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International Conference on Hybrid Learning and Continuing Education

ICHL 2015: Hybrid Learning: Innovation in Educational Practices pp 46–56Cite as

Connecting Dots for Ubiquitous Learning Analytics

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9167))

Abstract

A Ubiquitous Learning Log (ULL) is defined as a digital record of what a learner has learned in daily life using ubiquitous computing technologies. It allows learners to log 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 the learners keep learning. The sheer volume of ULLs will be accumulated in the ubiquitous learning system called SCROLL. It creates a necessity to analyze the ubiquitous learning logs to provide learners with appropriate learning logs in accordance with their learning abilities, context, time and location. However, researchers on analysis and visualization on ubiquitous learning is very few, and there are not yet previous works that visualize relationships among learning logs on spatial and temporal dimensions. Therefore, this paper introduces the overview of SCROLL, and then describes an innovative visualization system which integrates network visualization technologies and time-map in order to visualize the ubiquitous learning logs accumulated in the SCROLL.

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Acknowledgment

The part of this research work was supported by the Grant-in-Aid for Scientific Research No.25282059, No.26560122, No.25540091 and No.26350319 from the Ministry of Education, Culture, Sports, Science and Technology (MEXT) in Japan. The research results have been also partly supported by “Research and Development on Fundamental and Utilization Technologies for Social Big Data” (178A03), the Commissioned Research of National Institute of Information and Communications Technology (NICT), Japan.

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Authors and Affiliations

  1. Faculty of Arts and Science and the Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan

    Hiroaki Ogata

  2. Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan

    Kousuke Mouri

Authors
  1. Hiroaki Ogata
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  2. Kousuke Mouri
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Corresponding author

Correspondence to Hiroaki Ogata .

Editor information

Editors and Affiliations

  1. The Open University of Hong Kong, Hong Kong, China

    Simon K.S. Cheung

  2. City University of Hong Kong, Hong Kong, China

    Lam-for Kwok

  3. State University of New York at Oswego and Central China Normal University, Wuhan, China, Oswego, New York, USA

    Harrison Yang

  4. City University of Hong Kong and International Hybrid Learning Society, Hong Kong, China, Hong Kong, China

    Joseph Fong

  5. Caritas Institute of Higher Education, Hong Kong, China

    Reggie Kwan

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© 2015 Springer International Publishing Switzerland

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Ogata, H., Mouri, K. (2015). Connecting Dots for Ubiquitous Learning Analytics. In: Cheung, S., Kwok, Lf., Yang, H., Fong, J., Kwan, R. (eds) Hybrid Learning: Innovation in Educational Practices. ICHL 2015. Lecture Notes in Computer Science(), vol 9167. Springer, Cham. https://doi.org/10.1007/978-3-319-20621-9_4

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  • DOI: https://doi.org/10.1007/978-3-319-20621-9_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20620-2

  • Online ISBN: 978-3-319-20621-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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