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A comparative study of student perceptions on generative AI in programming education across Sub-Saharan Africa
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science. Department of Computer Science, University of Exeter, Exeter, EX4 4PY, UK; Research Group on Data, Artificial Intelligence, and Innovations for Digital Transformation, Johannesburg Business School (JBS), University of Johannesburg, Johannesburg, South Africa.ORCID iD: 0000-0001-9895-6796
School of Computing and Mathematical Sciences, University of Leicester, LE1 7RH Leicester, UK.
2025 (English)In: Computers and Education Open, E-ISSN 2666-5573, Vol. 8, article id 100245Article in journal (Refereed) Published
Abstract [en]

In today's era of technological evolution, programming education is crucial for shaping the future workforce and fostering innovation. However, access to quality computer science education remains a significant challenge with Sub-Saharan Africa nations experiencing a pronounced digital divide. Despite growing interest in technology, these countries struggle with unequal access to educational resources. AI-driven tools like ChatGPT, Codey, and GitHub Copilot offer personalized learning experiences that could democratize access to knowledge and reshape programming education. This quantitative study examines the impact of these AI tools on fostering inclusive education in Kenya, Nigeria, and South Africa. It involves 322 university students, using purposive sampling and online questionnaires. Various quantitative analyzes, including descriptive statistics, country-wise comparisons, one-way ANOVA, Kruskal–Wallis tests, and correlation analysis, were conducted. The study reveals students’ motivations for programming, their attitudes towards AI-driven educational tools, and the perceived impact on equity, diversity, and inclusion. Significant variations were found in attitudes based on educational level and country of residence, highlighting the need for tailored strategies to enhance the inclusivity and effectiveness of AI-driven programming education tools.

Place, publisher, year, edition, pages
Elsevier Ltd , 2025. Vol. 8, article id 100245
Keywords [en]
Generative AI, Programming education, Equity, Diversity, Inclusion, Sub-Saharan Africa
National Category
Information Systems Pedagogy
Research subject
Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-112023DOI: 10.1016/j.caeo.2025.100245Scopus ID: 2-s2.0-85219567027OAI: oai:DiVA.org:ltu-112023DiVA, id: diva2:1945601
Note

Validerad;2025;Nivå 2;2025-03-19 (u5);

Full text license: CC BY 4.0;

Available from: 2025-03-19 Created: 2025-03-19 Last updated: 2025-03-19Bibliographically approved

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Oyelere, Solomon Sunday

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