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Livenotes: a system for cooperative and augmented note-taking in lectures
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Source Conference on Human Factors in Computing Systems archive
Proceedings of the SIGCHI conference on Human factors in computing systems table of contents
Portland, Oregon, USA
SESSION: Educational & help systems table of contents
Pages: 531 - 540  
Year of Publication: 2005
ISBN:1-58113-998-5
Authors
Matthew Kam  University of California at Berkeley, Berkeley, CA
Jingtao Wang  University of California at Berkeley, Berkeley, CA
Alastair Iles  University of California at Berkeley, Berkeley, CA
Eric Tse  University of California at Berkeley, Berkeley, CA
Jane Chiu  University of California at Berkeley, Berkeley, CA
Daniel Glaser  University of California at Berkeley, Berkeley, CA
Orna Tarshish  University of California at Berkeley, Berkeley, CA
John Canny  University of California at Berkeley, Berkeley, CA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 25,   Downloads (12 Months): 162,   Citation Count: 20
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ABSTRACT

We describe Livenotes, a shared whiteboard system and educational practice that uses wireless communication and tablet computing to support real-time conversations within small groups of students during lectures, independent of class size. We present an interface design that enables group members to interact with one another by taking lecture notes cooperatively, as well as to augment student note-taking by providing instructor slides in the background to annotate over. Livenotes was designed to facilitate more efficient, stimulating modes of learning that other collaborative approaches do not. We report how the system impacts cooperative learning in an undergraduate class and how students interacted with background slides in the workspace. We conclude with directions for improving the system and learning practice.


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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CITED BY  20

Collaborative Colleagues:
Matthew Kam: colleagues
Jingtao Wang: colleagues
Alastair Iles: colleagues
Eric Tse: colleagues
Jane Chiu: colleagues
Daniel Glaser: colleagues
Orna Tarshish: colleagues
John Canny: colleagues