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Deep learning : enriching teacher training through mobile technology and international collaboration

Naylor, Amanda; Gibbs, Janet

Authors

Amanda Naylor

Janet Gibbs



Abstract

This article presents results from an international collaboration between college students and pre-service teachers in Norway and the UK. This research is part of a large, international project exploring and developing the interrelationship between mobile technology and teachers' perceptions of teaching and learning. Data was collected for this study through an on-line survey of 37 pre-service teachers followed by six semi-structured, in-depth interviews. The data analysis revealed the themes of collaboration, authenticity and professional learning through the use of mobile technology in the data. The collaboration enabled the use of the affordances of mobile technology to enhance the pre-service teachers' professional learning and the data suggested that this enhanced their emergent conceptions of teaching and learning.

Citation

Naylor, A., & Gibbs, J. (2018). Deep learning : enriching teacher training through mobile technology and international collaboration. International Journal of Mobile and Blended Learning, 10(1), 62-77. https://doi.org/10.4018/IJMBL.2018010105

Journal Article Type Article
Acceptance Date Oct 31, 2017
Publication Date Jan 1, 2018
Deposit Date Oct 31, 2017
Publicly Available Date Jan 1, 2018
Journal International journal of mobile and blended learning
Print ISSN 1941-8647
Electronic ISSN 1941-8655
Publisher IGI Global
Peer Reviewed Peer Reviewed
Volume 10
Issue 1
Pages 62-77
DOI https://doi.org/10.4018/IJMBL.2018010105
Keywords Authenticity, Collaboration, eBooks, Education, iPads, Mobile Technology, Pedagogy, Pre-Service Teachers, Professional Learning, Teacher Training
Public URL https://hull-repository.worktribe.com/output/456172
Publisher URL https://www.igi-global.com/article/deep-learning/190818
Additional Information This is a copy of an article published in International journal of mobile and blended learning, 2018, v.10 issue 1.

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Copyright Statement
© 2018 IGI Global. All rights, including translation into other languages reserved by the publisher.





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