Department of Pedagogy, Faculty of Humanities and Education Sciences, Campus Las Lagunillas, University of Jaen, 23071 Jaén, Spain.
Department of Business Organization II, Faculty of Economics and Business, Campus La Cartuja, University of Granada, 18010 Granada, Spain.
Int J Environ Res Public Health. 2021 Mar 10;18(6):2835. doi: 10.3390/ijerph18062835.
The pandemic caused by COVID-19 has generated a transformation in students' competences and university education, especially in the use of digital tools. This study aims to analyze the use of digital tools and social networks of university students during the COVID-19 pandemic. For the collection of information, a validated Likert questionnaire (10-point scale) was adopted. The instrument consisted of a total of 66 items comprising a total of seven dimensions. The sample contained 581 students pursuing degrees in Childhood Education and Primary Education. The analysis of the available information was carried out in two different stages. 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. In the second phase, we used SEM (structural equation modeling), a statistical approach to test the relationships between observed and latent variables. More specifically, we estimated a multiple indicators multiple causes (MIMIC) model. 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. 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.
由 COVID-19 引发的大流行已经改变了学生的能力和大学教育,特别是在数字工具的使用方面。本研究旨在分析大学生在 COVID-19 大流行期间使用数字工具和社交网络的情况。为了收集信息,采用了经过验证的李克特量表(10 分制)。该工具共包含 66 个项目,共计七个维度。样本包含 581 名从事儿童教育和小学教育专业的学生。对现有信息的分析分两个不同阶段进行。首先,我们首先进行探索性因素分析(EFA),以确定高等教育学生数字能力(DCHES)量表因素的潜在结构。在第二阶段,我们使用结构方程建模(SEM),这是一种用于测试观察变量和潜在变量之间关系的统计方法。更具体地说,我们估计了一个多指标多原因(MIMIC)模型。结果表明,考虑到大学生使用社交网络和数字工具的情况,两个被认为的协变量对于解释所分析量表(DCHES)的不同维度的可变性非常重要。在这方面,虚拟工具用于开展团队合作的程度以及在交流中充分使用 YouTube 的程度,都充分解释了所研究大学生的数字技能水平。