A conceptual model of personalized virtual learning environments

Xu, Dongming, Wang, Huaiqing and Wang, Minhong (2005) A conceptual model of personalized virtual learning environments. Expert Systems With Applications, 29 3: 525-534. doi:10.1016/j.eswa.2005.04.028

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Author Xu, Dongming
Wang, Huaiqing
Wang, Minhong
Title A conceptual model of personalized virtual learning environments
Journal name Expert Systems With Applications   Check publisher's open access policy
ISSN 0957-4174
Publication date 2005
Sub-type Article (original research)
DOI 10.1016/j.eswa.2005.04.028
Open Access Status File (Author Post-print)
Volume 29
Issue 3
Start page 525
End page 534
Total pages 10
Editor J. Liebowitz
Place of publication London, U.K.
Publisher Pergamon
Collection year 2005
Language eng
Subject C1
700102 Application tools and system utilities
749999 Education and training not elsewhere classified
0806 Information Systems
Abstract The Virtual Learning Environment (VLE) is one of the fastest growing areas in educational technology research and development. In order to achieve learning effectiveness, ideal VLEs should be able to identify learning needs and customize solutions, with or without an instructor to supplement instruction. They are called Personalized VLEs (PVLEs). In order to achieve PVLEs success, comprehensive conceptual models corresponding to PVLEs are essential. Such conceptual modeling development is important because it facilitates early detection and correction of system development errors. Therefore, in order to capture the PVLEs knowledge explicitly, this paper focuses on the development of conceptual models for PVLEs, including models of knowledge primitives in terms of learner, curriculum, and situational models, models of VLEs in general pedagogical bases, and particularly, the definition of the ontology of PVLEs on the constructivist pedagogical principle. Based on those comprehensive conceptual models, a prototyped multiagent-based PVLE has been implemented. A field experiment was conducted to investigate the learning achievements by comparing personalized and non-personalized systems. The result indicates that the PVLE we developed under our comprehensive ontology successfully provides significant learning achievements. These comprehensive models also provide a solid knowledge representation framework for PVLEs development practice, guiding the analysis, design, and development of PVLEs. (c) 2005 Elsevier Ltd. All rights reserved.
Keyword Computer Science, Artificial Intelligence
Operations Research & Management Science
Engineering, Electrical & Electronic
Personalized Learning
Agent Oriented Modeling
Conceptual Model
Virtual Learning Environment
Information-systems
Tutoring Systems
Knowledge
Technology
Framework
Support
Tropos
Q-Index Code C1

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
2006 Higher Education Research Data Collection
UQ Business School Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 16 times in Thomson Reuters Web of Science Article | Citations
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Created: Wed, 15 Aug 2007, 05:33:24 EST