Designing an AI-Powered Training Program for Virtual Characters in Educational Theater

The availability of Artificial Intelligence (AI) in the education sector has attracted a great interest in improving learning outcomes through personalized and adaptive learning experiences. In this paper, we discuss the design and implementation of a Proximal Policy Optimization (PPO) training program designed to enhance educational theater via virtual characters. The emphasis lies on exploring ways in which AI can deliver dynamic, precision-based, and captivating content to soar learner engagement and satisfaction. The study provides a framework where agents interact with an environment containing virtual characters, performing tasks and receiving immediate feedback. They are signed up on a mandatory basis and those who are covered by the educational system. This study attempts to fill this gap and provide new and effective learning tools for performing arts education, and in doing so, contributes important knowledge and information about the implementation of artificial intelligence technologies to create more immersive and impactful learning environments.