Explaining authors' contribution to pivotal artifacts during mass collaboration in the Wikipedia's knowledge base.
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| Title: | Explaining authors' contribution to pivotal artifacts during mass collaboration in the Wikipedia's knowledge base. |
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| Authors: | Halatchliyski, Iassen1 i.halatchliyski@iwm-kmrc.de, Moskaliuk, Johannes2, Kimmerle, Joachim1, Cress, Ulrike1 |
| Source: | International Journal of Computer-Supported Collaborative Learning. Mar2014, Vol. 9 Issue 1, p97-115. 19p. |
| Subject Terms: | *Collaborative learning, *Knowledge base, Published articles, Empirical research |
| Reviews & Products: | Wikipedia |
| Abstract: | This article discusses the relevance of large-scale mass collaboration for computer-supported collaborative learning (CSCL) research, adhering to a theoretical perspective that views collective knowledge both as substance and as participatory activity. In an empirical study using the German Wikipedia as a data source, we explored collective knowledge as manifested in the structure of artifacts that were created through the collaborative activity of authors with different levels of contribution experience. Wikipedia's interconnected articles were considered at the macro level as a network and analyzed using a network analysis approach. The focus of this investigation was the relation between the authors' experience and their contribution to two types of articles: central pivotal articles within the artifact network of a single knowledge domain and boundary-crossing pivotal articles within the artifact network of two adjacent knowledge domains. Both types of pivotal articles were identified by measuring the network position of artifacts based on network analysis indices of topological centrality. The results showed that authors with specialized contribution experience in one domain predominantly contributed to central pivotal articles within that domain. Authors with generalized contribution experience in two domains predominantly contributed to boundary-crossing pivotal articles between the knowledge domains. Moreover, article experience (i.e., the number of articles in both domains an author had contributed to) was positively related to the contribution to both types of pivotal articles, regardless of whether an author had specialized or generalized domain experience. We discuss the implications of our findings for future studies in the field of CSCL. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Computer-Supported Collaborative Learning 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.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 94724429 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Explaining authors' contribution to pivotal artifacts during mass collaboration in the Wikipedia's knowledge base. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Halatchliyski%2C+Iassen%22">Halatchliyski, Iassen</searchLink><relatesTo>1</relatesTo><i> i.halatchliyski@iwm-kmrc.de</i><br /><searchLink fieldCode="AR" term="%22Moskaliuk%2C+Johannes%22">Moskaliuk, Johannes</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Kimmerle%2C+Joachim%22">Kimmerle, Joachim</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Cress%2C+Ulrike%22">Cress, Ulrike</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Computer-Supported+Collaborative+Learning%22">International Journal of Computer-Supported Collaborative Learning</searchLink>. Mar2014, Vol. 9 Issue 1, p97-115. 19p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Collaborative+learning%22">Collaborative learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Knowledge+base%22">Knowledge base</searchLink><br /><searchLink fieldCode="DE" term="%22Published+articles%22">Published articles</searchLink><br /><searchLink fieldCode="DE" term="%22Empirical+research%22">Empirical research</searchLink> – Name: SubjectProduct Label: Reviews & Products Group: Su Data: <searchLink fieldCode="PS" term="%22Wikipedia%22">Wikipedia</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This article discusses the relevance of large-scale mass collaboration for computer-supported collaborative learning (CSCL) research, adhering to a theoretical perspective that views collective knowledge both as substance and as participatory activity. In an empirical study using the German Wikipedia as a data source, we explored collective knowledge as manifested in the structure of artifacts that were created through the collaborative activity of authors with different levels of contribution experience. Wikipedia's interconnected articles were considered at the macro level as a network and analyzed using a network analysis approach. The focus of this investigation was the relation between the authors' experience and their contribution to two types of articles: central pivotal articles within the artifact network of a single knowledge domain and boundary-crossing pivotal articles within the artifact network of two adjacent knowledge domains. Both types of pivotal articles were identified by measuring the network position of artifacts based on network analysis indices of topological centrality. The results showed that authors with specialized contribution experience in one domain predominantly contributed to central pivotal articles within that domain. Authors with generalized contribution experience in two domains predominantly contributed to boundary-crossing pivotal articles between the knowledge domains. Moreover, article experience (i.e., the number of articles in both domains an author had contributed to) was positively related to the contribution to both types of pivotal articles, regardless of whether an author had specialized or generalized domain experience. We discuss the implications of our findings for future studies in the field of CSCL. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Computer-Supported Collaborative Learning 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=94724429 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11412-013-9182-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 97 Subjects: – SubjectFull: Collaborative learning Type: general – SubjectFull: Knowledge base Type: general – SubjectFull: Published articles Type: general – SubjectFull: Empirical research Type: general – SubjectFull: Wikipedia Type: general Titles: – TitleFull: Explaining authors' contribution to pivotal artifacts during mass collaboration in the Wikipedia's knowledge base. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Halatchliyski, Iassen – PersonEntity: Name: NameFull: Moskaliuk, Johannes – PersonEntity: Name: NameFull: Kimmerle, Joachim – PersonEntity: Name: NameFull: Cress, Ulrike IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 15561607 Numbering: – Type: volume Value: 9 – Type: issue Value: 1 Titles: – TitleFull: International Journal of Computer-Supported Collaborative Learning Type: main |
| ResultId | 1 |
