Exploring the interactive patterns of concept map-based online discussion: a sequential analysis of users’ operations, cognitive processing, and knowledge construction

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Title:	Exploring the interactive patterns of concept map-based online discussion: a sequential analysis of users’ operations, cognitive processing, and knowledge construction
Authors:	陳攸華;Wu, Sheng-Yi;Chen, Sherry Y.;Hou, Huei-Tse
Contributors:	資訊電機學院網路學習科技研究所
Keywords:	Behavior Patterns;behavioral pattern;Chinese;Coding;Cognitive Processes;College Students;Computer Mediated Communication;concept map;Concept Mapping;Correlation;Foreign Countries;Interactive learning;lag sequential analysis;Literature;off-topic;online discussion;Statistical Analysis;Student Behavior;Taxonomy;Teaching Methods;Universities
Date:	2016-11-16
Issue Date:	2026-04-23 14:11:37 (UTC+8)
Publisher:	Taylor and Francis Ltd.;Abingdon: Routledge
Abstract:	摘要： Concept maps can be used as a cognitive tool to assist learners' knowledge construction. However, in a concept map-based online discussion environment, studies that take into consideration learners' manipulative actions of composing concept maps, cognitive process among learners' discussion, and social knowledge construction at the same time are still lacking. Therefore, this study employed lag sequential analysis to empirically explore learners' behavioral patterns in a concept map-based online discussion environment. We explored learners' operations in the concept map tool, and their discussion behavioral patterns of cognitive processing phases and social knowledge construction. The results showed that it was easier for learners to define a node than to define a relationship when they used the concept map. Additionally, the concept map can enhance higher level cognitive processing phases and lead learners to return to the main discussions from off-topic discussions significantly. 出版者： Abingdon: Routledge 出版日期： 2016-11-16 出處： Interactive Learning Environments, 2016-11, Vol.24 (8), p.1778-1794 資源來源： Taylor & Francis Journals Auto-Holdings Collection 版權： 2015 Taylor & Francis 2015 版權： 2015 Taylor & Francis 識別號： ISSN: 1049-4820 識別號： EISSN: 1744-5191 識別號： DOI: 10.1080/10494820.2015.1057740
Appears in Collections:	[Graduate Institute of Network Learning Technology] journal & Dissertation

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