generation
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Generative AI in Nursing Education
The Simulation Advantage for Next Generation NCLEX (NGN)
Prebrief/Preparation Activities with Next Generation NCLEX Integration
Leveraging the Power of Generative AI in Designing Simulation Scenarios
Generative AI in Nursing Central: An Interactive Lunch & Learn Series
Incorporating Free Virtual Products into Active Learning Strategies Using Next Generation NCLEX
Faculty Assist AI FAQ- Getting Started
- 1. What is Assist, and how does it benefit nursing educators?
- 3. What types of materials can I create with Assist?
- 4. How do I specify the course and objectives for the case study or test questions?
- 5. Can I access my previous Assist history?
- 6. Is it possible to provide feedback on the content produced by Assist?
- Unbound Intelligence
- 1. Does Assist use artificial intelligence (AI)? Where does the generated content come from?
- 2. How does Assist handle content accuracy and academic integrity?
- Assist & Clinical Judgment
- 1. How does Assist save time for nurse educators?
- 2. Can Assist help my students develop clinical judgment skills?
- 3. What types of questions does Assist generate?
- 4. What degree programs and curricular models does Assist support?
- 5. Can I align the content with specific levels of Bloom’s Taxonomy or cognitive aspects of the Clinical Judgment Measurement Model?
- 6. Can I edit the prompts and content generated by Assist?
Implementation Strategies
Coronavirus Preparedness Checklist
Faculty FAQ
From Novice to Confidence: A Conversation in Nursing Simulation
Unpacking AI Ethics in Nursing Education
Beyond the AI Hype: A Conversation About the Possibilities and Pitfalls of AI in Nursing Education
Best Practices for AI Integration in Simulation
Application of Nursing Central
Integrating Next Gen NCLEX Practice into Debriefing
Inside Nursing Central
Assist AI Demonstration
Unbound Scenarios
Step #1
OER in Nursing: Modern Content, AI, and Active Learning
Elevating Education with AI: Practical Strategies for Nurse Educators
Nurse Educators Discuss Preparing Students for Practice and NGN with Unbound Scenarios





