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      Making strides towards AI-supported regulation of learning in collaborative knowledge construction

      , , , , ,
      Computers in Human Behavior
      Elsevier BV

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          Social constructivist perspectives on teaching and learning.

          Social constructivist perspectives focus on the interdependence of social and individual processes in the co-construction of knowledge. After the impetus for understanding the influence of social and cultural factors on cognition is reviewed, mechanisms hypothesized to account for learning from this perspective are identified, drawing from Piagetian and Vygotskian accounts. The empirical research reviewed illustrates (a) the application of institutional analyses to investigate schooling as a cultural process, (b) the application of interpersonal analyses to examine how interactions promote cognition and learning, and (c) discursive analyses examining and manipulating the patterns and opportunities in instructional conversation. The review concludes with a discussion of the application of this perspective to selected contemporary issues, including: acquiring expertise across domains, assessment, educational equity, and educational reform.
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            New Frontiers: Regulating Learning in CSCL

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              Interactive team cognition.

              Cognition in work teams has been predominantly understood and explained in terms of shared cognition with a focus on the similarity of static knowledge structures across individual team members. Inspired by the current zeitgeist in cognitive science, as well as by empirical data and pragmatic concerns, we offer an alternative theory of team cognition. Interactive Team Cognition (ITC) theory posits that (1) team cognition is an activity, not a property or a product; (2) team cognition should be measured and studied at the team level; and (3) team cognition is inextricably tied to context. There are implications of ITC for theory building, modeling, measurement, and applications that make teams more effective performers. Copyright © 2012 Cognitive Science Society, Inc.
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                Author and article information

                Contributors
                Journal
                Computers in Human Behavior
                Computers in Human Behavior
                Elsevier BV
                07475632
                May 2023
                May 2023
                : 142
                : 107650
                Article
                10.1016/j.chb.2023.107650
                12bf132e-ee81-4e07-807d-be5a804927a0
                © 2023

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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