Smart Financial Competition: AI-Powered Game-based e-Learning and Immersive Experience

Overview

in this open lesson, the speaker 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 (Grades 9-12), this research-based pedagogical approach incorporates an original financial literacy simulation game, ‘Value Maximiser’, 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 open lesson will demonstrate how AI-enhanced adaptive learning, immersive experiences, and interdisciplinary strategies can optimise students' engagement and financial competency in a data-driven, interactive learning environment.