TY - GEN
T1 - Mobile Learning
T2 - 31st International Conference on Computers in Education, ICCE 2023
AU - Wong, Lung Hsiang
AU - Sun, Daner
AU - Ogata, Hiroaki
AU - So, Hyo Jeong
AU - Gu, Xiaoqing
AU - Hsu, Ting Chia
N1 - Publisher Copyright:
© 2023 Asia-Pacific Society for Computers in Education.
PY - 2023/12
Y1 - 2023/12
N2 - 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.
AB - 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.
KW - Artificial intelligence in education
KW - Learner data-driven paradigm
KW - Learning log
KW - Mobile learning
KW - Seamless learning
UR - http://www.scopus.com/inward/record.url?scp=85181539275&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85181539275&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85181539275
T3 - 31st International Conference on Computers in Education, ICCE 2023 - Proceedings
SP - 1020
EP - 1026
BT - 31st International Conference on Computers in Education, ICCE 2023 - Proceedings
A2 - Shih, Ju-Ling
A2 - Kashihara, Akihiro
A2 - Chen, Weiqin
A2 - Chen, Weiqin
A2 - Ogata, Hiroaki
A2 - Baker, Ryan
A2 - Chang, Ben
A2 - Dianati, Seb
A2 - Madathil, Jayakrishnan
A2 - Yousef, Ahmed Mohamed Fahmy
A2 - Yang, Yuqin
A2 - Zarzour, Hafed
PB - Asia-Pacific Society for Computers in Education
Y2 - 4 December 2023 through 8 December 2023
ER -