Visualization and analysis system for connecting relationships of learning logs

Kousuke Mouri, Hiroaki Ogata, Noriko Uosaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In recent years, ubiquitous learning systems based on CSUL (Computer Supported Ubiquitous Learning) and u-learning have been constructed using ubiquitous technologies such as mobile devices, RFID tags, QR codes and wireless networks. These types of learning takes place not only in-class learning but also in a variety of out-class learning spaces such as home, library and museum. However, learning materials provided by ubiquitous learning systems are in most cases, prepared by teachers or instructional designers. It makes it difficult to find relationships between a learner and other learners in different contexts. In order to link learners in the real world and learning logs that are accumulated in a cyber space by a ubiquitous learning system called SCROLL (System for Capturing and Reminding of Learning Log), this paper proposes a visualization and analysis system called VASCORLL (Visualization and Analysis system for COnnecting Relationships of Learning Logs). Using VASCORLL, learners can find other contexts where can be applied to their own learning experiences. The initial evaluation was conducted to examine whether VASCORLL can increase learners' learning opportunities and learners can apply their own experiences to different contexts.

Original languageEnglish
Title of host publicationDoctoral Student Consortium (DSC) - Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015
PublisherAsia-Pacific Society for Computers in Education
Pages357-366
Number of pages10
ISBN (Electronic)9784990801496
Publication statusPublished - 2015
Event23rd International Conference on Computers in Education, ICCE 2015 - Hangzhou, China
Duration: Nov 30 2015Dec 4 2015

Other

Other23rd International Conference on Computers in Education, ICCE 2015
CountryChina
CityHangzhou
Period11/30/1512/4/15

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All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Education

Cite this

Mouri, K., Ogata, H., & Uosaki, N. (2015). Visualization and analysis system for connecting relationships of learning logs. In Doctoral Student Consortium (DSC) - Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015 (pp. 357-366). Asia-Pacific Society for Computers in Education.