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

Fuente: arXiv
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Main Authors: Fianyi, Israel, Yeom, Soonja, Shin, Ju-Hyun
Format: Preprint
Published: 2025
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author Fianyi, Israel
Yeom, Soonja
Shin, Ju-Hyun
author_facet Fianyi, Israel
Yeom, Soonja
Shin, Ju-Hyun
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2506_23851
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Comparative Studies: Cloud-Enabled Adaptive Learning System for Scalable Education in Sub-Saharan
Fianyi, Israel
Yeom, Soonja
Shin, Ju-Hyun
Computers and Society
Emerging Technologies
Human-Computer Interaction
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.
title Comparative Studies: Cloud-Enabled Adaptive Learning System for Scalable Education in Sub-Saharan
topic Computers and Society
Emerging Technologies
Human-Computer Interaction
url https://arxiv.org/abs/2506.23851