Constructing a "Teacher-Student-Machine" Three-Dimensional Integrated S-tes Teaching Mode Based on Artificial Intelligence Technology: A Case Study of College Physics

This study introduces an AI-based S-TES teaching model designed to enhance personalized education in college physics. The model integrates self-testing, self-evaluation, and self-study phases to create detailed student profiles, which help educators tailor their instruction to individual student needs. The study highlights the use of AI for both pre-course and post-course assessments, providing detailed analysis and personalized feedback to improve educational outcomes. The research confirms the potential of AI in education, suggesting future exploration of AI applications across various subjects and educational levels to foster broader educational innovation.