A comparative study of student perceptions on generative AI in programming education across Sub-Saharan Africa

• AI tools enhance programming education across Nigeria, Kenya, and South Africa. • Positive student attitudes toward AI-driven tools for personalized learning. • Diverse perceptions of AI tools’ impact on equity, diversity, and inclusion. • Significant attitude variations based on educational level and country. • Study underscores the need for tailored AI educational strategies. 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 analyses, 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.

Authors

Institutions

Publication Details

Journal
Computers and Education Open
Published
2025-03-02
DOI
https://doi.org/10.1016/j.caeo.2025.100245
Citations
19
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
32.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A comparative study of student perceptions on generative AI in programming education across Sub-Saharan Africa

Solomon Sunday Oyelere, Kehinde Aruleba
19 citations
Computers and Education Open
Teaching and Learning Programming
32.18
article

A comparative study of student perceptions on generative AI in programming education across Sub-Saharan Africa

Solomon Sunday Oyelere, Kehinde Aruleba
article en
19 citations

Abstract

• AI tools enhance programming education across Nigeria, Kenya, and South Africa. • Positive student attitudes toward AI-driven tools for personalized learning. • Diverse perceptions of AI tools’ impact on equity, diversity, and inclusion. • Significant attitude variations based on educational level and country. • Study underscores the need for tailored AI educational strategies. 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 analyses, 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.

Computers and Education OpenVol. 8
University of Leicester (GB), Luleå University of Technology (SE), University of Exeter (GB), University of Johannesburg (ZA)
Quality Education
Openalex Percentile: Top 0%
Teaching and Learning Programming
32.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.