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Different approaches to collaborative problem solving between successful versus less successful problem solvers

Tracking changes of knowledge structure

Bibliographic Data

ID21743953
AuthorsKyung Kim (0000-0002-9596-2055, Korea Institute of Energy Research), Andrew A Tawfik (0000-0002-9172-3321, University of Memphis)
Year2023
Volume55
Issue4
Pages628-645
Publication date2023-07-03
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Research on Technology in Education (JOURNAL)
Journal identifiersISSN: 1539-1523 • E-ISSN: 1945-0818
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/15391523.2021.2014374
OpenAlexW4285320039
LanguageEN
Citations received4
References cited52

STEM Problem solving necessitates a substantial amount of specialized domain knowledge. An important element of problem-solving within the domain includes how knowledge is structured and organized in memory to facilitate efficient retrieval of relevant information and future problem solving. In previous studies, however, problem solving and knowledge structure have been studied in relative isolation, resulting in viewing them as a separate two-way process. To address this gap, this study aimed to track how individuals developed their knowledge structures before, during, and after collaborative problem solving in the contexts of STEM (physics, astronomy, and biology), with particular attention to understanding the different mechanism between success versus less successful problem-solvers. For that, we employed a relatively new and promising network approach to representing learners’ knowledge structures as network graphs for analysis and comparison. Results visually demonstrated that successful problem-solvers tend to share a solution-focused knowledge and establish their group knowledge-oriented knowledge structure, whereas the less successful problem-solvers tend to share problem-focused knowledge and then establish their prior knowledge-oriented knowledge structure. Implications and discussion for the findings are provided

Domain knowledge · Knowledge integration · Knowledge management · Computer Science · E-Learning and Knowledge Management · Educational Strategies and Epistemologies · Innovative Teaching and Learning Methods · Mathematics

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Unique citing works4
Citations per year1,33
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 4

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