Abstract
The reopening of schools and the returning to normal after the emergency experience of online teaching brought to the line new realities in educational practice for both teachers and students. It is now crucial to reflect on the consequences of this experience and rethink the prospects of using digital tools and online learning. The previous remote learning experience could be conceived as an opportunity for the educational community to take advantage of the benefits online teaching offers and adopt those practices that could further develop the teaching experience. This paper examines the reality in K-12 schools after the pandemic investigating the incorporation of seven digital teaching strategies into teachers’ daily routines. The study adopts a mixed methodology approach analysing quantitative data from an online survey of 392 in-service teachers and qualitative data from two focus groups. The results show that an essential percentage of teachers continue to use some practices of the distance learning model to enhance learning and communication in the classroom. The use of these strategies was directly and indirectly affected by teachers’ attitudes towards the distance learning model and their perceptions of the challenges faced during the pandemic. Implications for policy and practice are drawn.
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Notes
- 1.
The official announcement of the Cyprus Pedagogical Institute can be accessed here.
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Acknowledgements
The research team would like to thank the Cyprus Pedagogical Institute (Ministry of Education, Culture, Sport and Youth) for the ongoing support during the implementation of this research and for participating teachers for sincerely expressing their views.
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Kosmas, P., Michael, D., Nisiforou, E., Vrasidas, C. (2022). The Digitalization of Teaching Practices in K-12 Education: Insights from Teachers’ Perspective. In: Hilliger, I., Muñoz-Merino, P.J., De Laet, T., Ortega-Arranz, A., Farrell, T. (eds) Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption. EC-TEL 2022. Lecture Notes in Computer Science, vol 13450. Springer, Cham. https://doi.org/10.1007/978-3-031-16290-9_11
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