Enhancing e-learning effectiveness using an intelligent agent-supported personalized virtual learning environment: an empirical investigation

Xu, Dongming, Huang, Wayne W., Wang, Huaiqing and Heales, Jon (2014) Enhancing e-learning effectiveness using an intelligent agent-supported personalized virtual learning environment: an empirical investigation. Information and Management, 51 4: 430-440. doi:10.1016/j.im.2014.02.009

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Author Xu, Dongming
Huang, Wayne W.
Wang, Huaiqing
Heales, Jon
Title Enhancing e-learning effectiveness using an intelligent agent-supported personalized virtual learning environment: an empirical investigation
Journal name Information and Management   Check publisher's open access policy
ISSN 0378-7206
1872-7530
Publication date 2014-06-01
Sub-type Article (original research)
DOI 10.1016/j.im.2014.02.009
Volume 51
Issue 4
Start page 430
End page 440
Total pages 11
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Language eng
Abstract Virtual learning environments (VLEs) developed under constructivism and embedded personalization learning functions have the potential to meet different requirements of different learners and thus increase e-Learning effectiveness. We formulated internal personalized learning mechanisms by implementing intelligent agents in a VLE under a constructivist learning model and further developed an e-learning effectiveness framework by integrating educational and IS theories. An empirical field experiment involving 228 university students was conducted. The findings suggested that personalized e-learning facilities enhance online learning effectiveness in terms of examination, satisfaction, and self-efficacy criteria.
Keyword Virtual learning environments
Personalization
Adaptive e-learning
E-learning effectiveness
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
UQ Business School Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 11 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 18 times in Scopus Article | Citations
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Created: Sat, 29 Mar 2014, 00:25:21 EST by Karen Morgan on behalf of UQ Business School