Exploring Challenges and Opportunities in the AI-Driven Professional Development of Higher Education Faculty

With the rapid development of generative artificial intelligence (AI) technology, its impact on the professional competency of higher education teachers is receiving increasing attention. However, the current research mostly focuses on the application of technical tools and seldom systematically explores the multiple challenges and deep opportunities faced by teachers in remodeling and ability transformation. This article focuses on the ability reconstruction of college teachers in the dimensions of digital literacy, reflective practice, and lifelong learning in the context of the AI era. Combining literature and typical cases, this research reveals the challenges that AI brings to teachers, and also brings opportunities such as improved teaching efficiency and personalized development paths. Based on the above analysis, this paper puts forward three suggestions: improving the teacher AI training system and enhancing its technical adaptability; Promote the deep integration of AI and teaching, and realizing a new paradigm of human-machine collaborative education; Reconstruct the teacher evaluation mechanism and strengthening the process and collaborative evaluation.