Generative AI in curriculum development in higher education

Abstract

Abstract This chapter explores the transformative role of Generative Artificial Intelligence (Generative AI) in reshaping the development of higher education curricula. Generative AI, as exemplified by advanced models like GPT-3, employs sophisticated algorithms to generate scientifically relevant content, surpassing traditional norms of teaching and learning. The overview delves into the fundamental principles of Generative AI, emphasizing the significance of generative models such as Generative Adversarial Networks (GANs) and the technical intricacies involved in their training. Essentially, the discourse on the significance of Generative AI in curriculum development underscores its disruptive potential in education. By providing personalized and adaptable pathways for growth, Generative AI addresses the diverse needs of students, fostering engagement and comprehension. It also underscores the role of Generative AI in overcoming limitations in traditional education, facilitating the creation of virtual laboratories and simulations that enhance hands-on learning.

Keywords: Generative Artificial Intelligence (Generative AI), Curriculum Development, Higher Education, GPT-3