A new chapter explores the integration of artificial intelligence into serious games, aiming to overcome limitations like static scenarios and authoring bottlenecks. It discusses how AI, particularly large language models and reinforcement learning, can enable dynamic scenario variation, personalized feedback, and adaptive pacing for learners. The chapter also addresses the significant challenges in implementing these AI-enabled systems, such as ensuring validity, transparency, and learner trust, alongside practical concerns like computational cost and the need for more empirical evidence on long-term learning outcomes. AI
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IMPACT AI integration in serious games could enhance training effectiveness through personalized and adaptive learning experiences.
RANK_REASON The cluster contains an academic paper discussing AI applications. [lever_c_demoted from research: ic=1 ai=1.0]