Comparative Studies: Cloud-Enabled Adaptive Learning System for Scalable Education in Sub-Saharan
Computers and Society
2025-07-01 v1 Emerging Technologies
Human-Computer Interaction
Abstract
The integration of cloud computing in education can revolutionise learning in advanced (Australia & South Korea) and middle-income (Ghana & Nigeria) countries, while offering scalable, cost-effective and equitable access to adaptive learning systems. This paper explores how cloud computing and adaptive learning technologies are deployed across different socio-economic and infrastructure contexts. The study identifies enabling factors and systematic challenges, providing insights into how cloud-based education can be tailored to bridge the digital and educational divide globally.
Keywords
Cite
@article{arxiv.2506.23851,
title = {Comparative Studies: Cloud-Enabled Adaptive Learning System for Scalable Education in Sub-Saharan},
author = {Israel Fianyi and Soonja Yeom and Ju-Hyun Shin},
journal= {arXiv preprint arXiv:2506.23851},
year = {2025}
}