Mobile Learning: Innovative Research Topics and Applications

Seminar: Research on Effective Practices of Mobile Learning

Speaker: Prof. Hiroaki Ogata
Faculty of Arts and Science
Graduate School of Information Science and Electrical Engineering
Kyushu University

Prof. Ogata is a Professor at the Faculty of Arts and Science and the Graduate School of Information Science and Electrical Engineering at Kyushu University, Fukuoka, Japan. He is Director of Research Center for Educational Data Science, and Director of Center for Learning Analytics at Kyushu University. His research includes Ubiquitous and Mobile Learning, Computer-Supported Collaborative Learning, Computer-Supported Cooperative Work, Computer-Assisted Language Learning, and Learning Analytics. He has published more than 300 peer-reviewed papers including Social Sciences Citation Index (SSCI) Journals and international conferences. He has received Asia-Pacific Society for Computers in Education Distinguished Researcher Award in 2014, and Best Paper Awards from conferences such as WebNet1999, CollabTech2008, mLearn 2009, ICCE2010, ICCE 2014 and ICALT2015. He is currently an associate editor of IEEE Transactions on Learning Technologies (SSCI), Research and Practice in Technology Enhanced Learning Journal and International Journal of Mobile and Learning Organization, and also an editorial board member of International Journal of Computer Supported Collaborative Learning and International Journal of Smart Learning Environments.

Date: 10 November 2016 (Thursday)
2:00 pm – 4:00 pm
Venue: Room 930, Level 9
Caritas Institute of Higher Education
18 Chui Ling Road, Tseung Kwan O, New Territories [Map]
(Exit B, Tiu Keng Leng MTR Station)

A Ubiquitous Learning Log (ULL) is defined as a digital record of what a learner has learned in daily life using mobile computing technologies. It allows learners to record their learning experiences with photos, audios, videos, locations, RFID tag and sensor data, and to share and reuse ULL with others. The number of ULLs will keep increasing as learners keep learning. By analyzing the ubiquitous learning logs in accordance with their learning abilities, context, time and location, it recommends learners ways for improving their learning performance. However, there has been limited research on analysis and visualization on mobile learning, and not yet previous works that visualize relationships among learning logs on spatial and temporal dimensions. Therefore, this presentation will introduce a mobile learning system called SCROLL which stores learners’ ULLs, and describe an innovative visualization system which integrates network visualization technologies and time-map in order to visualize the ubiquitous learning logs accumulated in SCROLL. This talk will also provide an overview of an Educational Big Data research project at Kyushu University, Japan, which involves the use of Moodle, Mahara and an e-book system developed by using SCROLL. Learning analytics tools and initial findings in the University will also be shown.

Enquiries: Hoyee Auyeung (The Open University of Hong Kong)
Tel: 2768 6051
Co-organized by: The Open University of Hong Kong
Caritas Institute of Higher Education
School of Professional Education and Executive Development, the Hong Kong Polytechnic University

This event was fully supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (UGC/IIDS16/H02/15).

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