MBA, MSN, RN, Senior Program Mentor
Leavitt School of Health, Western Governors University
Utah, USA
Email: priya.m.majmundar@gmail.com
This paper investigates the development and evaluation of a game-based simulation builder designed to enhance nursing education through the integration of adaptive learning, artificial intelligence (AI), and virtual reality (VR) technologies. The simulation tool provides a dynamic, interactive platform where nursing students engage with virtual patients, making clinical decisions in a variety of simulated healthcare scenarios. The system adapts to individual learners' needs by adjusting the complexity of tasks based on performance, fostering a personalized learning experience. The effectiveness of the simulation was evaluated through pilot testing with nursing students, focusing on key metrics such as clinical skills, knowledge retention, and engagement. Results indicate that the simulation significantly improved decision-making accuracy and clinical competence. Despite facing challenges related to AI response accuracy and user accessibility, the tool demonstrated strong potential for transforming nursing education by offering an engaging, scalable, and adaptable training resource. Future enhancements will focus on integrating more complex scenarios, refining AI and VR features, and ensuring equitable access for diverse nursing programs.
Keywords: Game-based learning, Adaptive learning, Nursing education, Virtual reality, Artificial intelligence.
How to cite this article: Majmundar PR. A Game-Based Simulation Builder for Adaptive Learning, Design, and Nursing Care. Int J Drug Deliv Technol. 2026;16(6s): 737-748; DOI: 10.25258/ijddt.16.6s.100
Source of support: None
Conflict of interest: None