Personalization in context-aware ubiquitous learning-log system

Mengmeng Li, Hiroaki Ogata, Bin Hou, Noriko Uosaki, Yoneo Yano

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

34 Citations (Scopus)

Abstract

This paper describes a ubiquitous learning log system called SCROLL (System for Capturing and Reminding of Learning Log). Learning log stands for the log of knowledge or learning experience acquired ubiquitously. This study primarily exploits a personalized learning and context-aware method supporting ubiquitous learning log system. Its aims lie in helping learners recall what they have logged (learned) making use of the contexts and learners' learning habits. The method contains three main measures, which are to recommend learning objects in accordance with both learners' needs and contexts, to detect their learning habits using the context history and to prompt them to review what they have learned regarding their learning habits. What's more, by monitoring learners' reaction on the recommendation or prompting, the method can improve its prediction. An experiment was conducted to evaluate SCROLL and the method. The results demonstrate that the system is very helpful for the learners and they benefit from the context-based recommendation and learning-style based prompting well.

Original languageEnglish
Title of host publicationProceedings 2012 17th IEEE International Conference on Wireless, Mobile and Ubiquitous Technology in Education, WMUTE 2012
Pages41-48
Number of pages8
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 17th IEEE International Conference on Wireless, Mobile and Ubiquitous Technology in Education, WMUTE 2012 - Takamatsu, Kagawa, Japan
Duration: Mar 27 2012Mar 30 2012

Publication series

NameProceedings 2012 17th IEEE International Conference on Wireless, Mobile and Ubiquitous Technology in Education, WMUTE 2012

Other

Other2012 17th IEEE International Conference on Wireless, Mobile and Ubiquitous Technology in Education, WMUTE 2012
Country/TerritoryJapan
CityTakamatsu, Kagawa
Period3/27/123/30/12

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Education

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