Construction on learning analytics object for sharing and interoperation of educational big data

Yonghe Wu; Wei Zhong; Chun Zhou; Xiaoling Ma

doi:10.1007/978-3-319-32865-2_20

Construction on learning analytics object for sharing and interoperation of educational big data

Yonghe Wu, Wei Zhong, Chun Zhou, Xiaoling Ma

Faculty of Education

East China Normal University

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

1 Scopus citations

Abstract

Educational Big Data (EBD) come from various types of Educational Systems such as LMS, CMS, ITS, SLS, and MOOCs. How to share and interoperate Educational Big Data for Learning Analytics (LA) has garnered a lot of research attention. In the paper, we probe into the process of Learning Analytics, outline the dataflow of EBD, define the Learning Analytics Object, and propose a new data format model for the Learning Analytics object to actualize the sharing and interoperability of Learning Analytics.

Original language	English
Title of host publication	Current Developments in Web Based Learning - ICWL 2015 International Workshops, KMEL, IWUM, LA, Revised Selected Papers
Editors	Di Zou, Zhiguo Gong, Dickson K.W. Chiu
Publisher	Springer Verlag
Pages	186-195
Number of pages	10
ISBN (Print)	9783319328645
DOIs	https://doi.org/10.1007/978-3-319-32865-2_20
State	Published - 2016
Event	International Conference on Web Based Learning, ICWL 2015 - Guangzhou, China Duration: 5 Nov 2015 → 8 Nov 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9584 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Web Based Learning, ICWL 2015
Country/Territory	China
City	Guangzhou
Period	5/11/15 → 8/11/15

Keywords

Data Format Model of Learning Analytics
Dataflow
Educational Big Data
Learning Analytics Object

Access to Document

10.1007/978-3-319-32865-2_20

Cite this

Wu, Y., Zhong, W., Zhou, C., & Ma, X. (2016). Construction on learning analytics object for sharing and interoperation of educational big data. In D. Zou, Z. Gong, & D. K. W. Chiu (Eds.), Current Developments in Web Based Learning - ICWL 2015 International Workshops, KMEL, IWUM, LA, Revised Selected Papers (pp. 186-195). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9584 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-32865-2_20

Wu, Yonghe ; Zhong, Wei ; Zhou, Chun et al. / Construction on learning analytics object for sharing and interoperation of educational big data. Current Developments in Web Based Learning - ICWL 2015 International Workshops, KMEL, IWUM, LA, Revised Selected Papers. editor / Di Zou ; Zhiguo Gong ; Dickson K.W. Chiu. Springer Verlag, 2016. pp. 186-195 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Construction on learning analytics object for sharing and interoperation of educational big data",

abstract = "Educational Big Data (EBD) come from various types of Educational Systems such as LMS, CMS, ITS, SLS, and MOOCs. How to share and interoperate Educational Big Data for Learning Analytics (LA) has garnered a lot of research attention. In the paper, we probe into the process of Learning Analytics, outline the dataflow of EBD, define the Learning Analytics Object, and propose a new data format model for the Learning Analytics object to actualize the sharing and interoperability of Learning Analytics.",

keywords = "Data Format Model of Learning Analytics, Dataflow, Educational Big Data, Learning Analytics Object",

author = "Yonghe Wu and Wei Zhong and Chun Zhou and Xiaoling Ma",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; International Conference on Web Based Learning, ICWL 2015 ; Conference date: 05-11-2015 Through 08-11-2015",

year = "2016",

doi = "10.1007/978-3-319-32865-2\_20",

language = "英语",

isbn = "9783319328645",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "186--195",

editor = "Di Zou and Zhiguo Gong and Chiu, \{Dickson K.W.\}",

booktitle = "Current Developments in Web Based Learning - ICWL 2015 International Workshops, KMEL, IWUM, LA, Revised Selected Papers",

address = "德国",

}

Wu, Y, Zhong, W, Zhou, C & Ma, X 2016, Construction on learning analytics object for sharing and interoperation of educational big data. in D Zou, Z Gong & DKW Chiu (eds), Current Developments in Web Based Learning - ICWL 2015 International Workshops, KMEL, IWUM, LA, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9584 LNCS, Springer Verlag, pp. 186-195, International Conference on Web Based Learning, ICWL 2015, Guangzhou, China, 5/11/15. https://doi.org/10.1007/978-3-319-32865-2_20

Construction on learning analytics object for sharing and interoperation of educational big data. / Wu, Yonghe; Zhong, Wei; Zhou, Chun et al.
Current Developments in Web Based Learning - ICWL 2015 International Workshops, KMEL, IWUM, LA, Revised Selected Papers. ed. / Di Zou; Zhiguo Gong; Dickson K.W. Chiu. Springer Verlag, 2016. p. 186-195 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9584 LNCS).

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

TY - GEN

T1 - Construction on learning analytics object for sharing and interoperation of educational big data

AU - Wu, Yonghe

AU - Zhong, Wei

AU - Zhou, Chun

AU - Ma, Xiaoling

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - Educational Big Data (EBD) come from various types of Educational Systems such as LMS, CMS, ITS, SLS, and MOOCs. How to share and interoperate Educational Big Data for Learning Analytics (LA) has garnered a lot of research attention. In the paper, we probe into the process of Learning Analytics, outline the dataflow of EBD, define the Learning Analytics Object, and propose a new data format model for the Learning Analytics object to actualize the sharing and interoperability of Learning Analytics.

AB - Educational Big Data (EBD) come from various types of Educational Systems such as LMS, CMS, ITS, SLS, and MOOCs. How to share and interoperate Educational Big Data for Learning Analytics (LA) has garnered a lot of research attention. In the paper, we probe into the process of Learning Analytics, outline the dataflow of EBD, define the Learning Analytics Object, and propose a new data format model for the Learning Analytics object to actualize the sharing and interoperability of Learning Analytics.

KW - Data Format Model of Learning Analytics

KW - Dataflow

KW - Educational Big Data

KW - Learning Analytics Object

UR - https://www.scopus.com/pages/publications/84981215874

U2 - 10.1007/978-3-319-32865-2_20

DO - 10.1007/978-3-319-32865-2_20

M3 - 会议稿件

AN - SCOPUS:84981215874

SN - 9783319328645

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 186

EP - 195

BT - Current Developments in Web Based Learning - ICWL 2015 International Workshops, KMEL, IWUM, LA, Revised Selected Papers

A2 - Zou, Di

A2 - Gong, Zhiguo

A2 - Chiu, Dickson K.W.

PB - Springer Verlag

T2 - International Conference on Web Based Learning, ICWL 2015

Y2 - 5 November 2015 through 8 November 2015

ER -

Wu Y, Zhong W, Zhou C, Ma X. Construction on learning analytics object for sharing and interoperation of educational big data. In Zou D, Gong Z, Chiu DKW, editors, Current Developments in Web Based Learning - ICWL 2015 International Workshops, KMEL, IWUM, LA, Revised Selected Papers. Springer Verlag. 2016. p. 186-195. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-32865-2_20

Construction on learning analytics object for sharing and interoperation of educational big data

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Keywords

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