Thomas Clark
2025-02-04
Adaptive AI-Driven Opponent Modeling in Asymmetric Multiplayer Mobile Games
Thanks to Thomas Clark for contributing the article "Adaptive AI-Driven Opponent Modeling in Asymmetric Multiplayer Mobile Games".
This paper explores the use of mobile games as learning tools, integrating gamification strategies into educational contexts. The research draws on cognitive learning theories and educational psychology to analyze how game mechanics such as rewards, challenges, and feedback influence knowledge retention, motivation, and problem-solving skills. By reviewing case studies of mobile learning games, the paper identifies best practices for designing educational games that foster deep learning experiences while maintaining player engagement. The study also examines the potential for mobile games to address disparities in education access and equity, particularly in resource-limited environments.
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