This paper proposes a development model of the adaptation capacity of students to digital transformation in university teaching through three constructs: motivations, digital pedagogy, and student autonomy. For this study, an ad hoc scale was created to record the adaptation capacity of students to digital transformation. The sample was 483 students from the University of Seville (Spain), to whom an online survey was administered during the development of online teaching in the period of November 2020 using the Google Forms platform. The findings of this study showed that university student motivation acquired a greater threshold than autonomy, whose threshold in turn, was greater than that of digital pedagogy in the ability to adapt to online teaching and that the capacity of adaptation to the online modality is explained by the perception that university students have of the usefulness, products, and learning outcomes, among others. In conclusion, the lack of adequate and enabled study spaces is key to developing the online model. We consider all these aspects as prospective research objectives.

The aim of this study is to determine the perceptions of university students toward teaching–learning processes during the COVID-19 pandemic. This research gathers inquiries made worldwide on the perceptions of students in higher education during a state of alarm. The proposed objectives were (a) to analyse the perception of students toward teaching–learning processes in university; (b) to determine the assessment given by students about the changes that took place in university teaching as a result of COVID-19; and (c) to explore resources (hardware and software), professional collaboration, digital pedagogy and student empowerment (motivation) regarding digital education and recent changes in university teaching due to the pandemic. This study used a non-experimental, descriptive design based on opinion polls or surveys. The results show a positive correlation between digital pedagogy, student motivation and digital environments. As a conclusion, we encourage the scientific community to continue delving into the motivation, collaboration and reflective exchange of experiences, self-learning and promotion of initiatives that foster the development of competencies in future teachers. It is also important to continue the research on integrated designs in training processes in university, tutoring and continuous evaluation, as they are key for digital transformation in universities.

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Este es un trabajo de colaboración entre universidades. Los propósitos de esta investigación son: (a)Conocer

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The aim of the presented study is to identify the attitudes of future teachers (in pre-service teacher education) toward Augmented Reality (AR) applications. The innovation experience was carried out in the academic year 2016/17. For the collection of data, the Augmented Reality Applications Attitude Scale (ARAAS), by Küçük, Yilmaz, Baydaş & Göktaş (2014), was adapted to the Spanish context. It is a Likert scale grouped into three dimensions that determine the attitudes of future teachers toward the use of AR applications in education, which are Relevance, Satisfaction and Reliability. In order to analyse data, the statistical software SPSS 23.0 was used. The Bartlett test of sphericity and the Kaiser-Meyer-Olkin (KMO) test for sampling adequacy were also conducted. Results of the study led to the following conclusions: the students developed a favourable attitude in their role as future teachers toward the use of AR applications as learning tools, which have also provided deep learning.

The aim of this study was to determine the post-pandemic learning adaptation scenarios from the perspective of university students from the Faculty of Education Science of the University of Seville (Spain) as a function of the competencies identified in the context of digital transformation. This was a non-experimental, descriptive study that used a short version of the Scale of Attitudes on the Perceptions of Future Teachers toward the New Post-pandemic Educational Scenarios (SANPES). The sample consisted of 972 students of the University of Seville (Spain) (72% women, 28% men), registered in the academic year 2021–2022. A cluster analysis was performed, using a hierarchical procedure (dendrogram), followed by a non-hierarchical procedure (k-means algorithm). The results show significant differences in the responses of the university students. Conclusions: progressive models or scenarios of adaptation to post-pandemic learning based on some student competencies, such as motivation, collaboration, self-learning and digital methodology: (a) initial adaptation model, (b) moderate adaptation model, and (c) advanced adaptation model.

The management of a cultural change in higher education is becoming necessary and unavoidable: changes in teaching, changes in research and changes in governance. Digital transformation is an essential part of many countries’ modernisation agendas. The aim of this non-experimental, descriptive, survey-based study was to explore the perceptions of university students toward the digital transformation that took place in university teaching as a consequence of COVID-19. The specific objectives proposed were to: a) analyse the perceptions of students toward digital transformation in university teaching; b) determine the valuation of students about the digital transformation that occurred in university teaching as a result of COVID-19; and c) explore the resources (hardware-software), professional collaboration, digital pedagogy and student empowerment (motivation) with respect to digital education and the recent changes in university teaching due to the pandemic. The results show that a large number of items are positively correlated. In conclusion, further research should delve into motivation, collaboration, reflective experience sharing, self-learning and initiatives that promote the development of competences in future teachers.