Task recommendation for ubiquitous learning

Authors:
Hiroaki Ogata;Toru Misumi;Bin Hou;Mengmeng Li;Moushir EI-Bishouty;Yoneo Yano
Affiliations:
Department ofInfonnation Science and Intelligent Systems, University of Tokushima, Tokushima, Japan;Department ofInfonnation Science and Intelligent Systems, University of Tokushima, Tokushima, Japan;Department ofInfonnation Science and Intelligent Systems, University of Tokushima, Tokushima, Japan;Department ofInfonnation Science and Intelligent Systems, University of Tokushima, Tokushima, Japan;Department ofInfonnation Science and Intelligent Systems, University of Tokushima, Tokushima, Japan;Department ofInfonnation Science and Intelligent Systems, University of Tokushima, Tokushima, Japan
Venue:
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 3
Year:
2010

Citing 6
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Charting past, present, and future research in ubiquitous computing

ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction in the new millennium, Part 1
Introduction

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Context-Aware Support for Computer-Supported Ubiquitous Learning

WMTE '04 Proceedings of the 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE'04)
Introduction

Communications of the ACM - Special issue: RFID
Ubiquitous Computing Technologies for Ubiquitous Learning

WMTE '05 Proceedings of the IEEE International Workshop on Wireless and Mobile Technologies in Education
LORAMS: Linking Physical Objects and Videos for Ubiquitous Learning

Proceedings of the 2007 conference on Supporting Learning Flow through Integrative Technologies

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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.