Business & IT · Vol. XVI(1) · 2026
A Conceptual Exploration to Integrate Artificial Intelligence into Academic Quality Management Systems
Abstract
South African private higher education institutions (PHEIs) face several challenges when integrating artificial intelligence (AI) into their academic quality management frameworks. These challenges revolve around safeguarding academic integrity, acting ethically, and staying up to date with regulatory changes. To respond, the study takes a conceptual lens to examine how artificial intelligence can be embedded within the Quality Management System (QMS) of South African private higher education institutions. The intention is to connect everyday institutional practice with a framework that supports quality assurance while remaining sufficiently flexible to support future research and policy development. Drawing on existing theory and current scholarship, the framework demonstrates how AI can be integrated into sensitive areas, such as student assessment, personalised learning, and research. In doing so, it extends theoretical understanding while providing practical guidance for educational leaders and policymakers. The resulting framework bridges international approaches to AI integration with South Africa’s quality-assurance environment, providing a foundation for subsequent empirical testing in emerging higher-education contexts.
Keywords
Artificial Intelligence, Quality Management Systems, Private Higher Education Institutions, South Africa, Academic Management, Integration, Education, Innovation
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How to cite (APA)
Roxanne Bosch, Christo Bisschoff, Christoff Botha, Alistair Mokoena (2026). A Conceptual Exploration to Integrate Artificial Intelligence into Academic Quality Management Systems. Business & IT, Vol. XVI(1), pp. 57–77. https://doi.org/10.14311/bit.2026.01.06