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Observing URL Sharing Behaviour in Massive Online Open Courses

Published:25 April 2016Publication History

ABSTRACT

Information sharing is a key activity of Massive Online Open Courses (MOOCs) user behavior. Sharing Uniform Resource Locators (URLs) has been identified as a means for individuals in online spaces to generate social relationships, construct knowledge, and disseminate information; however this activity has not been investigated within the MOOC space. This paper presents an observational study of URL sharing within MOOCs, and explores how a MOOC learning community responded to this micro behaviour. The research explored 1,471 comments and 416 learners who displayed URL sharing behavior from two iterations of the "Irish Lives" Futurelearn / Trinity College, University of Dublin MOOC. The analysis identified patterns of behavior within "URL Sharers", and suggests that this activity could support greater learner interaction. Although causality is not implied, the results of this analysis contributes a tentative new understanding of URL sharing in MOOCs, and denotes a new MOOC micro behaviour. This can be useful for MOOC practitioners to facilitate design choices.

References

  1. Ma, W.W.K. and Yuen, A.H.K., 201 Understanding online knowledge sharing: An interpersonal relationship perspective. Computers & Education 56, 1 (1//), 210--219. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Holton, A.E., Baek, K., Coddington, M., and Yaschur, C., 2014. Seeking and Sharing: Motivations for Linking on Twitter. Communication Research Reports 31, 1, 33--40.Google ScholarGoogle ScholarCross RefCross Ref
  3. Siemens, G., 2005. Connectivism: A Learning Theory for the Digital Age. International Journal of Instructional Technology & Distance Learning 2, 1.Google ScholarGoogle Scholar

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  1. Observing URL Sharing Behaviour in Massive Online Open Courses

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        • Published in

          cover image ACM Conferences
          L@S '16: Proceedings of the Third (2016) ACM Conference on Learning @ Scale
          April 2016
          446 pages
          ISBN:9781450337267
          DOI:10.1145/2876034

          Copyright © 2016 Owner/Author

          Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 25 April 2016

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          L@S '16 Paper Acceptance Rate18of79submissions,23%Overall Acceptance Rate117of440submissions,27%

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