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Co-creation strategies for learning analytics

Published:07 March 2018Publication History

ABSTRACT

In order to further the field of learning analytics (LA), researchers and experts may need to look beyond themselves and their own perspectives and expertise to innovate LA platforms and interventions. We suggest that by co-creating with the users of LA, such as educators and students, researchers and experts can improve the usability, usefulness, and draw greater understanding from LA interventions. Within this article we discuss the current LA issues and barriers and how co-creation strategies can help address many of these challenges. We further outline the considerations, both pre- and during interventions, which support and foster a co-created strategy for learning analytics interventions.

References

  1. George Siemens and Dragan Gasevic. 2012. Guest editorial-learning and knowledge analytics. Educational Technology & Society 15, 3, 1--2.Google ScholarGoogle Scholar
  2. Kirsty Kitto, Sebastian Cross, Zak Waters, and Mandy Lupton. 2015. Learning analytics beyond the LMS: the connected learning analytics toolkit. In Proceedings of the Fifth International Conference on Learning Analytics And Knowledge (LAK '15). ACM, New York, NY, USA, 11--15. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Erik Duval. 2011. Attention please!: learning analytics for visualization and recommendation. In Proceedings of the 1st International Conference on Learning Analytics and Knowledge (LAK '11). ACM, New York, NY, USA, 9--17. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. George Siemens, Shane Dawson, and Grace Lynch. 2013. Improving the quality and productivity of the higher education sector: Policy and strategy for systems-level deployment of learning analytics. Society for Learning Analytics Research (Dec 2013). Australian Office for Learning and Teaching, Canberra, ACT.Google ScholarGoogle Scholar
  5. Dragan Gašević, Shane Dawson, and George Siemens. 2015. Let's not forget: Learning analytics are about learning. Tech Trends 59, 1(Jan/Feb 2015), 64--71.Google ScholarGoogle Scholar
  6. Jason M. Lodge, Sakinah Alhadad, Melinda J Lewis, and Dragan Gašević. 2017. Inferring learning from big data: The importance of a transdisciplinary and multidimensional approach. Technology, Knowledge and Learning 22, 3(Oct 2017), 385--400.Google ScholarGoogle Scholar
  7. Lori Lockyer, Elizabeth Heathcote, and Shane Dawson. 2013. Informing pedagogical action: Aligning learning analytics with learning design. American Behavioral Scientist 57, 10(Mar 2013), 1439--1459.Google ScholarGoogle ScholarCross RefCross Ref
  8. Doug Clow. 2012. The learning analytics cycle: closing the loop effectively. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK '12), Simon Buckingham Shum, Dragan Gasevic, and Rebecca Ferguson (Eds.). ACM, New York, NY, USA, 134--138. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Montserrat Díaz-Méndez, and Evert Gummesson. 2012. Value co-creation and university teaching quality: Consequences for the European Higher Education Area (EHEA). Journal of Service Management 23, 4(Aug 2012), 571--592.Google ScholarGoogle ScholarCross RefCross Ref
  10. Stephen L. Vargo, and Robert F. Lusch. 2012. The nature and understanding of value: A service-dominant logic perspective. Special Issue-Toward a Better Understanding of the Role of Value in Markets and Marketing (Jan 2012), 1--12.Google ScholarGoogle Scholar
  11. Janet R. McColl-Kennedy, Stephen L. Vargo, Tracey Dagger, Jillian C. Sweeney, and Yasmin van Kasteren. 2012. Health care customer value cocreation practice styles. Journal of Service Research 15, 4(May 2012), 370--389.Google ScholarGoogle ScholarCross RefCross Ref
  12. Rebecca Ferguson. 2012. Learning analytics: Drivers, developments and challenges. International Journal of Technology Enhanced Learning 4, 5/6, 304--317. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Carlo Perrotta. 2012. Do school-level factors influence the educational benefits of digital technology? A critical analysis of teachers' perceptions. British Journal of Educational Technology, 44, 2(March 2013), 314--327.Google ScholarGoogle Scholar
  14. Sharon Slade and Paul Prinsloo. 2013. Learning analytics: Ethical issues and dilemmas. American Behavioral Scientist 57, 10(March 2013), 1510--1529.Google ScholarGoogle Scholar
  15. Pamela D. Morrison, John H. Roberts, and Eric von Hippel. 2000. Determinants of user innovation and innovation sharing in a local market. Management Science, 46, 12(Dec 2000), 1513--1527. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. CK Prahalad and Venat Ramaswamy. 2004. Co-creation experiences: The next practice in value creation. Journal of Interactive Marketing, 18, 3), pp.5--14.Google ScholarGoogle ScholarCross RefCross Ref
  17. Lindsay Pluijm. 2010. Realizing Co-creation. Master's Thesis. Tilburg University, Tilburg, Netherlands.Google ScholarGoogle Scholar
  18. Monica F. Cox and Angie Andriot. 2009. Mentor and undergraduate student comparisons of students' research skills. Journal of STEM Education: Innovations and Research 10, 1/2(Jan-June 2009), 31--39.Google ScholarGoogle Scholar
  19. Walesska Schlesinger, Amparo Cervera, and MÁ Iniesta. 2015. Key elements in building relationships in the higher education services context. Journal of Promotion Management, 21, 4(July 2015), 475--491.Google ScholarGoogle ScholarCross RefCross Ref
  20. Catherine Bovill, Alison Cook-Sather, and Peter Felten. 2011. Students as co-creators of teaching approaches, course design, and curricula: Implications for academic developers. International Journal for Academic Development 16, 2(June 2011), 133--145.Google ScholarGoogle ScholarCross RefCross Ref

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        cover image ACM Other conferences
        LAK '18: Proceedings of the 8th International Conference on Learning Analytics and Knowledge
        March 2018
        489 pages
        ISBN:9781450364003
        DOI:10.1145/3170358

        Copyright © 2018 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 7 March 2018

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        Acceptance Rates

        LAK '18 Paper Acceptance Rate35of115submissions,30%Overall Acceptance Rate236of782submissions,30%

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