TY - GEN
T1 - Analysis of ubiquitous-learning logs using spatio-temporal data mining
AU - Mouri, Kousuke
AU - Ogata, Hiroaki
AU - Uosaki, Noriko
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/14
Y1 - 2015/9/14
N2 - This paper proposes an approach of the spatio-temporal data mining in order to predict next learning steps (next ubiquitous learning logs to be learned) in accordance with their situations or context from past learners' experiences in their daily lives accumulated in the ubiquitous learning system called SCROLL (System for Capturing and Reminding of Learning Log). Ubiquitous learning log (ULL) is defined as a digital record of what learners have learned in their 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 reuse ULL with others. This paper describes some data mining methods using the association analysis in order to detect effective and efficient learning logs for learner from relationships among ubiquitous learning logs collected by a number of the research studies for a long period of the SCROLL project (2011~2014).
AB - This paper proposes an approach of the spatio-temporal data mining in order to predict next learning steps (next ubiquitous learning logs to be learned) in accordance with their situations or context from past learners' experiences in their daily lives accumulated in the ubiquitous learning system called SCROLL (System for Capturing and Reminding of Learning Log). Ubiquitous learning log (ULL) is defined as a digital record of what learners have learned in their 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 reuse ULL with others. This paper describes some data mining methods using the association analysis in order to detect effective and efficient learning logs for learner from relationships among ubiquitous learning logs collected by a number of the research studies for a long period of the SCROLL project (2011~2014).
UR - http://www.scopus.com/inward/record.url?scp=84961736545&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84961736545&partnerID=8YFLogxK
U2 - 10.1109/ICALT.2015.66
DO - 10.1109/ICALT.2015.66
M3 - Conference contribution
AN - SCOPUS:84961736545
T3 - Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015
SP - 96
EP - 98
BT - Proceedings - IEEE 15th International Conference on Advanced Learning Technologies
A2 - Chen, Nian-Shing
A2 - Liu, Tzu-Chien
A2 - Kinshuk, null
A2 - Huang, Ronghuai
A2 - Hwang, Gwo-Jen
A2 - Sampson, Demetrios G.
A2 - Tsai, Chin-Chung
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Conference on Advanced Learning Technologies, ICALT 2015
Y2 - 6 July 2015 through 9 July 2015
ER -