(Re)defining Mobile Learning in the Post COVID-19 and GenAI Era
DOI:
https://doi.org/10.14742/apubs.2024.1336Keywords:
MLearning, M-Learning, Mobile Learning, Generative AI, DTML FrameworkAbstract
Mobile learning, thrust into the spotlight during the COVID-19 pandemic, has a rich 40-year history with a robust body of research predating 2020. This concise paper revisits mobile learning in light of the accelerated technological advancements and shifting educational practices post-pandemic. By examining the evolution of mobile learning frameworks and integrating recent advancements in AI and wearable technologies, we propose a contemporary redefinition that emphasises an accessible mobile ecology. We further explore the theoretical foundations and emerging scenarios in mobile learning, focusing on authentic learning experiences with current trends.
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Copyright (c) 2024 James Birt, Thomas Cochrane, Elisa Bone, Mehrasa Alizadeh, Paul Goldacre, Vickel Narayan, Todd Stretton, Robert Vanderburg, Tom Worthington
This work is licensed under a Creative Commons Attribution 4.0 International License.