"Why SuaCode?": Understanding African Students' Motivations for Taking a Smartphone-Based Online Coding Course

Michael Addo, Nana Maryam Munagah, Victor Kumbol, Judith Uchidiuno, George Boateng (2026) — SuaCode / Kwame AI, Ghana. arXiv preprint (cs.CY).

📄 Full text (arXiv)

Addo, Munagah, Kumbol, Uchidiuno and Boateng study why African students enroll in SuaCode, a smartphone-based online coding course (from the team behind the Kwame AI teaching assistant) addressing the fact that under 1% of African secondary-school leavers have fundamental coding skills. Understanding learner motivations informs the design of accessible, AI-supported MOOCs for low-resource contexts. The work speaks directly to equity-in-ai-education and accessible-learning, to broadening participation in cs-education, and to policy questions in ai-literacy-equity-programming-policy; outcome evidence for AI-supported programming learning connects to genai-meta-analysis-programming-learning.

Related Pages

• equity-in-ai-education

• accessible-learning

• cs-education

• ai-literacy-equity-programming-policy

• genai-meta-analysis-programming-learning

Citation

APA: Michael Addo, Nana Maryam Munagah, Victor Kumbol, Judith Uchidiuno, George Boateng (2026). "Why SuaCode?": Understanding African Students' Motivations for Taking a Smartphone-Based Online Coding Course. arXiv:2607.22940.