Navigating Generative Artificial Intelligence Adoption in Higher Education Through Kotter's Change Management Framework

Abstract

Using generative artificial intelligence (AI) has brought several opportunities and problems to higher education. This conceptual study examines how John Kotter’s Eight-Step Change Management process can be used to successfully and effectively adopt generative AI. There is a growing need for generative AI to be implemented in higher education because it facilitates individualised learning experiences, optimises operational efficiencies, and encourages creative pedagogy. However, issues with eliminating personal connection, compromising academic integrity, and moral conundrums must be properly thought through. This research uses Kotter’s approach to propose a way for higher education institutions to integrate generative AI into their current processes. The model’s emphasis on forging a common vision, instilling new behaviours into institutional culture, and generating a sense of urgency guarantees that adopting AI is consistent with ethical norms and educational goals. The study shows how Kotter’s methods might help institutions implement AI by using Cape Peninsula University of Technology (CPUT) in Cape Town, South Africa, as an example. By emphasising technological innovation, CPUT shows how AI may be included ethically and inclusively, protecting academic integrity and encouraging cooperation. This study focuses on how ethically responsible higher education institutions can handle the complexities of AI adoption to improve education’s quality, accessibility, and inclusivity.

Presenters

Faiq Waghid
Head of Deparment, Funani Centre for Higher Education Development, Cape Peninsula University of Technology, South Africa

Details

Presentation Type

Paper Presentation in a Themed Session

Theme

Technologies in Learning

KEYWORDS

Generative AI in Higher Education, Kotter’s Eight-Step, Change Management AI