TY - GEN
T1 - Recommendation of the video in a ubiquitous learning environment
AU - Ogata, Hiroaki
AU - Misumi, Toru
AU - Matsuka, Yoshiki
AU - Hou, Bin
AU - Li, Mengmeng
AU - El-Bishouty, Moushir
AU - Uosaki, Noriko
AU - Yano, Yoneo
PY - 2010/12/1
Y1 - 2010/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84860719762&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84860719762&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84860719762
SN - 9789728924997
T3 - Proceedings of the IADIS International Conference Mobile Learning 2010
SP - 93
EP - 100
BT - Proceedings of the IADIS International Conference Mobile Learning 2010
T2 - IADIS International Conference Mobile Learning 2010
Y2 - 19 March 2010 through 21 March 2010
ER -