Abstract:
This article presents the qualitative phase of a mixed-methods study on Artificial Intelligence (AI) integration in Academic Quality Management Systems (QMS) at South African private higher education institutions. Twelve semi-structured interviews were conducted with senior leaders, quality assurance practitioners, academic staff, and IT specialists. Thematic analysis revealed eight interconnected themes: AI in Strategic Planning, AI Literacy and Competency Development, Ethics and Data Privacy, AI in Research and Big Data Analytics, AI-Driven Teaching, Learning, and Assessment, AI in Assessment and Evaluation, Environmental Impact of AI Technologies, and Interdisciplinary Collaboration. Thirty-three subcodes identified opportunities and constraints influencing institutional readiness for AI. Insights, including AI as a change agent, contributed to a context-specific model for AI integration in higher education quality systems.
APA citation:
ROXANNE BOSCH, CHRISTO BISSCHOFF, ALISTAIR MOKOENA CHRISTOFF BOTHA (2025). AI Integration in Academic Quality Management: Stakeholder Perspectives from South African Private Higher Education. Business & IT, Vol. XV(2), pp. 67-86, DOI: https://doi.org/10.14311/bit.2025.02.07.
Editorial information: journal Business & IT, ISSN 2570-7434, CreativeCommons license CC BY, published by CTU in Prague, 2025, https://bit.fsv.cvut.cz/
