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author:

Liu, Shutang (Liu, Shutang.) [1] | Zhang, Fuquan (Zhang, Fuquan.) [2] | Jiang, Chunfen (Jiang, Chunfen.) [3]

Indexed by:

EI Scopus

Abstract:

This paper identifies the characteristics of anomie behaviors of MOOC learners through the cluster analysis of those anomie behaviors, and finds out the initial paths of intelligent recognition through online analysis of the background data characteristics of these anomie behaviors. The paper also suggests that these identification paths are not difficult to find, but there are still some profound reasons why many MOOC companies have not adopted those paths so far. © Springer Nature Switzerland AG 2019.

Keyword:

Cluster analysis

Community:

  • [ 1 ] [Liu, Shutang]Academic Affairs Office, Minjiang University, Fuzhou University Town, Fuzhou; 350108, China
  • [ 2 ] [Zhang, Fuquan]Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou; 350121, China
  • [ 3 ] [Zhang, Fuquan]School of Computer Science and Technology, Beijing Institute of Technology, Beijing; 100081, China
  • [ 4 ] [Jiang, Chunfen]School of Foreign Language, Minjiang University, Fuzhou University Town, Fuzhou; 350108, China

Reprint 's Address:

  • [liu, shutang]academic affairs office, minjiang university, fuzhou university town, fuzhou; 350108, china

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Source :

ISSN: 2190-3018

Year: 2019

Volume: 128

Page: 184-192

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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