Gamification in Initial Teacher Training to Promote Inclusive Practices: A Qualitative Study.

Gamification consists of the use of ludic elements in non-ludic contexts. It is becoming an educational trend, due to its ability to work on curriculum skills in a fun and motivating way. This article exposes a program of gamified university practices, "Super-Profes", for the subject of Developmental Disorders. To gain an understanding of student impressions about this methodology, a qualitative study was carried out, based on a survey with open questions, and, subsequently, analyzed with the Atlas.ti 8.4 program. In total, 63 s-year students taking the Early Childhood Education degree participated. Two main categories emerged from the study: gamification as a fun and motivating educational experience, and knowledge and skills acquired after studying a gamified subject. The research concluded with an assessment of educational gamification as a motivating and effective methodology for the acquisition of content and skills necessary for future teaching.

The Influence of Digital Tools and Social Networks on the Digital Competence of University Students during 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. 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.