Abstract
Digital transformation is an undeniable reality, and its impact is widespread and global. The digital transformation crosses not only the different sectors and economic activities but also society in general. In this setting, the higher education sector is no exception being continuously affected by advances in digital technologies, which contribute to significant, sometimes drastic, changes in education and training. Therefore, and considering two of the main actors in teaching-learning environment (students and teachers) it can be said that on the one hand, students expect to find dynamic teaching environments enriched with technology. On the other hand, teachers gain by using new tools that not only facilitate content sharing but also lead to greater student motivation among other aspects of the teaching-learning process. As mentioned, technological updates are constant and, consequently, teachers in general, and those in higher education, have the imperative to accompany these same updates and introduce them into the teaching-learning process. Thus, to meet this challenge, teachers themselves must take on the role of students and train and update themselves. Taking advantage of Digital Transformation technology facilitators and realizing the need for updated approaches to address the training of higher education teachers, we propose the use of a model to guide teachers training within Digital Transformation. The approach is a combination of three models that will be applied to Higher Education Teachers Training (HET2).
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This work was supported by the FCT – Fundação para a Ciência e a Tecnologia, I.P. [Project UIDB/05105/2020].
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Moreira, F., Ferreira, M.J., Pereira, C.S., Escudero, D.F., Collazos, C., Gomes, A. (2021). Higher Education Teachers Training (HET2) Model: Active Learning in Higher Education Environment. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Ramalho Correia, A.M. (eds) Trends and Applications in Information Systems and Technologies . WorldCIST 2021. Advances in Intelligent Systems and Computing, vol 1367. Springer, Cham. https://doi.org/10.1007/978-3-030-72660-7_11
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DOI: https://doi.org/10.1007/978-3-030-72660-7_11
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