![]() In this context, it is necessary to consider the competences that affect students, such as effective, emotional, and social competences, as students have been forced to work in unknown contexts featuring the exclusive use of digital platforms. The pandemic caused by COVID-19 (Coronavirus Disease 2019) has had a major impact in all contexts, forcing university education to undergo great changes in a very short period of time, both for teachers and for students, in order to adapt itself to the new situation using the digital tools at its disposal. In this sense, both the degree to which virtual tools are used to develop teamwork and the degree of use of YouTube when communicating most fully explained the level of digital skills among the university students studied. The results showed the importance of two of the considered covariates in explaining the variability of the different dimensions of the scale analyzed (DCHES) considering the use of social networks and digital tools of university students. More specifically, we estimated a multiple indicators multiple causes (MIMIC) model. In the second phase, we used SEM (structural equation modeling), a statistical approach to test the relationships between observed and latent variables. First, we started by performing an exploratory factorial analysis (EFA) to determine the underlying structure of the Digital Competence of Higher Education Students (DCHES) scale factor. The analysis of the available information was carried out in two different stages. The sample contained 581 students pursuing degrees in Childhood Education and Primary Education. The instrument consisted of a total of 66 items comprising a total of seven dimensions. For the collection of information, a validated Likert questionnaire (10-point scale) was adopted. This study aims to analyze the use of digital tools and social networks of university students during the COVID-19 pandemic. The pandemic caused by COVID-19 has generated a transformation in students’ competences and university education, especially in the use of digital tools. ![]()
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