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Article: Knowledge visualization for self-regulated learning

TitleKnowledge visualization for self-regulated learning
Authors
KeywordsE-learning
Knowledge structure
Knowledge visualization
Online learning
Self-regulation
Issue Date2011
PublisherInternational Forum of Educational Technology & Society. The Journal's web site is located at http://www.ifets.info/
Citation
Educational Technology And Society, 2011, v. 14 n. 3, p. 28-42 How to Cite?
Abstract
The Web allows self-regulated learning through interaction with large amounts of learning resources. While enjoying the flexibility of learning, learners may suffer from cognitive overload and conceptual and navigational disorientation when faced with various information resources under disparate topics and complex knowledge structures. This study proposed a knowledge visualization (KV) approach to this problem in an online course. The investigation involved the design, development, and evaluation of an enhanced learning system for the course using the proposed approach. The focus was on visualization of domain knowledge structure and integrating the structure with curriculum design, learning resources, learning assessment, intellectual process, and social learning. Survey and interviews with students demonstrated high user satisfaction and acceptance with the developed system and its functions for KV. These findings lay the foundation for further exploration with the system to determine its impact on reducing cognitive load and improving the learning process. © International Forum of Educational Technology & Society (IFETS).
DescriptionFulltext link: http://www.ifets.info/journals/14_3/4.pdf
Persistent Identifierhttp://hdl.handle.net/10722/137562
ISSN
References

 

Author Affiliations
  1. Nanjing University of Aeronautics and Astronautics
  2. The University of Hong Kong
DC FieldValueLanguage
dc.contributor.authorWang, Men_HK
dc.contributor.authorPeng, Jen_HK
dc.contributor.authorCheng, Ben_HK
dc.contributor.authorZhou, Hen_HK
dc.contributor.authorLiu, Jen_HK
dc.date.accessioned2011-08-26T14:28:05Z-
dc.date.available2011-08-26T14:28:05Z-
dc.date.issued2011en_HK
dc.identifier.citationEducational Technology And Society, 2011, v. 14 n. 3, p. 28-42en_HK
dc.identifier.issn1176-3647en_HK
dc.identifier.urihttp://hdl.handle.net/10722/137562-
dc.descriptionFulltext link: http://www.ifets.info/journals/14_3/4.pdf-
dc.descriptionSpecial Issue on 'Knowledge Visualization for Learning and Knowledge Management'en_US
dc.description.abstractThe Web allows self-regulated learning through interaction with large amounts of learning resources. While enjoying the flexibility of learning, learners may suffer from cognitive overload and conceptual and navigational disorientation when faced with various information resources under disparate topics and complex knowledge structures. This study proposed a knowledge visualization (KV) approach to this problem in an online course. The investigation involved the design, development, and evaluation of an enhanced learning system for the course using the proposed approach. The focus was on visualization of domain knowledge structure and integrating the structure with curriculum design, learning resources, learning assessment, intellectual process, and social learning. Survey and interviews with students demonstrated high user satisfaction and acceptance with the developed system and its functions for KV. These findings lay the foundation for further exploration with the system to determine its impact on reducing cognitive load and improving the learning process. © International Forum of Educational Technology & Society (IFETS).en_HK
dc.languageengen_US
dc.publisherInternational Forum of Educational Technology & Society. The Journal's web site is located at http://www.ifets.info/en_HK
dc.relation.ispartofEducational Technology and Societyen_HK
dc.subjectE-learningen_HK
dc.subjectKnowledge structureen_HK
dc.subjectKnowledge visualizationen_HK
dc.subjectOnline learningen_HK
dc.subjectSelf-regulationen_HK
dc.titleKnowledge visualization for self-regulated learningen_HK
dc.typeArticleen_HK
dc.identifier.emailWang, M: magwang@hku.hken_HK
dc.identifier.authorityWang, M=rp00967en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-80053469119en_HK
dc.identifier.hkuros189147en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80053469119&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume14en_HK
dc.identifier.issue3en_HK
dc.identifier.spage28en_HK
dc.identifier.epage42en_HK
dc.publisher.placeNew Zealanden_HK
dc.identifier.scopusauthoridWang, M=8723779700en_HK
dc.identifier.scopusauthoridPeng, J=35335169300en_HK
dc.identifier.scopusauthoridCheng, B=37074211400en_HK
dc.identifier.scopusauthoridZhou, H=52365122700en_HK
dc.identifier.scopusauthoridLiu, J=52364385900en_HK

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