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Cited by 351

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Higher education scholars' participation and practices on Twitter

Veletsianos, G.·2012·Journal of Computer Assisted Learning

Abstract

Scholars participate in online social networks for professional purposes. In such networks, learning takes the form of participation and identity formation through engagement in and contribution to networked practices. While current literature describes the possible benefits of online participation, empirical research on scholars' use of online social networks in the educational technology literature is negligible. The purpose of this paper is to understand scholars' naturalistic practices in social networks in general, and on Twitter in particular. Tweets from 45 scholars were analysed qualitatively to arrive at dominant themes describing online social network practice. Findings indicate that scholars participating on Twitter (1) shared information, resources, and media relating to their professional practice; (2) shared information about their classroom and their students; (3) requested assistance from and offered suggestions to others; (4) engaged in social commentary; (5) engaged in digital identity and impression management; (6) sought to network and make connections with others; and (7) highlighted their participation in online networks other than Twitter. These findings assist the field in understanding the emerging practice of scholarly participation in online networks.

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Crossref · 10.1111/j.1365-2729.2011.00449.x

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Metadata

Authors
Veletsianos, G.
Venue
Journal of Computer Assisted Learning
Publisher
Wiley
Published
2011-10-18
Volume
28
Issue
4
Pages
336-349
ISSN
  • 0266-4909 (ISSN-L)
  • 1365-2729
OpenAlex
W2106714012
Cited by
351
References
12
FWCI
62.89
Type
journal article
Language
en
Open access
closed

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.