Rapidly Prototyping an Immersive 3D Escape Room Game Empowered by Generative AI for Cybersecurity Training
Integrating generative AI into 3D educational game design enables rapid prototyping of personalized and adaptive learning experiences.
Razak, I. A., Rahiman, N. A., & Shukery, N. M.
For effective constructivist serious games, focus on three key design elements: learner autonomy, sensory feedback, and clear objectives.
Researchers conducted a systematic review of 39 studies to map specific game design elements to constructivist learning principles in serious games. They found that the most effective and frequently supported design elements are 'imposed choices,' 'sensations,' and 'objectives.' These elements map directly to core constructivist factors like problem-solving, active learning, interaction, and discovery.
When building educational games, ensure learners have meaningful choices that drive the narrative or problem-solving path to support autonomy. Pair these choices with rich sensory feedback and explicit, authentic learning objectives to ground the experience. Avoid arbitrary gamification by aligning game mechanics directly with active learning goals.
Integrating generative AI into 3D educational game design enables rapid prototyping of personalized and adaptive learning experiences.
Grounding GenAI training in hands-on, playful experimentation helps faculty build literacy, but some still crave structured guidance.
As AI automates entry-level jobs, instructional designers must shift focus from teaching basic answers to cultivating deep inquiry skills.
In online discussions, students synthesize and integrate ideas most deeply when they see the practical utility of the topic.
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