Collections of Practice as High-Level Activity in a Digital Interest-Based Science Community.

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Title: Collections of Practice as High-Level Activity in a Digital Interest-Based Science Community.
Authors: Lundgren, Lisa1 (AUTHOR) lisa.lundgren@usu.edu, Crippen, Kent J.2 (AUTHOR)
Source: Journal of Science Education & Technology. Oct2024, Vol. 33 Issue 5, p647-667. 21p.
Subject Terms: *Content analysis, Scientific community, Social network analysis, Digital technology, Communities of practice, Virtual communities
Abstract: The theoretical framework of communities of practice (CoP) is often used for framing research into online communities. However, there is an absence of measures and empirical work that evaluates knowledge-sharing within such communities. This represents a substantial gap in our understanding of informal learning for diverse people and in the case of communities that support participation in science, a potential loss of capacity for an enterprise that serves a critical function for society. Our objective is to operationalize practice within a designed online, scientific community and evaluate these behaviors as representative of seven theorized high-level groups. For this case study, content and social network analysis were applied to forums (n = 1858), activity posts (n = 1300), and direct messages (n = 667). Content analysis showed that community members most often used practices that were coded as social and not domain-specific. Differences existed in the ways that forums, messages, and activity posts were used as well as between education and outreach members and members of the public and scientists. Social network analysis revealed two domain-specific practices were central to the knowledge-sharing discourse. The seven theorized high-level groups were reduced to three. We provide a new empirically-based framework for use in identifying practices within the digital spaces as well as recommendations for designing online science communities that emphasize knowledge creation. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Science Education & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Collections of Practice as High-Level Activity in a Digital Interest-Based Science Community.
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  Data: <searchLink fieldCode="AR" term="%22Lundgren%2C+Lisa%22">Lundgren, Lisa</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lisa.lundgren@usu.edu</i><br /><searchLink fieldCode="AR" term="%22Crippen%2C+Kent+J%2E%22">Crippen, Kent J.</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Science+Education+%26+Technology%22">Journal of Science Education & Technology</searchLink>. Oct2024, Vol. 33 Issue 5, p647-667. 21p.
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  Data: *<searchLink fieldCode="DE" term="%22Content+analysis%22">Content analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+community%22">Scientific community</searchLink><br /><searchLink fieldCode="DE" term="%22Social+network+analysis%22">Social network analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br /><searchLink fieldCode="DE" term="%22Communities+of+practice%22">Communities of practice</searchLink><br /><searchLink fieldCode="DE" term="%22Virtual+communities%22">Virtual communities</searchLink>
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  Data: The theoretical framework of communities of practice (CoP) is often used for framing research into online communities. However, there is an absence of measures and empirical work that evaluates knowledge-sharing within such communities. This represents a substantial gap in our understanding of informal learning for diverse people and in the case of communities that support participation in science, a potential loss of capacity for an enterprise that serves a critical function for society. Our objective is to operationalize practice within a designed online, scientific community and evaluate these behaviors as representative of seven theorized high-level groups. For this case study, content and social network analysis were applied to forums (n = 1858), activity posts (n = 1300), and direct messages (n = 667). Content analysis showed that community members most often used practices that were coded as social and not domain-specific. Differences existed in the ways that forums, messages, and activity posts were used as well as between education and outreach members and members of the public and scientists. Social network analysis revealed two domain-specific practices were central to the knowledge-sharing discourse. The seven theorized high-level groups were reduced to three. We provide a new empirically-based framework for use in identifying practices within the digital spaces as well as recommendations for designing online science communities that emphasize knowledge creation. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Science Education & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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      – SubjectFull: Social network analysis
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      – SubjectFull: Digital technology
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      – SubjectFull: Communities of practice
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              Text: Oct2024
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