A Game-Theoretic Analysis of AI Integration in Education

This paper investigates AI integration in the field of education from the perspective of game theory, which focuses on the strategic interactions among three key stakeholders: AI systems, teachers, and educational institutions. Strategies and payoff functions for the three stakeholders are proposed, while considering factors such as enhanced teaching and benefit from AI, and the potential conflicts among the stakeholders arising from AI integration. Our analysis covers both discrete and continuous models to capture the range of strategic interactions and their outcomes. The results reveal the existence of a threshold for the benefit from AI integration to enable cooperation among the stakeholders in AI integration, as well as the collaborative effort required to promote AI integration in education instead of one party making the majority of the effort. Our findings highlight the need for carefully designed AI policies and collaborative strategies to achieve effective AI use in education. This preliminary work hopefully provides a foundation for further research on strategic decision-making and policy development in the field of intelligent education.