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Article: Knowledge visualization for self-regulated learning
Title | Knowledge visualization for self-regulated learning |
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Authors | |
Keywords | E-learning Knowledge structure Knowledge visualization Online learning Self-regulation |
Issue Date | 2011 |
Publisher | International 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). |
Persistent Identifier | http://hdl.handle.net/10722/137562 |
ISSN | 2023 Impact Factor: 4.6 2023 SCImago Journal Rankings: 1.559 |
References |
DC Field | Value | Language |
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dc.contributor.author | Wang, M | en_HK |
dc.contributor.author | Peng, J | en_HK |
dc.contributor.author | Cheng, B | en_HK |
dc.contributor.author | Zhou, H | en_HK |
dc.contributor.author | Liu, J | en_HK |
dc.date.accessioned | 2011-08-26T14:28:05Z | - |
dc.date.available | 2011-08-26T14:28:05Z | - |
dc.date.issued | 2011 | en_HK |
dc.identifier.citation | Educational Technology And Society, 2011, v. 14 n. 3, p. 28-42 | en_HK |
dc.identifier.issn | 1176-3647 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/137562 | - |
dc.description.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). | en_HK |
dc.language | eng | en_US |
dc.publisher | International Forum of Educational Technology & Society. The Journal's web site is located at http://www.ifets.info/ | en_HK |
dc.relation.ispartof | Educational Technology and Society | en_HK |
dc.subject | E-learning | en_HK |
dc.subject | Knowledge structure | en_HK |
dc.subject | Knowledge visualization | en_HK |
dc.subject | Online learning | en_HK |
dc.subject | Self-regulation | en_HK |
dc.title | Knowledge visualization for self-regulated learning | en_HK |
dc.type | Article | en_HK |
dc.identifier.email | Wang, M: magwang@hku.hk | en_HK |
dc.identifier.authority | Wang, M=rp00967 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.scopus | eid_2-s2.0-80053469119 | en_HK |
dc.identifier.hkuros | 189147 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-80053469119&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 14 | en_HK |
dc.identifier.issue | 3 | en_HK |
dc.identifier.spage | 28 | en_HK |
dc.identifier.epage | 42 | en_HK |
dc.publisher.place | New Zealand | en_HK |
dc.identifier.scopusauthorid | Wang, M=8723779700 | en_HK |
dc.identifier.scopusauthorid | Peng, J=35335169300 | en_HK |
dc.identifier.scopusauthorid | Cheng, B=37074211400 | en_HK |
dc.identifier.scopusauthorid | Zhou, H=52365122700 | en_HK |
dc.identifier.scopusauthorid | Liu, J=52364385900 | en_HK |
dc.identifier.issnl | 1176-3647 | - |