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Generative AI Ethics in Open Distance Learning: A Theory of Moral Development Approach

Generative AI Ethics in Open Distance Learning: A Theory of Moral Development Approach
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Author(s): Paul Othusitse Dipitso (Postgraduate Research and Development Office, University of the Witwatersrand, South Africa)
Copyright: 2026
Pages: 28
Source title: Advancing Access, Self-Directed Learning, and Ethics in Open Distance E-Learning
Source Author(s)/Editor(s): Olufemi Timothy Adigun (University of South Africa, South Africa)and Sindile Amina Ngubane (University of South Africa, South Africa)
DOI: 10.4018/979-8-2600-1443-1.ch009

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Abstract

The rapid evolution of Artificial Intelligence (AI) in higher education continues to influence teaching and learning. The sustained adoption of generative AI in universities demonstrates the value of enhancing learning by using AI applications. Although these technological developments have revolutionalised learning they have resulted in some ethical and moral implications that threaten academic integrity. The chapter examines generative AI ethics in open distance learning from a moral development perspective. The content analysis revealed the need for open distance learning to promote ethical practices concerning the use of generative AI to enhance academic integrity and justice. The chapter concludes by recognising that the ethical challenges and dilemmas of generative AI can be addressed by intentional policy making and raising awareness on ethical practices related to AI. It recommends that universities should capacitate both students and educators on generative AI ethics and develop critical generative AI literacies to empower students to grapple with complex AI issues.

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