Experiences in the Training of Teaching Digital Competence for Using Digital Social Networks
Background/purpose – The training of teachers to use digital social networks implies a change in the cultural paradigm and new alternatives for the development of their digital skills. This research analyzes the effectiveness of a workshop-structured massive online open course (MOOC) to develop the...
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Main Author: | |
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Format: | Article |
Language: | English |
Published: |
ÜNİVERSİTEPARK Limited
2022-12-01
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Series: | Educational Process: International Journal |
Subjects: | |
Online Access: | https://www.edupij.com/files/1/articles/article_278/EDUPIJ_278_article_63ab6bb6d3604.pdf |
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Summary: | Background/purpose – The training of teachers to use digital social networks implies a change in the cultural paradigm and new alternatives for the development of their digital skills. This research analyzes the effectiveness of a workshop-structured massive online open course (MOOC) to develop the teaching of digital skills associated with using digital social networks for educational purposes.
Materials/methods – A quasi-experiment with pretest and posttest and intact groups was conducted. The population of the study was the teaching staff of Cuba’s University of Informatics Science, with a sample of 30 teaching professors.
Results – The statistical results justify that in the two experimental groups, the implementation of the MOOC was satisfactory as significant differences were evident. The results suggest and affirm that MOOC-type online courses are an appropriate means for the continuation of teacher training as professional development. It concludes by arguing challenges in teacher training to develop their digital skills, highlighting: (1) technological, social, and educational imaginary; and (2) teaching digital culture vs. cultural codes of the student body.
Conclusion – The main contribution is the effectiveness of teacher training through the interaction and interactivity between the designed MOOC and learning activities conducted using Facebook, LinkedIn, and Telegram. |
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ISSN: | 2147-0901 |