In recent years, artificial intelligence (AI) has been increasingly integrated into educational settings worldwide. This study aims to explore the effectiveness of AI classroom teaching for Chinese undergraduate students, focusing on its influence on learning outcomes and student engagement. The research uses a quantitative approach, utilizing surveys and academic performance data to evaluate two main objectives: (1) the impact of AI teaching methods on academic performance compared to traditional instruction; (2) the level of student engagement and satisfaction with AI-based learning tools. The study sample includes undergraduate students from multiple universities in China, allowing for a diverse representation of various disciplines. Data will be collected through standardized tests, questionnaires, and academic records, ensuring the reliability and validity of the results. The findings will provide insights into the potential advantages and challenges of AI integration in higher education and inform future strategies for adopting AI in Chinese classrooms. By exploring both the academic and practical aspects of AI-driven education, this research aims to contribute valuable knowledge to the growing field of AI in education, particularly in the context of Chinese higher education. The results are expected to have implications for educators, policymakers, and AI developers interested in enhancing the effectiveness of educational technologies.