Digitization, Disruption, and the “Society of Singularities”: The Transformative Power of the Global Education Industry

  • S. Karin AmosEmail author


Digitization and algorithmization in education refer to a variety of phenomena spanning the whole range from the “nice to have” to a revolution in educational provision, a true disruption of how, where, and also by whom students are educated. The main narrative of digitization suggests improved, enhanced, or augmented learning experiences and rarely mentions a radical systems overhaul. However, as the global education industry (GEI) is closely linked to key players and stakeholders of technological development, who usually have a strong faith in disruptive innovation, the GEI may be said to pursue a specific agenda. This agenda is reinforced by overall societal trends that have been recently described by the German sociologist Andreas Reckwitz as the society of singularities. This chapter explores the implications of this analysis for GEI.


  1. Biesta, G. (2015). What Is Education for? On Good Education, Teacher Judgement, and Educational Professionalism. European Journal of Education, 50(1), 75–87.CrossRefGoogle Scholar
  2. BMBF (Bundesministerium für Bildung und Forschung). (2018). Bildung Digital. Retrieved from: Last 19 July 2018. Accessed 01 June 2018.
  3. Carey, K. (2015). The End of College. Creating the Future of Learning and the University of Everywhere. New York: Riverhead Books.Google Scholar
  4. Christensen, C., Horn, M. B., & Johnson, C. W. (2008). Disrupting Class: How Disruptive Innovation Will Change the Way the World Learns. New York: McGraw-Hill.Google Scholar
  5. Danaher, J. (2014). Rule by Algorithm? Big Data and the Threat of Algocracy. Retrieved from: Last 19 July 2018.
  6. Dräger, J., & Müller-Eiselt, R. (2017). Die Digitale Revolution, Der radikale Wandel des Lernens und wie wir ihn gestalten können. München, Germany: Deutsche Verlagsanstalt.Google Scholar
  7. EC (European Commission) (2017). Digital Education Policies in Europe and Beyond. Key Design Principles for More Effective Policies (Joint Research Center Policy Report). Luxembourg: Publications Office of the European Union.Google Scholar
  8. Eggers, D. (2013). The Circle. New York: A. Knopf.Google Scholar
  9. EPRS. (2014). Digital Opportunities for Education in the EU. Retrieved from: Last 19 July 2018.
  10. Han, B.-C. (2014). Psychopolitik. Neoliberalismus und die neuen Machttechniken. Frankfurt am Main, Germany: S. Fischer Wissenschaft.Google Scholar
  11. Hartong, S. (2016). Between Assessments, Digital Technologies, and Big Data: The Growing Influence of ‘Hidden’ Data Mediators in Education. European Educational Research Journal, 15(5), 523–536.CrossRefGoogle Scholar
  12. Karcher, M. (2015). Ich-Maschine – Das ‚kybernetische Selbst‘ im Kompetenzdiskurs. In E. Christof & E. Ribolits (Eds.), Bildung und Macht. Eine kritische Bestandsaufnahme (pp. 81–100). Vienna: Erhard Löcker.Google Scholar
  13. Kurzweil, R. (2005). The Singularity Is Near. New York: Viking.Google Scholar
  14. OECD. (2016). Innovating Education and Educating for Innovation: The Power of Digital Technologies and Skills. Paris: OECD Publishing.CrossRefGoogle Scholar
  15. Parreira do Amaral, M. (2011). Emergenz eines Internationalen Bildungsregimes? International Education Governance und Regimetheorie. Münster et al.: Waxmann.Google Scholar
  16. Phi Kappa Phi. (2016). 2016 Phi Kappa Phi Excellence in Innovation Award. Retrieved from: Last 19 July 2018.
  17. Radtke, F.-O. (2009). Evidenzbasierte Steuerung – Der Aufmarsch der Manager im Erziehungssystem. In R. Tippelt (Ed.), Steuerung durch Indikatoren. Opladen, Germany: Budrich.Google Scholar
  18. Reckwitz, A. (2017). Die Gesellschaft der Singularitäten. Berlin, Germany: Suhrkamp.Google Scholar
  19. Sheehy, K., Ferguson, R., & Clough, G. (2014). Augmented Education. Bringing Real and Virtual Learning Together. New York: Palgrave Macmillan.Google Scholar
  20. Verger, A. (2016). The Rise of the Global Education Industry: Some Concepts, Facts and Figures. Retrieved from: Last 19 July 2018. Accessed 01 June 2018.
  21. Zarkadakis, G. (2016). In Our Own Image: Savior or Destroyer? The History and Future of Artificial Intelligence. New York/London: Pegasus.Google Scholar

Copyright information

© The Author(s) 2019

Authors and Affiliations

  1. 1.University of TübingenTübingenGermany

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