Enhancing Serious Games Through AI and Machine Learning

This paper explores a framework for integrating artificial intelligence (AI) and machine learning (ML) into serious games to create adaptive, immersive training environments. Grounded in established pedagogical models such as constructivism, cognitive apprenticeship, and experiential learning, the framework leverages AI/ML technologies to deliver personalized, real-time feedback and dynamically adjust learning pathways based on individual performance. By combining authentic, context-rich simulations with intelligent adaptive systems, this approach transforms serious games from static training tools into evolving, learner-centered ecosystems that enhance skill acquisition, critical thinking, and decision-making. Drawing on insights from interdisciplinary research and practical implementations, we highlight the transformative potential of AI and ML to improve training effectiveness and operational readiness.