Redefining Financial Derivatives Education through PEDAGOGYFUSION5: Transforming Futures and Options Learning via AI Integration

Abstract

This paper introduces PEDAGOGYFUSION5, an AI-driven pedagogical framework designed to transform financial derivatives education, particularly in the teaching of futures and options. Traditional finance education often faces challenges in bridging theoretical constructs with real-world financial decision-making, resulting in limited student engagement and conceptual understanding. PEDAGOGYFUSION5 addresses this gap by integrating artificial intelligence, simulation-based learning, experiential pedagogy, and ethical finance reasoning into a unified instructional model. The framework is structured around five core dimensions: conceptual mastery, AI-assisted visualization, real-time market simulation, applied problem-solving, and ethical financial reasoning. Methodologically, this study adopts a conceptual design science approach, drawing on an extensive synthesis of literature in finance education, experiential learning theory, and AI-enhanced pedagogy to develop and refine the framework. The findings suggest that PEDAGOGYFUSION5 enhances cognitive comprehension of complex derivative concepts, improves applied decision-making skills through immersive simulation, increases learner engagement, and strengthens the integration of ethical considerations in financial practice. Overall, the study contributes to finance education literature by proposing a scalable, technology-enhanced pedagogical model aligned with Industry 4.0 and the evolving digital finance ecosystem.