The Application and Development of Artificial Intelligence Technology in Higher Education Teaching

Abstract

As the core driving force of the new wave of technological revolution, artificial intelligence is profoundly influencing the teaching models and development direction of higher education. Based on a systematic literature review, this paper outlines the development history of artificial intelligence in higher education, covering the evolution from rule-based intelligent tutor systems to deep learning and multimodal interaction. It summarizes its typical applications in personalized learning support, intelligent assessment, virtual teaching environments, educational management, and resource optimization. The research shows that artificial intelligence, through data-driven teaching feedback and resource allocation, has achieved the scaling of personalized learning, dynamic improvement of teaching quality, and deep optimization of learning interactions. It effectively addresses the challenges of traditional education's "one-size-fits-all" approach and single evaluation system. In the future, the application of artificial intelligence in higher education will further progress towards multi-technology collaboration, interdisciplinary integration, and deep restructuring of educational equity, while facing challenges related to data privacy, algorithmic bias, and ethical standards. This paper argues that the value of artificial intelligence lies not only in technological empowerment but also in promoting the transformation of higher education towards a "fair and high-quality" direction, providing important support for cultivating innovative and critically thinking interdisciplinary talents.