Models of Technology Acceptance in Education: A Bibliometric Analysis

Abstract

This study develops a bibliometric analysis of research on models of technology acceptance in education, identifying possible changes in the orientation of this research because of the Covid-19 pandemic. Using the Scopus database, 2,000 documents worldwide and 233 publications for Ibero-America were compared. The Bibliometrix package of the R-Studio software made it possible to analyse productivity through publication, visibility and impact metrics for both groups. The results support Lotka and Bradford’s Law, both globally and in Ibero-America. From the scientific mapping and the conceptual structure, structural equation models (SEM) are identified as the most frequently repeated estimation methodology, while TAM and TAM3 models reflect the highest number of repetitions, and in second place UTAUT and UTAUT2. The social structure shows the main collaborative networks in terms of authors and countries. In the case of the Ibero-American countries, Spain stands out with a high proportion of publications and citations.