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

Naylor, Amanda; Gibbs, Janet

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
• 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.
• Contract Date: Oct 31, 2017