Towards Supporting Multigenerational Co-creation and Social Activities: Extending Learning Analytics Platforms and Beyond

  • Shin’ichi KonomiEmail author
  • Kohei Hatano
  • Miyuki Inaba
  • Misato Oi
  • Tsuyoshi Okamoto
  • Fumiya Okubo
  • Atsushi Shimada
  • Jingyun Wang
  • Masanori Yamada
  • Yuki Yamada
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10922)


As smart technologies pervade our everyday environments, they change what people should learn to live meaningfully as valuable participants of our society. For instance, ubiquitous availability of smart devices and communication networks may have reduced the burden for people to remember factual information. At the same time, they may have increased the benefits to master the uses of new digital technologies. In the midst of such a social and technological shift, we could design novel integrated platforms that support people at all ages to learn, work, collaborate, and co-create easily. In this paper, we discuss our ideas and first steps towards building an extended learning analytics platform that elderly people and unskilled adults can use. By understanding the characteristics and needs of elderly learners and addressing critical user interface issues, we can build pervasive and inclusive learning analytics platforms that trigger contextual reminders to support people at all ages to live and learn actively regardless of age-related differences of cognitive capabilities. We discuss that resolving critical usability problems for elderly people could open up a plethora of opportunities for them to search and exploit vast amount of information to achieve various goals.


Pervasive learning Learning analytics Multigenerational co-creation Elderly people Learning environment Super-aging societies 



This work was supported by JST Mirai Grant Number 17-171024547, Japan.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Shin’ichi Konomi
    • 1
    Email author
  • Kohei Hatano
    • 1
  • Miyuki Inaba
    • 1
  • Misato Oi
    • 1
  • Tsuyoshi Okamoto
    • 1
  • Fumiya Okubo
    • 1
  • Atsushi Shimada
    • 2
  • Jingyun Wang
    • 3
  • Masanori Yamada
    • 1
  • Yuki Yamada
    • 1
  1. 1.Faculty of Arts and ScienceKyushu UniversityFukuokaJapan
  2. 2.Graduate School of Information Science and Electrical EngineeringKyushu UniversityFukuokaJapan
  3. 3.Research Institute for Information TechnologyKyushu UniversityFukuokaJapan

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