Learning by Making with Generative AI: A Faculty Development Design Case
Grounding GenAI training in hands-on, playful experimentation helps faculty build literacy, but some still crave structured guidance.
Hunhui Na, Mohan Yang
Integrating generative AI into 3D educational game design enables rapid prototyping of personalized and adaptive learning experiences.
Researchers collaborated with teachers and developers to prototype a ChatGPT-integrated 3D cybersecurity escape room game for K-12 students in just two months. The integration of generative AI allowed the team to create personalized, adaptive gameplay and expedited the overall content development process. Initial usability testing yielded positive feedback while highlighting technical and pedagogical challenges during rapid AI prototyping.
Instructional designers can leverage generative AI to rapidly build complex, adaptive dialogue and personalized feedback systems in educational games. When using AI for content generation, teams must establish tight collaborative review loops with subject matter experts to verify accuracy. Designers should also anticipate technical integration hurdles and allocate sufficient time for testing AI behavior in real-time play.
Grounding GenAI training in hands-on, playful experimentation helps faculty build literacy, but some still crave structured guidance.
Generative AI is rapidly reshaping higher education, forcing institutions to rethink teaching, learning, and institutional strategy.
As AI automates entry-level jobs, instructional designers must shift focus from teaching basic answers to cultivating deep inquiry skills.
Change point detection in learning analytics reveals exactly when and how different gamification strategies shift student behaviors.
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