The Impact and Future of AI-Enhanced Teaching Methods in the Use of Business Simulations

Introduction

The integration of Artificial Intelligence (AI) in education, particularly in business simulation studies, represents a transformative shift in teaching methodologies. AI technology has enabled the construction of complex business models featuring both human and software-agent participation, which significantly enhances decision-making knowledge and game balance in educational simulations (Kobayashi et al., 2003). This integration signifies a broader shift in educational paradigms, necessitating a redesign of education systems to prepare future generations for a rapidly evolving technological landscape (Alkashri et al., 2020).

In an era where technology and education increasingly intersect, AI stands at the forefront of transformative educational methodologies. The introduction of AI into teaching and learning environments heralds a new dawn for personalized education, offering unprecedented opportunities for student engagement, adaptive learning, and data-driven insights into learning processes. By harnessing AI's capabilities, educators can tailor their teaching strategies to meet the diverse needs of students, creating immersive and interactive learning experiences that transcend traditional boundaries. This chapter illuminates the pivotal role AI plays in redefining educational paradigms, particularly through the lens of business simulations, where its impact on decision-making, problem-solving, and strategic thinking skills is profound and far-reaching.

Recent advancements in AI, such as knowledge representation and frame-based simulation, have found practical applications in both education and business simulation studies, enabling more dynamic and contextually rich learning environments. These technological enhancements not only improve the educational experience but also significantly contribute to the development of essential skills, such as entrepreneurial attitude and decision-making, in business simulation games (Jia et al., 2022). Moreover, AI's role in education extends to reducing instructors' burdens, improving students' contextualized learning experiences, and advancing sophisticated tutoring systems (Ojha et al., 2023). These applications highlight AI's capability to create personalized teaching-learning environments characterized by features such as pattern recognition, decision-making, and problem-solving (Kumar et al., 2019). The amalgamation of AI in business simulation studies not only caters to the current educational needs but also aligns with the future trajectory of business leadership and management, addressing global sustainability challenges and transforming traditional educational frameworks (Goralski et al., 2020).

In the rapidly evolving digital age, the integration of AI into educational practices presents an unparalleled opportunity to redefine pedagogical methodologies and enhance learning experiences. This study is motivated by the urgent need to understand and harness the potential of AI-enhanced teaching methods, particularly in the field of business simulations. As traditional educational approaches struggle to keep pace with the dynamic demands of the global business environment, AI offers a transformative solution. It promises to not only augment educational outcomes but also to personalize learning, thereby preparing students more effectively for the complexities of the modern workforce. By investigating the impact and future implications of AI in business simulation-based education, this research seeks to illuminate pathways towards more engaging, efficient, and adaptive educational models, ultimately contributing to the discourse on the future of learning in an increasingly digital world.