SIMULATION-BASED AND GAME-BASED LEARNING IN FINANCE EDUCATION: DESIGN MECHANISMS, APPLICATIONS, RISKS, AND FUTURE DIRECTIONS

Abstract

Finance education requires more than recalling concepts or applying isolated formulas. Learners must coordinate information, make sequential decisions under uncertainty, observe delayed consequences, and explain why an apparently successful choice may still be financially unsound. Simulations and serious games address this challenge by turning a financial model into a rule-governed environment in which learners can act, receive feedback, revise strategies, and compare outcomes without incurring real losses. This paper reviews the technical and instructional foundations of simulation-based and game-based learning in finance education. It distinguishes simulations, serious games, and gamification; explains scenario engines, decision loops, feedback systems, debriefing, and process-based assessment; and examines applications in personal finance, investment, enterprise finance, accounting, and monetary policy. The review argues that learning does not result from competition or engagement alone. Reliable outcomes depend on alignment among intended competencies, model validity, action and reward structures, feedback, guided reflection, and transfer assessment. Major risks include misleading simplification, short-horizon incentives, unequal prior gaming experience, inaccessible interfaces, invalid learning analytics, and weak transfer to real financial behavior. An outcome-aligned design framework is proposed to connect model construction, instructional support, assessment, and governance. Future development should emphasize adaptive but transparent scenarios, explainable learning analytics, collaborative multi-role simulations, controlled use of authentic data, and longitudinal evaluation. Simulations and games are most valuable as structured environments for deliberate financial practice, not as substitutes for instruction, reflection, or professional judgment.