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We examine the implications and transformative role generative artificial intelligence (AI) plays in higher education, from its roots to current applications in teaching, research, and administration, discussing trends that are redefining higher education and its outcomes. AI is not simply a technological advancement; it represents a paradigm shift that is revolutionizing how knowledge is imparted, received, and managed. A forward-looking perspective allows exploration of emerging trends and technologies that will define the next era of AI integration. Roles and interactions in the educational ecosystem will be reshaped, and by anticipating and planning for future advancements, we can harness AI’s capabilities to drive innovation, enhance learning, and address societal challenges. As generative AI is increasingly integrated into education, complex ethical considerations arise, including data privacy, security, algorithmic bias, and responsible use of AI, all of which must be addressed. Universities foster informed dialogues and development of robust policies that govern use of generative AI in higher education. Future research must, therefore, ensure that we understand what practices are effective and how to use them effectively.
Jacques et al. (2024) studied this question.