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A Map-Based Visual Analysis Method for Patterns Discovery of Mobile Learning in Education with Big Data

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成果类型:
期刊论文、会议论文
作者:
Zhou, Dongbo*;Li, Hao;Liu, Sannyuya;Song, Bo;Hu, Tony (xiaohua)
通讯作者:
Zhou, Dongbo
作者机构:
[Liu, Sannyuya; Zhou, Dongbo; Li, Hao] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
[Hu, Tony (xiaohua); Song, Bo] Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USA.
通讯机构:
[Zhou, Dongbo] C
Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
big data in education;map;management;visual analysis
期刊:
2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)
ISSN:
2639-1589
年:
2017
页码:
3482-3491
会议名称:
IEEE International Conference on Big Data (IEEE Big Data)
会议论文集名称:
IEEE International Conference on Big Data
会议时间:
DEC 11-14, 2017
会议地点:
Boston, MA
会议主办单位:
[Zhou, Dongbo;Li, Hao;Liu, Sannyuya] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.^[Song, Bo;Hu, Tony (xiaohua)] Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USA.
会议赞助商:
IEEE, IEEE Comp Soc, ELSEVIER, CISCO
主编:
Nie, JY Obradovic, Z Suzumura, T Ghosh, R Nambiar, R Wang, C Zang, H BaezaYates, R Hu, X Kepner, J Cuzzocrea, A Tang, J Toyoda, M
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
978-1-5386-2715-0
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41671377, 41501463]; CCNU from the Colleges Basic Research and Operation of the MOE Fund [CCNU16A02021, CCNU16A05036, 230/20205170441, 230/20205170337, CCNU16JYKX016]
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Big data in education relate closely to a wealth of activities from the teachers, students and parents, as well as a substantial resources of knowledge that can be represented in hierarchical structures. The activities have characteristic of geo-location which can be projected onto a map, while the resources of knowledge can also be converted into the map. A map-based management and visual analysis method will largely benefit the users and the researchers from taking advantages of the big data in education. In this paper, we propose a novel map based method to manage and analyze the big data o...

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