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A promised land for educational decision-making?: present and future of learning analytics

Published:14 November 2013Publication History

ABSTRACT

There is increasing interest in Learning Analytics, a concept that has evolved in the last years from the status of buzzword or trend to the generation of a discipline within the educational field. In this paper, we introduce the Track on Learning Analytics within the Technological Ecosystems for Enhancing Multiculturality 2013 Conference.

The paper provides a general overview of the motivations behind the proposal of this track, including a review of the current state of Learning Analytics, from its origins and a definition of the term to some pending issues for future research, which are addressed by the papers participating in the track and which hopefully will be expanded by future studies. The paper also includes an insight on the submission management and participants' selection process, which is followed by a detailed summary of the manuscripts accepted for participation in the conference and how they are linked to the track objectives.

References

  1. Agudo-Peregrina, Á.F. Iglesias-Pradas, S., Conde-González, M. A. and Hernández-García, Á. Can we predict success from log data in VLEs? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and online learning, Computers in Human Behavior, In press. Available online 2 July 2013, DOI = http://dx.doi.org/10.1016/j.chb.2013.05.031.Google ScholarGoogle Scholar
  2. Anderson, T. 2003. Getting the mix right again: An updated and theoretical rationale for interaction. The International Review of Research in Open and Distance Learning, 4, 2 (October 2003), 1--14.Google ScholarGoogle ScholarCross RefCross Ref
  3. Brooks, C. 2012. A Data-Assisted Approach to Supporting Instructional Interventions in Technology Enhanced Learning Environments. PhD Dissertation. University of Saskatchewan, Saskatoon, Canada.Google ScholarGoogle Scholar
  4. Buckingham Shum, S., and Ferguson, R. 2012. Social Learning Analytics. Educational Technology & Society, 15, 3, 3--26.Google ScholarGoogle Scholar
  5. Ferguson, R. 2012. The State Of Learning Analytics in 2012: A Review and Future Challenges. Technical Report KMI-12-01, Knowledge Media Institute, The Open University, UK.Google ScholarGoogle Scholar
  6. Google Trends: Learning Analytics. Available at: http://www.google.com/trends/explore?q=learning+analytics (Retrieved September 29, 2013)Google ScholarGoogle Scholar
  7. Johnson, L., Adams, S. and Cummins, M. 2012. The NMC Horizon Report: 2012 Higher Education Edition. Austin, Texas: The New Media Consortium.Google ScholarGoogle Scholar
  8. Laney, D. 2001. 3D Data Management: Controlling Data Volume, Velocity and Variety. META Group.Google ScholarGoogle Scholar
  9. Macfadyen, L., and Dawson, S. 2012. Numbers Are Not Enough. Why e-Learning Analytics Failed to Inform an Institutional Strategic Plan. Educational Technology & Society, 15, 3, 149--163Google ScholarGoogle Scholar
  10. Van Barneveld, A., Arnold, K. E., and Campbell, J. P. 2012. Analytics in higher education: Establishing a common language. Educause Learning Initiative, ELI Paper 1: 2012, 1--11.Google ScholarGoogle Scholar

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  1. A promised land for educational decision-making?: present and future of learning analytics

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              • Published in

                cover image ACM Other conferences
                TEEM '13: Proceedings of the First International Conference on Technological Ecosystem for Enhancing Multiculturality
                November 2013
                582 pages
                ISBN:9781450323451
                DOI:10.1145/2536536

                Copyright © 2013 ACM

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                Association for Computing Machinery

                New York, NY, United States

                Publication History

                • Published: 14 November 2013

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                • research-article

                Acceptance Rates

                TEEM '13 Paper Acceptance Rate94of118submissions,80%Overall Acceptance Rate496of705submissions,70%

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