Hybrid learning in post-pandemic higher education systems: an analysis using SEM and DNN

Hybrid learning in post-pandemic higher education systems: an analysis using SEM and DNN

The COVID-19 pandemic significantly impacted higher education systems, leading many institutions to adopt hybrid learning models. This research investigates the relevance of hybrid learning methods in the post-pandemic education context using structural equation modeling (SEM) and deep neural networ...

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Bibliographic Details
Main Authors: Alvin Muhammad ‘Ainul Yaqin, Ahmad Kamil Muqoffi, Sigit Rahmat Rizalmi, Faishal Arham Pratikno, Remba Yanuar Efranto
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Cogent Education
Subjects:
Higher education systems
hybrid learning
post-pandemic
structural equation modeling
deep neural network
Higher Education
Online Access:https://www.tandfonline.com/doi/10.1080/2331186X.2025.2458930
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https://www.tandfonline.com/doi/10.1080/2331186X.2025.2458930

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