Task recommendation for ubiquitous learning

Hiroaki Ogata, Toru Misumi, Bin Hou, Mengmeng Li, Moushir El-Bishouty, Yoneo Yano

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

2 Citations (Scopus)

Abstract

This paper proposes a personal learning assistant called LORAMS (Link of RFID and Movies System), which supports learners with a system to share and reuse learning experiences by linking movies to environmental objects. We assume that every object has RFID tags and mobile devices have a RFID reader and can record a video at anytime and anyplace. By scanning RFID tags of real objects, LORAMS can provide only video segments that include the objects. Also LORAMS recommends the similar videos to be compared. In LORAMS, the video recording and RFID tagging are used purposely to support further teaching or learning rather than "just record it and use it in some day". We think that LORAMS can be applied to various kinds of domains that employ several kinds of real objects and vary the results depending on the combination of the objects; for example, cooking, checking upon cars such as oils, battery, and tires, surgery operations and chemical bioreactor experimentations.

Original languageEnglish
Title of host publicationCAR 2010 - 2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics
Pages307-310
Number of pages4
DOIs
Publication statusPublished - Jun 8 2010
Event2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics, CAR 2010 - Wuhan, China
Duration: Mar 6 2010Mar 7 2010

Publication series

NameCAR 2010 - 2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics
Volume3

Other

Other2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics, CAR 2010
CountryChina
CityWuhan
Period3/6/103/7/10

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

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