Smart Financial Competition: AI-Powered Game-Based e-Learning and immersive experience

Overview

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 seminar 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.