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Livenotes: a system for cooperative and augmented note-taking in lectures

Published: 02 April 2005 Publication History

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.

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cover image ACM Conferences
CHI '05: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
April 2005
928 pages
ISBN:1581139985
DOI:10.1145/1054972
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 02 April 2005

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Author Tags

  1. augmented note-taking
  2. collaborative learning
  3. computer-supported collaborative learning (CSCL)
  4. cooperative learning
  5. cooperative note-taking
  6. e-learning
  7. education
  8. peer instruction
  9. shared whiteboard
  10. small group learning
  11. tablet PC

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CHI '05 Paper Acceptance Rate 93 of 372 submissions, 25%;
Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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