Visualizing ubiquitous learning logs using collocational networks

Kousuke Mouri, Hiroaki Ogata, Noriko Uosaki, Songran Liu

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

5 Citations (Scopus)

Abstract

This paper describes a system that can be used to visualize some ubiquitous learning logs using collocational networks to discover several learning patterns. Visualization of the system is 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 and collocational networks. Also, this paper will explicate the system through which learners can grasp their learning time, histories, knowledge and location.

Original languageEnglish
Title of host publicationWorkshop Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014
EditorsThepchai Supnithi, Siu Cheung Kong, Ying-Tien Wu, Tomoko Kojiri, Chen-Chung Liu, Hiroaki Ogata, Akihiro Kashihara
PublisherAsia-Pacific Society for Computers in Education
Pages685-693
Number of pages9
ISBN (Electronic)9784990801427
Publication statusPublished - 2014
Event22nd International Conference on Computers in Education, ICCE 2014 - Nara, Japan
Duration: Nov 30 2014Dec 4 2014

Publication series

NameWorkshop Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014

Other

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

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Human-Computer Interaction
  • Education

Fingerprint Dive into the research topics of 'Visualizing ubiquitous learning logs using collocational networks'. Together they form a unique fingerprint.

Cite this