Abstract
This paper describes a system that can be used to visualize some ubiquitous learning logs using collocational networks to discover several learning patterns. Visualization of the system is based on vast amount of learning data in ubiquitous learning environment. Ubiquitous Learning Log (ULL) is defined as a digital record of what learners have learned in the 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 to reuse ULL with others. This paper will reveal about the relationship between the ubiquitous learning logs and learners by using network graph and collocational networks. Also, this paper will explicate the system through which learners can grasp their learning time, histories, knowledge and location.
| Original language | English |
|---|---|
| Title of host publication | Workshop Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014 |
| Editors | Thepchai Supnithi, Siu Cheung Kong, Ying-Tien Wu, Tomoko Kojiri, Chen-Chung Liu, Hiroaki Ogata, Akihiro Kashihara |
| Publisher | Asia-Pacific Society for Computers in Education |
| Pages | 685-693 |
| Number of pages | 9 |
| ISBN (Electronic) | 9784990801427 |
| Publication status | Published - Jan 1 2014 |
| Event | 22nd International Conference on Computers in Education, ICCE 2014 - Nara, Japan Duration: Nov 30 2014 → Dec 4 2014 |
Publication series
| Name | Workshop Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014 |
|---|
Other
| Other | 22nd International Conference on Computers in Education, ICCE 2014 |
|---|---|
| Country | Japan |
| City | Nara |
| Period | 11/30/14 → 12/4/14 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Human-Computer Interaction
- Education
Cite this
Visualizing ubiquitous learning logs using collocational networks. / Mouri, Kousuke; Ogata, Hiroaki; Uosaki, Noriko; Liu, Songran.
Workshop Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014. ed. / Thepchai Supnithi; Siu Cheung Kong; Ying-Tien Wu; Tomoko Kojiri; Chen-Chung Liu; Hiroaki Ogata; Akihiro Kashihara. Asia-Pacific Society for Computers in Education, 2014. p. 685-693 (Workshop Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Visualizing ubiquitous learning logs using collocational networks
AU - Mouri, Kousuke
AU - Ogata, Hiroaki
AU - Uosaki, Noriko
AU - Liu, Songran
PY - 2014/1/1
Y1 - 2014/1/1
N2 - This paper describes a system that can be used to visualize some ubiquitous learning logs using collocational networks to discover several learning patterns. Visualization of the system is based on vast amount of learning data in ubiquitous learning environment. Ubiquitous Learning Log (ULL) is defined as a digital record of what learners have learned in the 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 to reuse ULL with others. This paper will reveal about the relationship between the ubiquitous learning logs and learners by using network graph and collocational networks. Also, this paper will explicate the system through which learners can grasp their learning time, histories, knowledge and location.
AB - This paper describes a system that can be used to visualize some ubiquitous learning logs using collocational networks to discover several learning patterns. Visualization of the system is based on vast amount of learning data in ubiquitous learning environment. Ubiquitous Learning Log (ULL) is defined as a digital record of what learners have learned in the 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 to reuse ULL with others. This paper will reveal about the relationship between the ubiquitous learning logs and learners by using network graph and collocational networks. Also, this paper will explicate the system through which learners can grasp their learning time, histories, knowledge and location.
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UR - http://www.scopus.com/inward/citedby.url?scp=84923973139&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84923973139
T3 - Workshop Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014
SP - 685
EP - 693
BT - Workshop Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014
A2 - Supnithi, Thepchai
A2 - Kong, Siu Cheung
A2 - Wu, Ying-Tien
A2 - Kojiri, Tomoko
A2 - Liu, Chen-Chung
A2 - Ogata, Hiroaki
A2 - Kashihara, Akihiro
PB - Asia-Pacific Society for Computers in Education
ER -