GenAI in the Context of African Universities: A Crisis of Tertiary Education or Its New Dawn?

Abstract

The rapid progression of generative artificial intelligence (GenAI) tools has raised significant interest and concern in academia. Instances of students submitting AI-generated assignments prompt investigations into implications for teaching, learning, and academic integrity. Recent publications highlight concerns such as a lack of conceptual understanding, threats to academic integrity, and disruptions to traditional assessment methods. While recognizing benefits like automated scoring and personalized learning, authors stress the responsible use of GenAI, emphasizing the educator's role in guiding students. This commentary identifies opportunities and threats of GenAI in African university contexts. Opportunities include increased operational efficiency, content generation, automated assessment, recognition of accessibility needs, overcoming language barriers, and accelerated research. However, these tools require human correction and cautious consideration of job displacement concerns. Threats encompass job displacement, privacy and security issues, threats to academic integrity, hallucinations/confabulations of GenAI, access and infrastructure challenges, technological overemphasis, lack of customization for local needs and cultural contexts, dependency on external providers, and unaffordable costs. The need for robust guidelines that balance technological advances with traditional teaching methods in African universities is emphasized. Given digital transformation initiatives like the African Union's Agenda 2063 and Botswana's SmartBots strategy, integrating GenAI could shape the future of African tertiary education. Proactive policies should address ethical concerns, ensure access, and make GenAI tools available, requiring a collaborative effort to navigate its impact responsibly.

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