2025 NLN Education Summit
Opens Oct 8 2024 05:00 PM (EDT)
Deadline Dec 6 2024 11:00 PM (EST)
Description

To view an example of the Abstract Information Application, please click here.


For information and descriptions of this years tracks, please click here.

The Challenge: Unraveling the Mysteries of Artificial Intelligence In an era of rapid technological advancement, integrating Artificial Intelligence (AI) into nursing education has become essential. This NLN Summit will explore how AI can revolutionize nursing education by enhancing teaching methods, personalizing learning experiences, and equipping nurses with the skills necessary for today’s complex healthcare environment. AI offers innovative strategies for creating more engaging, adaptive, and effective learning environments, supporting competency-based education, simulating real-world clinical scenarios, and providing instant feedback to better prepare students for modern nursing practice.


The Summit will bring together thought leaders, educators, and technology experts to discuss the ethical implications, best practices, and future trends of AI in nursing education. Attendees will gain valuable insights into integrating AI-driven tools into curricula, overcoming potential barriers, and ensuring that AI enhances rather than replaces the human touch in nursing care. Join us to explore how AI can empower educators, inspire students, and ultimately improve patient outcomes through innovative, efficient, and effective education strategies.

Objectives:

  1. Engage with nurse educators as leaders to dialogue about developing faculty expertise in the integration of artificial intelligence to support competency-based education.
  2. Discuss the impact of artificial intelligence innovations and research on building the science of nursing education.
  3. Explore a shared vision of artificial intelligence in nursing education for the preparation of a future practice-ready workforce.

*If your submission is research, please include how your findings are applicable to nursing education.*

Apply

2025 NLN Education Summit


To view an example of the Abstract Information Application, please click here.


For information and descriptions of this years tracks, please click here.

The Challenge: Unraveling the Mysteries of Artificial Intelligence In an era of rapid technological advancement, integrating Artificial Intelligence (AI) into nursing education has become essential. This NLN Summit will explore how AI can revolutionize nursing education by enhancing teaching methods, personalizing learning experiences, and equipping nurses with the skills necessary for today’s complex healthcare environment. AI offers innovative strategies for creating more engaging, adaptive, and effective learning environments, supporting competency-based education, simulating real-world clinical scenarios, and providing instant feedback to better prepare students for modern nursing practice.


The Summit will bring together thought leaders, educators, and technology experts to discuss the ethical implications, best practices, and future trends of AI in nursing education. Attendees will gain valuable insights into integrating AI-driven tools into curricula, overcoming potential barriers, and ensuring that AI enhances rather than replaces the human touch in nursing care. Join us to explore how AI can empower educators, inspire students, and ultimately improve patient outcomes through innovative, efficient, and effective education strategies.

Objectives:

  1. Engage with nurse educators as leaders to dialogue about developing faculty expertise in the integration of artificial intelligence to support competency-based education.
  2. Discuss the impact of artificial intelligence innovations and research on building the science of nursing education.
  3. Explore a shared vision of artificial intelligence in nursing education for the preparation of a future practice-ready workforce.

*If your submission is research, please include how your findings are applicable to nursing education.*

Apply
Opens
Oct 8 2024 05:00 PM (EDT)
Deadline
Dec 6 2024 11:00 PM (EST)