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The who, what, when, and why of lecture capture

Published:27 February 2011Publication History

ABSTRACT

Video lecture capture is rapidly being deploying in higher-education institutions as a means of increasing student learning, outreach, and experience. Understanding how learners use these systems and relating this use back to pedagogical and institutional goals is a hard issue that has largely been unexplored. This work describes a novel web-based lecture presentation system which contains fine-grained user tracking features. These features, along with student surveys, have been used to help analyse the behaviour of hundreds of students over an academic term, quantifying both the learning approaches of students and their perceptions on learning with lecture capture.

References

  1. opencast community project, http://www.opencastproject.org/Google ScholarGoogle Scholar
  2. Echo360 Inc., http://www.echo360.com/Google ScholarGoogle Scholar
  3. ePresence, http://epresence.tv/Google ScholarGoogle Scholar
  4. Mertens, R., Ketterl, M., Vornberger, O.: The virtPresenter lecture recording system: Automated production of web lectures with interactive content overviews. Int. J. of Interactive Technology and Smart Education (ITSE) 4(1), 55--66 (2007)Google ScholarGoogle ScholarCross RefCross Ref
  5. Brooks, C., Amundson, K., Greer, J.: Detecting Significant Events in Lecture Video using Supervised Machine Learning. In: International Conference on Artificial Intelligence in Education (AIED), Brighton, UK (2009) Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. McCalla, G.: The Ecological Approach to the Design of E-Learning Environments: Purpose-based Capture and Use of Information About Learners. J. of Interactive Media in Education 2004(1), (2004)Google ScholarGoogle ScholarCross RefCross Ref
  7. Najjar, J., Wolpers, M., Duval, E.: Attention Metadata: Collection and Management. World Wide Web Conference (WWW) Workshop on Logging Traces of Web Activity: The Mechanics of Data Collection (2006)Google ScholarGoogle Scholar
  8. Kaltura open source video, http://corp.kaltura.com/Google ScholarGoogle Scholar
  9. Blackboard, http://www.blackboard.com/Google ScholarGoogle Scholar
  10. Witten, I., Frank, E.: Data Mining Practical Machine Learning Tools and Techniques. Morgan Kaufmann, San Francisco (2005) Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Weka, http://www.cs.waikato.ac.nz/ml/weka/Google ScholarGoogle Scholar
  12. Lazar, J., Feng, J., Hochheiser, H.: Research Methods in Human-Computer Interaction. John Wiley & Sons Ltd, Glasgow (2010) Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. OpenCourseWare Consortium, http://www.ocwconsortium.orgGoogle ScholarGoogle Scholar
  14. iTunes U, http://www.apple.com/education/itunes-u/Google ScholarGoogle Scholar
  15. YouTube EDU, http://www.youtube.com/education?b=400Google ScholarGoogle Scholar

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  1. The who, what, when, and why of lecture capture

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        cover image ACM Other conferences
        LAK '11: Proceedings of the 1st International Conference on Learning Analytics and Knowledge
        February 2011
        195 pages
        ISBN:9781450309448
        DOI:10.1145/2090116

        Copyright © 2011 ACM

        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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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 27 February 2011

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        Overall Acceptance Rate236of782submissions,30%

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