Verbal Equity, Cognitive Specialization, and Performance

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dc.contributor.authorBorge, Marcela
dc.contributor.authorCarroll, John M.
dc.date.accessioned2023-03-17T22:48:29Z
dc.date.available2023-03-17T22:48:29Z
dc.date.issued2014
dc.description.abstractIn this paper, patterns of communication are examined in order to unpack the extent to which verbal equity is a critical factor in determining group success. A microanalysis of 20 teams working to complete a complex, information dependent, collaborative task was conducted. Interaction analysis methods were used as means to determine patterns of interaction and the sophistication of cognitive activity that teams engaged in. Findings suggest that verbal equity may not be as important as previous research indicates. A more critical variable may be cognitive specialization. The authors explain their findings by drawing on theories of cognition, thereby contributing to a better understanding of collective intelligence.en
dc.identifier.doi10.1145/2660398.2660418
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4436
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofProceedings of the 2014 ACM International Conference on Supporting Group Work
dc.subjectcollaborative problem-solving
dc.subjectinformation analysis
dc.subjectcollective intelligence
dc.subjectcognitive specialization
dc.subjectcollaborative decision-making
dc.subjectverbal equity
dc.subjectmacrocognition
dc.subjectcollective cognition
dc.titleVerbal Equity, Cognitive Specialization, and Performanceen
dc.typeText/Conference Paper
gi.citation.startPage215–225
gi.citations.count9
gi.citations.elementLiru Hu, Gaowei Chen (2021): Exploring turn-taking patterns during dialogic collaborative problem solving, In: Instructional Science 1(50), doi:10.1007/s11251-021-09565-2
gi.citations.elementM. Borge, B. K. Smith, T. Aldemir (2024): Using generative ai as a simulation to support higher-order thinking, In: International Journal of Computer-Supported Collaborative Learning 4(19), doi:10.1007/s11412-024-09437-0
gi.citations.elementMarcela Borge, Tugce Aldemir, Yu Xia (2022): How teams learn to regulate collaborative processes with technological support, In: Educational technology research and development 3(70), doi:10.1007/s11423-022-10103-1
gi.citations.elementBodo Steiner, Kevin Lan, Jim Unterschultz, Peter Boxall (2017): Applying the resource-based view to alliance formation in specialized supply chains, In: Journal of Strategy and Management 3(10), doi:10.1108/jsma-06-2016-0040
gi.citations.elementLu Xiao, John M. Carroll (2015): Shared Practices in Articulating and Sharing Rationale, In: International Journal of e-Collaboration 4(11), doi:10.4018/ijec.2015100102
gi.citations.elementMarcela Borge, Yann Shiou Ong, Carolyn Penstein Rosé (2018): Learning to monitor and regulate collective thinking processes, In: International Journal of Computer-Supported Collaborative Learning 1(13), doi:10.1007/s11412-018-9270-5
gi.citations.elementJoon Suk Lee, Margaret Dickey-Kurdziolek, Stacy Branham (2018): A Design Provocation for Humble Designers and Empowered Users, In: Lecture Notes in Computer Science, doi:10.1007/978-3-319-91803-7_4
gi.citations.elementLu Xiao, John M. Carroll (2019): Shared Practices in Articulating and Sharing Rationale, In: Crowdsourcing, doi:10.4018/978-1-5225-8362-2.ch081
gi.citations.elementLiru Hu, Jiajun Wu, Gaowei Chen (2022): iTalk–iSee: A participatory visual learning analytical tool for productive peer talk, In: International Journal of Computer-Supported Collaborative Learning 3(17), doi:10.1007/s11412-022-09374-w
gi.conference.locationSanibel Island, Florida, USA

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