Rapidly Prototyping an Immersive 3D Escape Room Game Empowered by Generative AI for Cybersecurity Training
Article Sidebar
Main Article Content
Abstract
The increasing frequency and sophistication of cyberattacks underscore the urgent need for cybersecurity education, particularly for K-12 students who are often vulnerable to digital threats. Despite its importance, access to cybersecurity education remains limited, especially in low-resourced schools. To address this gap, we developed a ChatGPT-integrated 3D immersive escape room game aimed at equipping K-12 students with essential cybersecurity skills. Over a two-month intensive design and development period, this design case details our iterative design process, collaboration with subject matter experts, game developers, and K-12 teachers, and the pivotal role of generative AI in enabling personalized and adaptive learning experiences. Alongside positive feedback from an early usability test, the study shares key challenges that naturally arose during the rapid prototyping process. This design case provides valuable insights into the creation of educational games, particularly in contexts requiring rapid prototyping.
Downloads
Article Details
Hunhui Na, University of North Carolina at Charlotte
Hunhui Na is an Assistant Professor of Learning, Design, and Technology at the University of North Carolina at Charlotte. His research explores technology-enhanced learning for STEM+CS.
Mohan Yang, Texas A&M University
Mohan Yang is an Assistant Professor in the Human Resource Development (HRD) program at Texas A&M University. His research examines technology-enhanced training and development for workforce development in the organizational and educational contexts.

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright © 2026 by the International Journal of Designs for Learning, a publication of the Association of Educational Communications and Technology (AECT), published by Indiana University Libraries Journals. Permission to make digital or hard copies of portions of this work for personal or classroom use is granted without fee, provided that the copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page in print or the first screen in digital media. Except as otherwise noted, the content published by IJDL is licensed under CC BY-NC-ND 4.0. A simpler version of this statement is available here.