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A Data-Driven Business Decision Making Education and Growth Simulation Platform using Artificial Intelligence and 3D Modeling

Authors

Jiadong Gu1 and Moddwyn Andaya2, 1USA, 2California State Polytechnic University, USA

Abstract

My research focuses on a gamified approach to teaching financial education, targeting students aged 10-18 [1]. I outline a method involving a simulated retail environment where players manage a retail store, enabling them to understand economic concepts through interactive gameplay. In my method analysis, I discuss three key algorithms: ordering items, tracking sales, and evaluating business performance. Each algorithm incorporates real-time data and complex calculations to simulate realistic retail operations, such as inventory management and sales probabilities based on customer foot traffic, location premium, and time of day. I aim to assess student preferences for this gamified learning model compared to traditional platforms like textbooks or Khan Academy, using a system of surveys to gather demographic information and feedback that provided excellent and satisfactory results [2]. The issue of financial literacy is urgent, highlighting statistics that reveal a significant knowledge gap in our youth.

Keywords

Financial education, Gamified education, Retail simulation