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Digital Competence of Higher Education Students as a Predictor of Academic Success

Digital Competence of Higher Education Students as a Predictor of Academic Success The purpose of the present study is to analyze the digital competence of Higher Education students, as a function of their academic performance (have either repeated or a not previously), as well as to predict its significant predictors. For this, an ex-post factor and a sample of 17301 students from Chile (Latin America) were utilized. A questionnaire composed of a total of 30 items, classified into five endogenous and exogenous dimensions through a causal model, adapted from the works of Gutiérrez-Castillo (2013), Gutiérrez-Castillo & Cabero (2016) and Gutiérrez-Castillo et al. (2017), was administered via online to the students. The results showed statistically significant differences in digital competence, as a function of repeating an academic year or not, with better scores for the latter. Also, factors such as the number of digital resources utilized for the teaching-learning process, the previous preparation for managing their studies, as well as the level of education of the parents, mainly the father, significantly had an influence on both types of students. This study highlights the importance of the development of an adequate digital competence which has an influence on the learning of the students and their posterior class promotion. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Technology Knowledge and Learning Springer Journals

Digital Competence of Higher Education Students as a Predictor of Academic Success

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References (88)

Publisher
Springer Journals
Copyright
Copyright © The Author(s), under exclusive licence to Springer Nature B.V. 2022. corrected publication 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
ISSN
2211-1662
eISSN
2211-1670
DOI
10.1007/s10758-022-09624-8
Publisher site
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Abstract

The purpose of the present study is to analyze the digital competence of Higher Education students, as a function of their academic performance (have either repeated or a not previously), as well as to predict its significant predictors. For this, an ex-post factor and a sample of 17301 students from Chile (Latin America) were utilized. A questionnaire composed of a total of 30 items, classified into five endogenous and exogenous dimensions through a causal model, adapted from the works of Gutiérrez-Castillo (2013), Gutiérrez-Castillo & Cabero (2016) and Gutiérrez-Castillo et al. (2017), was administered via online to the students. The results showed statistically significant differences in digital competence, as a function of repeating an academic year or not, with better scores for the latter. Also, factors such as the number of digital resources utilized for the teaching-learning process, the previous preparation for managing their studies, as well as the level of education of the parents, mainly the father, significantly had an influence on both types of students. This study highlights the importance of the development of an adequate digital competence which has an influence on the learning of the students and their posterior class promotion.

Journal

Technology Knowledge and Learning – Springer Journals

Published: Jun 1, 2023

Keywords: Post-secondary education; Twenty-first century skills; Digital competence

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