AI in Higher Education: Addressing Challenges and Implementing Solutions

Abstract

In China, artificial intelligence (AI) technology is transforming higher education with unprecedented intensity and speed. Related research is continuously emerging, and investment funding is substantial. However, at present, multiple brands of AI platforms for teaching and examination coexist in universities. Moreover, these platforms exhibit "low-level interoperability alongside high barriers to integration," which further multiplies the workload of university faculty already facing significant role transitions, leaving them feeling overwhelmed. On the other hand, due to the use of AI, many noteworthy changes are occurring in teaching environments and students' learning processes. This paper elaborates on practical applications of AI in the field of higher education, analyzes the multidimensional role dilemmas faced by both faculty and students, and proposes solutions and measures. These include repositioning and reconstructing the roles of university faculty in the AI era, facilitating shifts toward role diversity, deepening teacher-student interaction and emotional connections, and cultivating comprehensive qualities adapted to the AI age.