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https://doi.org/10.4018/978159...
Part of book or chapter of book . 2011 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.4018/978-1-...
Part of book or chapter of book . 2011 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.4018/978-1-...
Part of book or chapter of book . 2011 . Peer-reviewed
Data sources: Crossref
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Videoconferencing Communities

Documenting Online User Interactions
Authors: Dianna L. Newman; Patricia Barbanell; John Falco;

Videoconferencing Communities

Abstract

Online communities have expanded to include a complex array of technologies that allow us to integrate multiple modes of interaction among participants. One such method of interaction is videoconferencing. As part of a multi-year national program, the authors developed and investigated multiple methods by which videoconferencing could be used to expand PK-12 educational communities such that students at geographically distanced sites have opportunities to interact with external resources. The authors identified four major types of videoconferencing communities and common patterns within each that help to support effective use of the process. The chapter examines the nature and structure of these videoconferencing communities, provides examples of successful use, summarizes key user variables that impact the process, and makes recommendations for methods that should be used when studying videoconferencing communities.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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