Using machine learning and perceptual data to predict student satisfaction of eLearning systems in Ugandan institutions of higher education

Abstract The COVID-19 outbreak necessitated a rapid transition to eLearning in higher education institutions worldwide, including Uganda, where infrastructural and digital literacy challenges compounded this shift. Predicting student satisfaction with eLearning systems helps institutions evaluate ho...

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Detalhes bibliográficos

Principais autores:	Simon Peter Khabusi, Patience Atukunda, John Othieno
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Springer 2025-10-01
Colecção:	Discover Education
Assuntos:	eLearning User satisfaction Higher education institutions Artificial intelligence ensemble learning
Acesso em linha:	https://doi.org/10.1007/s44217-025-00839-2
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