Artificial Intelligence Empowering Higher Education: Exploration of Teaching Mode Innovation and Quality

The rapid development of artificial intelligence technology has brought unprecedented opportunities and challenges to higher education. This paper aims to explore how artificial intelligence technology empowers teaching mode innovation in higher education and analyzes the pathways and influencing factors for improving teaching quality. The research adopts theoretical analysis, literature review, and comparative research methods to examine the current status and trends of artificial intelligence applications in higher education. The study finds that artificial intelligence demonstrates powerful empowering effects in personalized learning support, intelligent tutoring and Q&A, automated teaching assessment, and course content optimization, significantly improving teaching efficiency and learning experience, while also being accompanied by risks such as data privacy, algorithmic bias, and academic ethics. This paper constructs an analytical framework for artificial intelligence empowering teaching mode innovation and quality enhancement in higher education, and proposes forward-looking insights for future research directions, providing theoretical reference and practical enlightenment for the digital transformation of higher education institutions.