Mapping the Digital Pedagogy Research Trends in Asia: A Scientometric Perspective

Abstract This study brings together and outlines the scattered research on digital teaching across Asia from 2000 to 2025. It looks at past trends and predicts where the field is heading. Using a scientometric method, bibliographic data were taken from the Scopus database. The analysis included ARIMA models to forecast publications, network visualization for international co-authorship, machine learning algorithms for grouping themes, and SVM classifiers to differentiate between research focused on teaching and research focused on technology. The field has built a solid empirical base, mostly through journal articles. This marks a change from crisis-driven remote teaching to lasting, AI-driven smart education systems. Major research centers like Malaysia, China, and Singapore are leading the way in the region, but a significant digital gap leaves some Asian countries isolated. This study offers the first detailed, data-driven framework that outlines the changing concepts in Asian digital pedagogy.

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Publication Details

Journal
Research Square
Published
2026-11-11
DOI
https://doi.org/10.21203/rs.3.rs-10099681/v1
Primary Topic
scientometrics and bibliometrics research
Type
preprint
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preprint

Mapping the Digital Pedagogy Research Trends in Asia: A Scientometric Perspective

Prof. Joel Mark P. Rodriguez, John Jarold Flores, Rome Sheriff Montoya, Jake Louie Martinez et al.
Research Square
scientometrics and bibliometrics research
preprint

Mapping the Digital Pedagogy Research Trends in Asia: A Scientometric Perspective

Prof. Joel Mark P. Rodriguez, John Jarold Flores, Rome Sheriff Montoya, Jake Louie Martinez, Jan Raven Aspacio, Magno Quendangan
preprint en

Abstract

Abstract This study brings together and outlines the scattered research on digital teaching across Asia from 2000 to 2025. It looks at past trends and predicts where the field is heading. Using a scientometric method, bibliographic data were taken from the Scopus database. The analysis included ARIMA models to forecast publications, network visualization for international co-authorship, machine learning algorithms for grouping themes, and SVM classifiers to differentiate between research focused on teaching and research focused on technology. The field has built a solid empirical base, mostly through journal articles. This marks a change from crisis-driven remote teaching to lasting, AI-driven smart education systems. Major research centers like Malaysia, China, and Singapore are leading the way in the region, but a significant digital gap leaves some Asian countries isolated. This study offers the first detailed, data-driven framework that outlines the changing concepts in Asian digital pedagogy.

Research Square
Rizal Technological University (PH)
scientometrics and bibliometrics research
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