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Teaching Linked Open Data Using Open Educational Resources

  • Alexander Mikroyannidis
  • John Domingue
  • Maria Maleshkova
  • Barry Norton
  • Elena Simperl
Chapter
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9500)

Abstract

Recent trends in online education have seen the emergence of Open Educational Resources (OERs) and Massive Open Online Courses (MOOCs) as an answer to the needs of learners and educators for open and reusable educational material, freely available on the web. At the same time, Big Data and the new analytics and business intelligence opportunities that they offer are creating a growing demand for data scientists possessing skills and detailed knowledge in this area. This chapter presents a methodology for the design and implementation of an educational curriculum about Linked Open Data, supported by multimodal OERs. These OERs have been implemented as a combination of living learning materials and activities (eBook, online courses, webinars, face-to-face training), produced via a rigorous process and validated by the data science community through continuous feedback.

Keywords

Open educational resources Massive open online courses Linked open data Big data Ebooks Data science 
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Notes

Acknowledgment

The research leading to these results has received funding from the European Community’s Seventh Framework Programme under grant agreement no 296229 (EUCLID project).

References

  1. 1.
    Atkins, D.E., Brown, J.S., Hammond, A.L.: A review of the open educational resources (OER) movement: Achievements, Challenges, and New Opportunities. The William and Flora Hewlett Foundation (2007)Google Scholar
  2. 2.
    Attwood, R.: OER university to cut cost of degree. Times Higher Education (2011). http://www.timeshighereducation.co.uk/story.asp?storycode=415127
  3. 3.
    Benjamins, R., Jariego, F.: Open Data: A ‘No-Brainer’ for all. Telefónica Innovation Hub (2013). http://blog.digital.telefonica.com/2013/12/05/open-data-intelligence/
  4. 4.
    Berners-Lee, T.: Linked Data - Design Issues (2006). http://www.w3.org/DesignIssues/LinkedData.html
  5. 5.
    Bizer, C., Heath, T., Berners-Lee, T.: Linked data—The story so far. Int. J. Semant. Web Inf. Syst. 5(3), 1–22 (2009)CrossRefGoogle Scholar
  6. 6.
    Cadwalladr, C.: Do online courses spell the end for the traditional university? The Guardian (2012). http://www.theguardian.com/education/2012/nov/11/online-free-learning-end-of-university
  7. 7.
    Davenport, T.H., Patil, D.J.: Data Scientist: The Sexiest Job of the 21st Century. Harvard Business Review (2012). http://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century
  8. 8.
    Glick, B.: Government calls for more data scientists in the UK. Computer Weekly (2013). http://www.computerweekly.com/news/2240208220/Government-calls-for-more-data-scientists-in-the-UK
  9. 9.
    Kanwar, A., Uvalić-Trumbić, S., Butcher, N.: Basic Guide to Open Educational Resources (OER). Commonwealth of Learning & UNESCO (2011). http://www.col.org/resources/publications/Pages/detail.aspx?PID=357
  10. 10.
    Magoulas, R., King, J.: Data Science Salary Survey: Tools, Trends, What Pays (and What Doesn’t) for Data Professionals, O’Reilly (2014)Google Scholar
  11. 11.
    Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., Byers, A.H.: Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute (2011). http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation
  12. 12.
    McAfee, A., Brynjolfsson, E.: Big Data: The Management Revolution. Harvard Business Review (2012). http://hbr.org/2012/10/big-data-the-management-revolution/
  13. 13.
    McKenna, B.: Demand for big data IT workers to double by 2017, says eSkills. Computer Weekly (2012). http://www.computerweekly.com/news/2240174273/Demand-for-big-data-IT-workers-to-double-by-2017-says-eSkills
  14. 14.
    OEDB, 80 Open Education Resource (OER) Tools for Publishing and Development Initiatives (2007). http://oedb.org/library/features/80-oer-tools
  15. 15.
    Open Knowledge Foundation. Open Data Handbook Documentation (2012). http://opendatahandbook.org/pdf/OpenDataHandbook.pdf
  16. 16.
    Sharples, M., Mcandrew, P., Weller, M., Ferguson, F., Fitzgerald, E., Hirst, T., Mor, Y., Gaved, M., Whitelock, D.: Innovating Pedagogy Exploring new forms of teaching, learning and assessment, to guide educators and policy makers. The Open University (2012). http://www.open.ac.uk/personalpages/mike.sharples/Reports/Innovating_Pedagogy_report_July_2012.pdf
  17. 17.
    Simperl, E., Norton, B., Acosta, M., Maleshkova, M., Domingue, J., Mikroyannidis, A., Mulholland, P., Power, R.: Using Linked Data Effectively: iPad Edition, The Open University (2013)Google Scholar
  18. 18.
    Technology Enhanced Knowledge Research Institute (TEKRI). Open Education Resources (OER) for assessment and credit for students project: Towards a logic model and plan for action. Athabasca University (2011). http://auspace.athabascau.ca/bitstream/2149/3039/1/Report_OACS-FinalVersion.pdf
  19. 19.
    Wiley, D.: On the sustainability of open educational resource initiatives in higher education. OECD Centre for Educational Research and Innovation (CERI) (2007). http://www.oecd.org/dataoecd/33/9/38645447.pdf

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Alexander Mikroyannidis
    • 1
  • John Domingue
    • 1
  • Maria Maleshkova
    • 2
  • Barry Norton
    • 3
  • Elena Simperl
    • 4
  1. 1.Knowledge Media InstituteThe Open UniversityMilton KeynesUK
  2. 2.Karlsruhe Institute of TechnologyKarlsruheGermany
  3. 3.British MuseumLondonUK
  4. 4.University of SouthamptonSouthamptonUK

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