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abstract

Learning analytics and policy (LAP): international aspirations, achievements and constraints

Published: 13 March 2017 Publication History

Abstract

The Learning Analytics and Policy (LAP) workshop explores and documents the ways in which policies at national and regional level are shaping the development of learning analytics. It brings together representatives from around the world who report on the circumstances in their own country. The workshop is preceded by an information gathering phase, and followed by the authoring of a report. The aspirations, achievements and constraints in the different countries are contrasted and documented, providing a valuable resource for the future development of learning analytics.

References

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Sclater, N., Peasgood, A., and Mullan, J. 2016. Learning analytics in higher education. Jisc, UK. Retrieved January 9th, 2017, from Jisc: https://www.jisc.ac.uk/reports/learning-analytics-in-higher-education
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Oster, M., Lonn, S., Pistilli, M.D., and Brown, M.G. 2016. The Learning Analytics Readiness Instrument. Proceedings of the Sixth International Conference on Learning Analytics & Knowledge. ACM, NY, 173--182.
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Australian Government Office for Learning and Teaching. 2013. Student retention and learning analytics.
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Pea, R., Jacks, D. 2014. Building the Field of Learning Analytics for Personalized Learning at Scale. The Learning Analytics Workgroup. Stanford University, CA.
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Macfadyen, L. P., Dawson, S. 2012. Numbers Are Not Enough. Why e-Learning Analytics Failed to Inform an Institutional Strategic Plan. Educational Technology & Society, 15(3), 149--163.
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Wolf, M. A. 2014. Capacity Enablers and Barriers for Learning Analytics: Implications for Policy and Practice. Alliance for Excellent Education.
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Cardinali, F., Ferguson, R., Griffiths, D., Hoel, T. Karlberg, P., Paini, M., Reynolds, S., Rienties, B., van der Schaaf, M., Scheffel, M., Wastiau, P. 2015. Policy recommendations for learning analytics from three stakeholder workshops. LACE Learning Analytics Review, no. 3, July 2015. Retrieved from LACE, January 9th, 2017, from LACE: http://www.laceproject.eu/publications/policy-recommendations-lace-workshops.pdf
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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 protection
      2. learning analytics
      3. open data
      4. policy
      5. privacy

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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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