Comparative Studies: Cloud-Enabled Adaptive Learning System for Scalable Education in Sub-Saharan

TL;DR

This paper examines how cloud computing enhances adaptive learning systems across diverse socio-economic contexts, highlighting benefits, challenges, and strategies for scalable, equitable education worldwide.

Contribution

It provides a comparative analysis of deploying cloud-enabled adaptive learning in both high- and middle-income countries, addressing contextual challenges and enabling factors.

Findings

Cloud computing facilitates scalable and cost-effective adaptive learning.

Deployment strategies vary based on infrastructure and socio-economic factors.

Identifies key challenges and enablers for global cloud-based education.

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.