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Quantitative Analysis of Learning Object Repositories

Published: 01 July 2009 Publication History

Abstract

This paper conducts the first detailed quantitative study of the process of publication of learning objects in repositories. This process has been often discussed theoretically, but never empirically evaluated. Several question related to basic characteristics of the publication process are raised at the beginning of the paper and answered through quantitative analysis. To provide a wide view of the publication process, this paper analyzes four types of repositories: Learning Object Repositories, Learning Object Referatories, Open Courseware Initiatives, and Learning Management Systems. For comparison, Institutional Repositories are also analyzed. Three repository characteristics are measured: size, growth, and contributor base. The main findings are that the amount of learning objects is distributed among repositories according to a power law, the repositories mostly grow linearly, and the amount of learning objects published by each contributor follows heavy-tailed distributions. The paper finally discusses the implications that this findings could have in the design and operation of Learning Object Repositories.

Cited By

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  • (2020)Learning objects lost in the network2020 IEEE Frontiers in Education Conference (FIE)10.1109/FIE44824.2020.9274278(1-7)Online publication date: 21-Oct-2020
  • (2020)Promoting Inclusive Open Education: A Holistic Approach Towards a Novel Accessible OER Recommender SystemComputers Helping People with Special Needs10.1007/978-3-030-58805-2_20(166-176)Online publication date: 9-Sep-2020
  • (2019)Nature inspired clustering and indexing of learning objects based on learners cognitive skillsInternational Journal of Knowledge-based and Intelligent Engineering Systems10.3233/KES-19039823:1(41-53)Online publication date: 1-Jan-2019
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Information & Contributors

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Published In

cover image IEEE Transactions on Learning Technologies
IEEE Transactions on Learning Technologies  Volume 2, Issue 3
July 2009
92 pages

Publisher

IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 July 2009

Author Tags

  1. LMS.
  2. LOR
  3. Learning objects
  4. OCW
  5. publication
  6. repositories

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Cited By

View all
  • (2020)Learning objects lost in the network2020 IEEE Frontiers in Education Conference (FIE)10.1109/FIE44824.2020.9274278(1-7)Online publication date: 21-Oct-2020
  • (2020)Promoting Inclusive Open Education: A Holistic Approach Towards a Novel Accessible OER Recommender SystemComputers Helping People with Special Needs10.1007/978-3-030-58805-2_20(166-176)Online publication date: 9-Sep-2020
  • (2019)Nature inspired clustering and indexing of learning objects based on learners cognitive skillsInternational Journal of Knowledge-based and Intelligent Engineering Systems10.3233/KES-19039823:1(41-53)Online publication date: 1-Jan-2019
  • (2019)Evaluating Teachers’ Perceptions of Learning Design Recommender SystemsTransforming Learning with Meaningful Technologies10.1007/978-3-030-29736-7_8(98-111)Online publication date: 16-Sep-2019
  • (2019)Use of Graph Theory for the Representation of Scientific CollaborationComputational Collective Intelligence10.1007/978-3-030-28374-2_47(543-554)Online publication date: 4-Sep-2019
  • (2018)A hybrid recommender system integrated into LAMS for learning designersEducation and Information Technologies10.1007/s10639-017-9668-023:3(1297-1329)Online publication date: 1-May-2018
  • (2017)Needles in the Haystack: Finding Content Worth Preparing for Workplace Learning with the KEP ModelIEEE Transactions on Learning Technologies10.1109/TLT.2016.258848410:3(379-390)Online publication date: 1-Jul-2017
  • (2015)A social network-based teacher model to support course constructionComputers in Human Behavior10.1016/j.chb.2015.03.03851:PB(1077-1085)Online publication date: 1-Oct-2015
  • (2015)Open educational resources repositories literature review - Towards a comprehensive quality approaches frameworkComputers in Human Behavior10.1016/j.chb.2015.03.02651:PB(1098-1106)Online publication date: 1-Oct-2015
  • (2014)Use of a Semantic Learning Repository to Facilitate the Creation of Modern e-Learning SystemsProceedings of the XV International Conference on Human Computer Interaction10.1145/2662253.2662345(1-7)Online publication date: 10-Sep-2014
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