Abstract
The research field of mobile learning emerged approximately two decades ago and experienced a period of robust growth, peaking around a decade ago. However, in recent years, the research community's attention on mobile learning has shown signs of waning. This shift in focus could be attributed to the maturation and widespread adoption of mobile learning intervention methods in educational practices, rendering the field less novel and demanding. Additionally, the emergence of new technologies has prompted researchers to explore alternative avenues of inquiry, albeit often incorporating mobile learning elements into their evolving techno-pedagogical models. This panel discussion endeavors to convene early mobile learning researchers for introspection, retrospection, and foresight. Through the lens of their individual research trajectories, the panelists will critically reflect upon the past achievements, challenges, and contributions of mobile learning. Furthermore, the discussion will encompass an exploration of potential future directions and the symbiotic integration of mobile learning with novel technological advancements. The aim is to elucidate the evolving role of mobile learning in the realm of educational technology and its continuing relevance within an ever-changing landscape. Copyright © 2023 Asia-Pacific Society for Computers in Education.
Original language | English |
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Title of host publication | Proceedings of 31st International Conference on Computers in Education, ICCE 2023 |
Place of Publication | Taiwan |
Publisher | Asia-Pacific Society for Computers in Education |
Pages | 1020-1026 |
Volume | I |
ISBN (Electronic) | 9786269689019 |
Publication status | Published - 2023 |
Citation
Wong, L.-H., Sun, D., Ogata, H., So, H.-J., Gu, X., & Hsu, T.-C. (2023). Mobile learning: Reflections on the past and visions for the future. In Proceedings of 31st International Conference on Computers in Education, ICCE 2023 (Vol. I, pp. 1020-1026). Asia-Pacific Society for Computers in Education.Keywords
- Mobile learning
- Learning log
- Seamless learning
- Learner data-driven paradigm
- Artificial intelligence in education