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Distance learning through distributed collaborative video viewing
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Source Computer Supported Cooperative Work archive
Proceedings of the 2000 ACM conference on Computer supported cooperative work table of contents
Philadelphia, Pennsylvania, United States
Pages: 135 - 144  
Year of Publication: 2000
ISBN:1-58113-222-0
Authors
J. J. Cadiz  Microsoft Research, Collaboration & Multimedia Group, One Microsoft Way, Redmond, WA
Anand Balachandran  Microsoft Research, Collaboration & Multimedia Group, One Microsoft Way, Redmond, WA
Elizabeth Sanocki  Microsoft Research, Collaboration & Multimedia Group, One Microsoft Way, Redmond, WA
Anoop Gupta  Microsoft Research, Collaboration & Multimedia Group, One Microsoft Way, Redmond, WA
Jonathan Grudin  Microsoft Research, Collaboration & Multimedia Group, One Microsoft Way, Redmond, WA
Gavin Jancke  Microsoft Research, Collaboration & Multimedia Group, One Microsoft Way, Redmond, WA
Sponsors
SIGGROUP: ACM Special Interest Group on Supporting Group Work
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 10,   Downloads (12 Months): 92,   Citation Count: 6
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ABSTRACT

Previous research on Tutored Video Instruction (TVI) shows that learning is enhanced when small groups of students watch and discuss lecture videos together. Using specialized, high-end videoconferencing systems, these improved results have been shown to apply even when the students are in different locations (Distributed TVI, or DTVI). In this paper, we explore two issues in making DTVI-like scenarios widely supported at low cost. First, we explore design of a system that allows distributed individuals to collectively watch video using shared VCR controls such as play, pause, seek, stop. We show how such a system can be built on top of existing commercial technologies. Second, we explore the impact of four alternative discussion channels on student learning and interaction behavior. The four channels-text chat, audioconferencing, videoconferencing, and face-to-face-have differing infrastructure requirements and costs. Our lab studies show that while text chat does not work, there is no significant difference in discussion behavior and learning between audioconferencing and videoconferencing. While lab studies have their limitations and long-term field studies need to be done, the preliminary results point to a low-cost way for a DTVI-like model to be deployed widely in the very near future.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
J. J. Cadiz: colleagues
Anand Balachandran: colleagues
Elizabeth Sanocki: colleagues
Anoop Gupta: colleagues
Jonathan Grudin: colleagues
Gavin Jancke: colleagues