Integrating Artificial Intelligence into Physics Education: The S-TES Teaching Model for Personalized Learning and Enhanced Outcomes

This study presents the S-TES teaching model, an artificial intelligence (AI)-driven personalized education system designed to generate detailed student profiles that enhance the effectiveness of teaching and learning. Incorporating self-assessment, self-evaluation, and educator-guided independent study, this model enables teaching strategies to be customized according to the unique attributes of each student. The practical implementation of this model has demonstrated significant benefits, with 90% of students reporting that it has helped to improve their learning outcomes and a 6.1% increase in comprehensive scores year-on-year. This research not only establishes a foundation for the integration of AI into university basic courses but also illustrates the potential of AI to enhance educational quality and efficiency, confirming the practical value of AI applications in educational settings.