Abstract
In the rapidly evolving landscape of digital education, generative AI presents a transformative potential for creating immersive and personalized learning experiences. This project focuses on the design and implementation of an interactive learning game for students in a Master of Nurse Education program, utilizing Twine as the delivery platform. The game integrates AI-driven narratives and scenarios within an HTML framework and integrates into the existing learning management system. The objective is to enhance critical thinking and decision-making for nurse educators in designing learning experiences. The usefulness of the game will be evaluated through surveys administered to students enrolled in the course. These surveys will assess the game’s potential value, its impact on learner engagement and achievement, and its effectiveness in enhancing decision making skills for nurse educators. We report on these results in our session. By navigating the intersection of AI technology and nursing education, this project demonstrates how generative AI can reshape learning paradigms and contribute to the advancement of healthcare education.
Presenters
Jeffrey JonesDigital Learning Specialist, Teaching and Learning Center, Oregon Health & Science University, Oregon, United States Kevin Guevara
Instructional Technologist, Teaching and Learning , New York University, United States Michael Coriasco
Instructor, School of Nursing, Oregon Health and Science University, United States
Details
Presentation Type
Theme
KEYWORDS
Generative AI, Gamification, Game-Based Learning
