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Community based educational data repositories and analysis tools

Published: 13 March 2017 Publication History

Abstract

This workshop will explore community based repositories for educational data and analytic tools that are used to connect researchers and reduce the barriers to data sharing. Leading innovators in the field, as well as attendees, will identify and report on bottlenecks that remain toward our goal of a unified repository. We will discuss these as well as possible solutions. We will present LearnSphere, an NSF funded system that supports collaborating on and sharing a wide variety of educational data, learning analytics methods, and visualizations while maintaining confidentiality. We will then have hands-on sessions in which attendees have the opportunity to apply existing learning analytics workflows to their choice of educational datasets in the repository (using a simple drag-and-drop interface), add their own learning analytics workflows (requires very basic coding experience), or both. Leaders and attendees will then jointly discuss the unique benefits as well as the limitations of these solutions. Our goal is to create building blocks to allow researchers to integrate their data and analysis methods with others, in order to advance the future of learning science.

References

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Koedinger, K.R., Booth, J.L., & Klahr, D. (2013). Instructional complexity and the science to constrain it. Science, 342(6161), 935--937.
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Koedinger, K.R., Kim, J., Jia, J.Z., McLaughlin, E.A., & Bier, N.L. (2015). Learning is not a spectator sport: Doing is better than watching for learning from a MOOC. In Proceedings of the 2nd ACM Conference on Learning@ Scale, pp. 111--120.
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Koedinger, K.R., Corbett, A.T., & Perfetti, C. (2012). The Knowledge-Learning-Instruction framework: Bridging the science-practice chasm to enhance robust student learning. Cognitive science, 36(5), 757--798.
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Newell, A. (1990). Unified theories of cognition. Cambridge, MA: Harvard University Press.
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Pavlik, P.I., Cen, H., & Koedinger, K.R. (2009). Performance factors analysis - A new alternative to knowledge tracing. In Proceedings of the 14th International Conference on AIED, 531--538.

Cited By

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  • (2020)Learning analytics challengesProceedings of the Tenth International Conference on Learning Analytics & Knowledge10.1145/3375462.3375463(554-558)Online publication date: 23-Mar-2020
  • (2018)The classroom as a dashboardProceedings of the 8th International Conference on Learning Analytics and Knowledge10.1145/3170358.3170377(79-88)Online publication date: 7-Mar-2018

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LAK '17: Proceedings of the Seventh International Learning Analytics & Knowledge Conference
March 2017
631 pages
ISBN:9781450348706
DOI:10.1145/3027385
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: 13 March 2017

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Author Tags

  1. data storage and sharing
  2. data-informed efforts
  3. data-informed learning theories
  4. learning metrics
  5. modeling
  6. scalability

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LAK '17
LAK '17: 7th International Learning Analytics and Knowledge Conference
March 13 - 17, 2017
British Columbia, Vancouver, Canada

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LAK '17 Paper Acceptance Rate 36 of 114 submissions, 32%;
Overall Acceptance Rate 236 of 782 submissions, 30%

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Cited By

View all
  • (2020)Learning analytics challengesProceedings of the Tenth International Conference on Learning Analytics & Knowledge10.1145/3375462.3375463(554-558)Online publication date: 23-Mar-2020
  • (2018)The classroom as a dashboardProceedings of the 8th International Conference on Learning Analytics and Knowledge10.1145/3170358.3170377(79-88)Online publication date: 7-Mar-2018

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