assistant
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Assist AI Demonstration- Faculty Assist AI FAQ
- Tips, Tricks, & Frequently Asked Questions - Assist AI Faculty Edition
- Getting Started
- 1. What is Assist, and how does it benefit nursing educators?
- 2. How can I access Assist within Nursing Central?
- 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?
- 7. What support is available if I have questions or need help with Assist?
- 8. I was exploring the Learning Center and came across this FAQ. How do I learn more and get access to 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?
- 3. 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?
- 7. How does Assist integrate with Unbound Scenarios?
- 8. How do you keep bias out of the Assistants’ output?
- Need further assistance?
- Generative AI in Nursing Central: An Interactive Lunch & Learn Series
- Faculty FAQ
- Nursing Central Tutorials
- OER in Nursing: Modern Content, AI, and Active Learning
- Integrating Next Gen NCLEX Practice into Debriefing
- OADN: Virtual Simulation Reviews
- Research Summary: Clark State College's Experience with AI in Nursing Education
- Inside Our AI Journey: From Faculty Implementation to Student Impact
- The Next Steps: Implementation in Pre-Licensure Nursing Education
- Research Summary: Clark State College's Experience with AI in Nursing Education - Ongoing Evaluation and Expansion
- Diversity, Equity, Inclusivity in Virtual Simulation
- Leveraging the Power of Generative AI in Designing Simulation Scenarios
- Elevating Education with AI: Practical Strategies for Nurse Educators
- Examining Biases Within Your Program - Tips for Supporting All Faculty
- Incorporating Free Virtual Products into Active Learning Strategies Using Next Generation NCLEX
- Nurse Educators Discuss Preparing Students for Practice and NGN with Unbound Scenarios
- Generative AI in Nursing Education