This presentation introduces “Smart Financial Competition: AI-Powered Game-Based e-Learning and Immersive Experience,” an interdisciplinary teaching model integrating artificial intelligence (AI), game-based learning, digital learning, and national security education. Designed for secondary students (F3-6), this research-based pedagogical approach incorporates an original financial literacy simulation game, “Value Maximizer,” where students make investment decisions in a risk-free simulated environment to enhance financial literacy, decision-making skills, and economic reasoning. This model is grounded in Constructivist Learning Theory (Jonassen, 1999), Situated Learning Theory (Lave & Wenger, 1991), and Behavioral Economics Theory (Kahneman & Tversky, 1979). It leverages AI-assisted pre-learning, game-based financial decision-making, and AI-driven post-activity reflections, ensuring students develop analytical thinking and risk management skills while understanding the intersection of financial markets and national economic stability. The session will demonstrate how AI-enhanced adaptive learning, immersive experiences, and interdisciplinary strategies can optimize students’ engagement and financial competency in a data- driven, interactive learning environment.

The primary outcomes of this research-driven project include: Enhanced Financial Literacy and Decision-Making:
Students developed stronger financial awareness through AI-assisted learning and risk-based decision-making. Data-Driven Learning Insights: AI-powered analytics improved teachers’ ability to personalize instruction and evaluate students’ financial strategies. Gamification and AI in Education: The game-based approach increased student engagement and retention, with measurable improvements in market analysis skills. Integration of National Security Education: Students learned the role of policy interventions in market stability, aligning with economic security education frameworks. The project demonstrates how AI, game-based simulations, and digital education can enhance financial competency and strategic thinking. Future expansions will explore blockchain integration and deeper financial forecasting models.

Innovative Financial Education Models Learn how AI-driven, game-based, and immersive digital learning enhances students’ financial literacy, decision-making, and critical thinking. AI and Data-Driven Personalized Learning Understand how AI-powered analytics can provide real-time feedback, improving students’ financial planning and investment strategies. National Security and Financial Decision-Making Discover how integrating economic policy simulations in financial literacy education can deepen students’ understanding of market stability and policy impacts. This presentation will provide practical frameworks, real-world applications, and empirical insights into AI-driven financial education.