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Analysis model of teacher-support and learning engagement in e-learning

  • School of Electronics and Information Engineering, Harbin Institute of Technology

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

Abstract

Recently, millions of persons research e-learning which has important social significance and extensive application background. E-learning influences the global higher education significantly. Based on the applied superiority of MOOC (the chief kind of e-learning), the main research aim of this paper is to provide effective learning strategy and to increase the engagement and the learning effect in e-learning. This paper utilizes the acquired big data during e-learning to analyze three dimensions of teacher-support and five dimensions of learners’ learning engagement in detail. An effective model is proposed to analyze the relation between teacher-support and learning engagement. Based on the acquired big data, the mean, variance, correlation coefficient and other datum are analyzed to compare teacher-support and learning engagement in the effective model, all path coefficients of the result achieve significant level: p > 0.05. This paper proposes improved recommendations and supplies effective learning strategies.

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
Pages53-61
Number of pages9
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
  • Comparative model
  • E-learning
  • Learning engagement
  • Teacher-support

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