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An early-warning method on e-learning

  • Jinlong Liu*
  • , Zhutian Yang
  • , Xiangyuhan Wang
  • , Xingrui Zhang
  • , Jianying Feng
  • *Corresponding author for this work
  • School of Electronics and Information Engineering, Harbin Institute of Technology
  • Harbin No. 6 High School

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Early-warning is an important way which can promote teaching effect on e-learning. However design a better system of early-warning based on big data is an open issue. This paper systematically analyses five key factors which act on e-learning, compare the effect on early-warning, summarize the insufficient of existing systems. Besides one kind of system framework on e-learning proposed, the system establishes functional model and procedural model for early-warning system. Research results show that the system can promote teaching effect for e-learning and can benefit the development of early-warning model.

Original languageEnglish
Title of host publicatione-Learning, e-Education, and Online Training - 4th International Conference, eLEOT 2018, Proceedings
EditorsMarco Zappatore, Honghao Gao, Bing Jia, Matt Glowatz, Alberto Bucciero, Shuai Liu
PublisherSpringer Verlag
Pages62-72
Number of pages11
ISBN (Print)9783319937182
DOIs
StatePublished - 2018
Externally publishedYes
Event4th International Conference on e-Learning, e Education, and Online Training, eLEOT 2018 - Shanghai, China
Duration: 5 Apr 20187 Apr 2018

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume243
ISSN (Print)1867-8211

Conference

Conference4th International Conference on e-Learning, e Education, and Online Training, eLEOT 2018
Country/TerritoryChina
CityShanghai
Period5/04/187/04/18

Keywords

  • Big data
  • Early-warning
  • Prediction modeling
  • Promote teaching effect
  • e-Learning

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