Analysis of ubiquitous-learning logs using spatio-temporal data mining

Kousuke Mouri; Hiroaki Ogata; Noriko Uosaki

doi:10.1109/ICALT.2015.66

Analysis of ubiquitous-learning logs using spatio-temporal data mining

Kousuke Mouri, Hiroaki Ogata, Noriko Uosaki

Division for Theoretical Natural Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

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).

Original language	English
Title of host publication	Proceedings - IEEE 15th International Conference on Advanced Learning Technologies
Subtitle of host publication	Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015
Editors	Nian-Shing Chen, Tzu-Chien Liu, Kinshuk, Ronghuai Huang, Gwo-Jen Hwang, Demetrios G. Sampson, Chin-Chung Tsai
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	96-98
Number of pages	3
ISBN (Electronic)	9781467373333
DOIs	https://doi.org/10.1109/ICALT.2015.66
Publication status	Published - Sep 14 2015
Event	15th IEEE International Conference on Advanced Learning Technologies, ICALT 2015 - Hualien, Taiwan, Province of China Duration: Jul 6 2015 → Jul 9 2015

Publication series

Name	Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015

Other

Other	15th IEEE International Conference on Advanced Learning Technologies, ICALT 2015
Country	Taiwan, Province of China
City	Hualien
Period	7/6/15 → 7/9/15

All Science Journal Classification (ASJC) codes

Computer Science Applications
Experimental and Cognitive Psychology
Computer Networks and Communications
Human-Computer Interaction
Education

Access to Document

10.1109/ICALT.2015.66

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Cite this

Mouri, K., Ogata, H., & Uosaki, N. (2015). Analysis of ubiquitous-learning logs using spatio-temporal data mining. In N-S. Chen, T-C. Liu, Kinshuk, R. Huang, G-J. Hwang, D. G. Sampson, & C-C. Tsai (Eds.), Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015 (pp. 96-98). [7265274] (Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICALT.2015.66

Analysis of ubiquitous-learning logs using spatio-temporal data mining. / Mouri, Kousuke; Ogata, Hiroaki; Uosaki, Noriko.

Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015. ed. / Nian-Shing Chen; Tzu-Chien Liu; Kinshuk; Ronghuai Huang; Gwo-Jen Hwang; Demetrios G. Sampson; Chin-Chung Tsai. Institute of Electrical and Electronics Engineers Inc., 2015. p. 96-98 7265274 (Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mouri, K, Ogata, H & Uosaki, N 2015, Analysis of ubiquitous-learning logs using spatio-temporal data mining. in N-S Chen, T-C Liu, Kinshuk, R Huang, G-J Hwang, DG Sampson & C-C Tsai (eds), Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015., 7265274, Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015, Institute of Electrical and Electronics Engineers Inc., pp. 96-98, 15th IEEE International Conference on Advanced Learning Technologies, ICALT 2015, Hualien, Taiwan, Province of China, 7/6/15. https://doi.org/10.1109/ICALT.2015.66

Mouri K, Ogata H, Uosaki N. Analysis of ubiquitous-learning logs using spatio-temporal data mining. In Chen N-S, Liu T-C, Kinshuk, Huang R, Hwang G-J, Sampson DG, Tsai C-C, editors, Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 96-98. 7265274. (Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015). https://doi.org/10.1109/ICALT.2015.66

Mouri, Kousuke ; Ogata, Hiroaki ; Uosaki, Noriko. / Analysis of ubiquitous-learning logs using spatio-temporal data mining. Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015. editor / Nian-Shing Chen ; Tzu-Chien Liu ; Kinshuk ; Ronghuai Huang ; Gwo-Jen Hwang ; Demetrios G. Sampson ; Chin-Chung Tsai. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 96-98 (Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015).

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