Abstract

This article analyses the differences in basic digital competences of male and female university students on Social Education, Social Work and Pedagogy courses. The study of gender differences in university students’ acquisition of digital competence has considerable didactic and strategic consequences for the development of these skills. The study was carried out at two public universities in Spain (UNED – the National Distance-Learning University, and the Universidad Pablo de Olavide) on a sample of 923 students, who responded to a questionnaire entitled “University Students’ Basic Digital Competences 2.0” (COBADI – registered at the Spanish Patent and Trademark Office). The research applied a quantitative methodology based on a Bayesian approach using multinomial joint distribution as prior distribution. The use of Bayes factors also offers advantages with respect to the use of frequentist p-values, like the generation of information on the alternative hypothesis, that the evidence is not dependent on the sample size used. The results show that men have greater perceived competence in digital cartography and online presentations, whereas women prefer to request personal tutorials to resolve doubts about technology and have greater perceived competence in corporate emailing. There is also evidence that the men have greater perceived competence in developing “online presentations” than women do. Regarding to, “Interpersonal competences in the use of ICT at university”, we observed that the female students opted for personal sessions with tutors in greater numbers than the male students did.

Highlights

  • Research on the possible differences between male and female university students in their use of technology has boomed since the beginning of the century with the emergence of the Knowledge and Information Society (Nysveen, Pedersen, & Thorbjørnsen, 2005; Tüfekçi, 2008; OCDE, 2010b; Liaw & Huang, 2011)

  • The classic statistical approaches based on the traditional null hypothesis significance testing (NHST) has often prevented us from discarding the null hypothesis that men and women are equal in terms of perceived competences in technology

  • Bayesian statistics offer important advantages for the classic null hypothesis inference processes, which include: (a) the generation of information on both hypotheses; (b) non-dependence on the sample plan or on the researchers’ intentions (allowing additional information to be gleaned from the sample without the need to use procedures to maintain any error probability constant (Wagenmakers, 2007); (c) delivering interpretations that are intuitive and easy to understand

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Summary

Introduction

Research on the possible differences between male and female university students in their use of technology has boomed since the beginning of the century with the emergence of the Knowledge and Information Society (Nysveen, Pedersen, & Thorbjørnsen, 2005; Tüfekçi, 2008; OCDE, 2010b; Liaw & Huang, 2011). Our study aims to determine whether through Bayes factor method, we can attribute significant differences in basic digital competences to first-year male and female university students studying Social Sciences courses, Social Education, Social Work and Pedagogy, in Spain.

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