TY - GEN
T1 - Learning by logging
T2 - IADIS International Conference on Mobile Learning 2012, ML 2012
AU - Ogata, Hiroaki
AU - Hou, Bin
AU - Li, Meng Meng
AU - Uosaki, Noriko
N1 - Publisher Copyright:
© 2012 IADIS.
PY - 2012
Y1 - 2012
N2 - This paper focuses on how to capture learning experiences in our daily life for vocabulary learning. In our previous works, we developed a system named SCROLL (System for Capturing and Reminding Of Learning Log) in order to log, organize, recall and evaluate the learning log. However up to now, we just use an active mode to record logs. This means that a learner must take a capture of learned contents consciously and most of learning chances be lost unconsciously. This paper proposes a system named PACALL (Passive Capture for Learning Log) in order to have a passive capture using SenseCam to solve this problem. With the help of SenseCam, learner's activity can be captured as a series of images. With the help of this system, a learner can find the important images by analyzing sensor data and images processing technology. Finally, the selected images will be uploaded to the current SCROLL system as ubiquitous learning logs. This research suggests that SenseCam can be used to do passive capture of learning experiences and workload of reflection can be reduced by analyzing sensor data of SenseCam.
AB - This paper focuses on how to capture learning experiences in our daily life for vocabulary learning. In our previous works, we developed a system named SCROLL (System for Capturing and Reminding Of Learning Log) in order to log, organize, recall and evaluate the learning log. However up to now, we just use an active mode to record logs. This means that a learner must take a capture of learned contents consciously and most of learning chances be lost unconsciously. This paper proposes a system named PACALL (Passive Capture for Learning Log) in order to have a passive capture using SenseCam to solve this problem. With the help of SenseCam, learner's activity can be captured as a series of images. With the help of this system, a learner can find the important images by analyzing sensor data and images processing technology. Finally, the selected images will be uploaded to the current SCROLL system as ubiquitous learning logs. This research suggests that SenseCam can be used to do passive capture of learning experiences and workload of reflection can be reduced by analyzing sensor data of SenseCam.
UR - http://www.scopus.com/inward/record.url?scp=84944104584&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84944104584&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84944104584
T3 - Proceedings of the IADIS International Conference Mobile Learning 2012, ML 2012
SP - 19
EP - 25
BT - Proceedings of the IADIS International Conference Mobile Learning 2012, ML 2012
A2 - Isaias, Pedro
A2 - Sanchez, Inmaculada Arnedillo
A2 - Rodrigues, Luis
PB - IADIS
Y2 - 11 March 2012 through 13 March 2012
ER -