Ubiquitous learning logs analytics

Kousuke Mouri, Hiroaki Ogata, Noriko Uosaki, Songran Liu

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

Abstract

This paper describes a system that can be used to visualize and analyze some ubiquitous learning logs to discover several learning patterns and trends. Visualization and analysis of the system are based on vast amount of learning data in ubiquitous learning environment. Ubiquitous Learning Log (ULL) is defined as a digital record of what learners have learned in the daily life using ubiquitous technologies. It allows learners to log their learning experiences with photos, audios, videos, location, RFID tag and sensor data, and to share and to reuse ULL with others. This paper will reveal about the relationship between the ubiquitous learning logs and learners by using network graph.

Original languageEnglish
Title of host publicationDoctoral Student Consortium (DSC) - Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014
EditorsBen Chang, Hiroaki Ogata, Xiaoqing Gu, Chen-Chung Liu, Siu Cheung Kong, Weiqin Chen, Akihiro Kashihara
PublisherAsia-Pacific Society for Computers in Education
Pages9-12
Number of pages4
ISBN (Electronic)9784990801434
Publication statusPublished - 2014
Event22nd International Conference on Computers in Education, ICCE 2014 - Nara, Japan
Duration: Nov 30 2014Dec 4 2014

Publication series

NameDoctoral Student Consortium (DSC) - Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014

Other

Other22nd International Conference on Computers in Education, ICCE 2014
Country/TerritoryJapan
CityNara
Period11/30/1412/4/14

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Education

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