article · Technium Education and Humanities
Artificial intelligence offers South African higher education institutions valuable opportunities to improve administrative efficiency, enable personalised learning, and support data-driven decision-making. However, realising these advantages is constrained by systemic hurdles, including inadequate technological infrastructure, socio-economic disparities, and ethical challenges surrounding data privacy and algorithmic bias. A qualitative review of secondary sources highlights that successful technology integration requires rigorous strategic planning, supported by structured frameworks such as the AI8-Point Model. To navigate these complexities, institutions must prioritise investment in foundational technical infrastructure, formulate clear policies governing ethical use and privacy, and follow established implementation frameworks. Furthermore, ongoing collaboration among policymakers, educational leaders, and external technology vendors is critical to modernising institutional operations and elevating educational outcomes across the tertiary sector.
Adopting artificial intelligence in higher education has the potential to streamline institutional operations and enhance student learning experiences. Understanding the operational constraints, ethical hazards, and infrastructural deficits enables educational leaders to introduce digital tools responsibly, ensuring technological adoption does not exacerbate existing socio-economic inequalities across the higher education sector.
The work indicates clear demand for technology providers offering administrative automation and personalised learning tools for higher education. However, because the study is an early-stage qualitative review of secondary sources, these applications remain at a conceptual and strategic level rather than an applied readiness stage. Technology vendors would need to partner directly with institutions and policymakers to design solutions that function within local infrastructure limitations and adhere to emerging privacy frameworks.
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This paper examines the strategic implementation of Artificial Intelligence (AI) in South African Higher Education (HE) institutions and its potential opportunities and challenges. It posits that AI can significantly enhance educational outcomes and administrative efficiency in South African HE institutions, but successful integration necessitates addressing infrastructure limitations, ethical concerns, and strategic frameworks. The study employs a qualitative research methodology using secondary sources. Findings reveal substantial benefits, such as improved administrative efficiency, personalized learning, and data-driven decision-making, often impeded by challenges like inadequate infrastructure, socio-economic disparities, and ethical issues related to data privacy and algorithmic bias. The importance of strategic planning and frameworks, such as the AI8-Point Model, is emphasized for effective AI integration in HE. Recommendations include investing in technological infrastructure, developing policies for ethical and privacy concerns, and adopting strategic frameworks. Collaboration among policymakers, educators, and technology providers is essential to navigate AI integration complexities and enhance educational outcomes and operational efficiency in South African HE.
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DOI: 10.47577/teh.v9i.11452
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