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    Cluster analysis of digital competencies among professors in higher education by Karime Chahuán-Jiménez, Eduardo Lara-Yergues, Dominique Garrido-Araya, Elena Salum-Alvarado, Paulina Hurtado-Arenas, Rolando Rubilar-Torrealba

    Published 2025-02-01
    “…PurposeThis research focuses on the diagnosis and clustering of professor higher education in relation to digital competencies, based on different levels of digital competency development.MethodsThe methodology employed in this study involved an Ordinary Least Squares (OLS) regression analysis and cluster analysis using K-means clustering algorithm, considering the Silhouette score, based on the responses obtained through a questionnaire DigComEdu framework, and adjusted according to the experts who conducted a validity analysis.ResultsThe findings indicate that, for the sample professor who answers the questionnaire voluntarily and confidentially, considering margin of error of 5%, a confidence level of 95%, and a response distribution of 50%, corresponding to 314 professors, with a Crombach’s alpha of 0.56, there is no relation between the variables of investigation, age, gender, academic degree, academic hierarchy, and years in academy and the level of digital competencies among professors. …”
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