Opportunities and challenges of generative artificial intelligence supporting research in African classrooms

Keywords: Generative artificial intelligence, research support, teaching, Africa, capability approach

Abstract

Generative artificial intelligence (AI) tools have sparked debates in the education sector prompting researchers to explore their desirability and potential in education. This paper acknowledges generative AI’s potential to support the delivery of teaching, learning and research in the higher education emphasising its ability to improve student writing quality as well as academic productivity, success rate, and independence. However, responsible use of these AI tools to support research is also crucial. Furthermore, the challenges associate with AI tool use, especially accessibility and usage in the African context, are recognised. For instance, ethical challenges relating to (mis)use of AI because no or inadequate policy regulations have been implemented. In addition, there are technical and structural challenges relating to connectivity, power outages, device access and technical know-how. Therefore, this paper aims to identify the opportunities and challenges associated with using AI tools to support research in African Higher Education classrooms. For the study, a qualitative systematic literature review was applied to two articles using thematic analysis from a final selection of 29 articles. Findings indicated that generative AI tools could enhance student writing skills and increase productivity. Additionally, they could lead to research autonomy, improved writing proficiency, quality, and academic throughput. Shortcomings included AI misuse, knowledge deficiencies, and infrastructural challenges preventing AI access. Additionally, inadequate regulations relating to using generative AI tools for learning and teaching were a further challenge. It is essential to address the ethical concerns, invest in skills development and promote equitable digital access, especially in Africa, where this is limited. In addition, the capability approach revealed how the digital divide limited the adoption of generative AI tools in Africa.

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Author Biographies

F. S. Modiba, Nelson Mandela University

Department of Development Studies

A. Van den Berg, Nelson Mandela University

Department of Development Studies

S. Mago, Nelson Mandela University

Department of Development Studies

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Published
2025-07-04
How to Cite
Modiba, F. S., A. Van den Berg, and S. Mago. 2025. “Opportunities and Challenges of Generative Artificial Intelligence Supporting Research in African Classrooms”. South African Journal of Higher Education 39 (3), 173-93. https://doi.org/10.20853/39-3-6272.
Section
General Articles