions and Acceptance of AI Tools
Nursing students' perceptions of artificial intelligence using the Technology Acceptance Model
The predictive effect of nursing students' attitudes and acceptance of AI on competency levels
Developing AI Literacy in Nursing Education
Generative artificial intelligence literacy in nursing education
The role of AI literacy and innovation mindset in nursing students' career development
Practical Applications of AI in Nursing Training
AI-based technology in communication training in nursing education
Navigating the integration of artificial intelligence in nursing
Ethical and Social Implications of AI in Nursing
The Role of AI in Nursing Education and Practice: Umbrella Review
The Future of AI in Nursing Education
Artificial intelligence in nursing education: a bibliometric analysis
Special Topics: Simulation, Communication, and Emerging Tools
Artificial intelligence-based technology in communication training in nursing education
Nurse Education in Practice | Exploring the frontiers of Artificial Intelligence
Gamification with AI in Revolutionizing Nursing Education
Gamified CPR Training: ACLS Scenario Game
MedSimAI: AI-Powered Clinical Communication Simulator
Integration of AI with Immersive Technologies (VR/AR/MR) in Nursing Education
AI-Enhanced Virtual Reality (VR) Simulations
Mixed Reality (MR) Platforms with AI Integration
Augmented Reality (AR) Applications in Nursing Education
AI-Powered Virtual Standardized Patients
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