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Examining Biases Within Your Program - Tips for Supporting All Faculty- Nursing Templates
- 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?
- 5. Can I align the content with specific levels of Bloom’s Taxonomy or cognitive aspects of the Clinical Judgment Measurement Model?
- 8. How do you keep bias out of the Assistants’ output?
- Faculty FAQ
- Tips, Tricks, & Frequently Asked Questions - Unbound Scenarios Faculty Edition
- 10. What is the significance of the formative activities?
- 2. Am I able to modify the scenarios?
- 4. If a student starts a scenario, closes it, and returns, will they still be able to complete the scenario?
- 5. Can I or a student reset a scenario?
- 7. Do students need to be connected to wifi to use the product?
- 9. Are you looking for more educators to join this community?
- The Simulation Advantage for Next Generation NCLEX (NGN)
- Wellness Resources
- Research Summary: Clark State College's Experience with AI in Nursing Education - Ongoing Evaluation and Expansion
- Inside Our AI Journey: From Faculty Implementation to Student Impact
- Coronavirus: What Nurses Need To Know To Be Prepared
- Generative AI in Nursing Education
- Diversity, Equity, Inclusivity in Virtual Simulation
- Coronavirus Quiz
- Coronavirus Preparedness Checklist
- Nursing Central Overview
- Diversity, Equity, and Inclusion in Nursing Education
- Including Health Equity in Your Teaching Practice: Case Studies and Clinicals
- Preparing Future Nurses to Use Emotional Intelligence in Patient Care
- The Conscious Conversation of Unconscious Bias: Discussing Implicit Bias and Microaggressions
- Nursing Education: Infusing Inclusion, Embracing Equity
- Pathways to Inclusive Nursing
- The Next Steps: Implementation in Pre-Licensure Nursing Education
- OADN: Virtual Simulation Reviews
- Considerations For COVID-19 Preparedness And Response In U.S. Schools Of Nursing
- Step #1
- Medication Error Criminalization: Nurse Educators Discuss Patient Safety Targeting Medication Administration and Just Culture
- Prebrief/Preparation Activities with Next Generation NCLEX Integration
- Incorporating Free Virtual Products into Active Learning Strategies Using Next Generation NCLEX
- Integrating Next Gen NCLEX Practice into Debriefing
- Simulation: What Is It and What Makes It Work?
- Nurse Educators Discuss Preparing Students for Practice and NGN with Unbound Scenarios
- Unbound Scenarios: Enhancing Clinical Judgment in Nursing
- Avoiding Common DEI Traps: A Conversation with Dr. Grace Norris
- Unbound Scenarios: Enhancing Clinical Judgment in the Classroom
- Research Summary: Clark State College's Experience with AI in Nursing Education