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Looking into the Educational Mirror: Why Computation Is Hardly Being Taught in the Social Sciences, and What to Do About It

  • Wander JagerEmail author
  • Katarzyna Abramczuk
  • Agata Komendant-Brodowska
  • Anna Baczko-Dombi
  • Benedikt Fecher
  • Natalia Sokolovska
  • Tom Spits
Conference paper
  • 74 Downloads
Part of the Springer Proceedings in Complexity book series (SPCOM)

Abstract

In the current digital era, with an increasingly complex and turbulent society, demand is rising for social scientists capable of analysing behavioural dynamics. Studying behavioural dynamics is a valuable lens, both in public policy making and community planning and in scientific projects on how human behaviour affects ecosystems. Computational social science (CSS) offers a framework for this type of studies, as it connects a complex networked systems perspective with a suite of computational tools and methodologies. Despite its potential and fast growth, CSS is still hardly found in programmes at bachelor and master levels in Europe. We would like to take a closer look at this discrepancy. We discuss why there is a need to develop computational education in the social sciences and why it is a challenge. We consider two perspectives. In the students’ perspective, there is the problem of mathematical anxiety and gender inequalities in STEM education. In the academic teachers’ perspective, there is the problem of a split within social sciences, inadequacy of statistical models for analysing dynamics, and insufficient educational resources at an appropriate level of difficulty. We build a case for creating a MOOC programme addressed specifically to social sciences students to fill in the existing gaps, facilitate the organisation of learning communities, and advance computational thinking within social science. Creating such a MOOC programme is the goal of our Erasmus+ project “Action for Computational Thinking in Social Sciences” (ACTISS).

Keywords

Computational social science Computational thinking Higher education Educational innovation Massive open online course (MOOC) 

References

  1. 1.
    EU Commission document: Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the regions supporting growth and jobs – an agenda for the modernisation of Europe’s higher education systems. http://eur-lex.europa.eu/legal-content/GA/ALL/?uri=CELEX:52011DC0567. Accessed 21 March 2018 (2011)
  2. 2.
    Cioffi-Revilla, C.: Introduction to Computational Social Science. Principles and Applications. Springer, London (2014)zbMATHCrossRefGoogle Scholar
  3. 3.
    Vallacher, R.R., Read, S.J., Nowak, A. (eds.): Computational Social Psychology. Routledge, New York (2017)Google Scholar
  4. 4.
    Open Science Collaboration: Estimating the reproducibility of psychological science. Science. 349(6251), (2015).  https://doi.org/10.1126/science.aac4716
  5. 5.
    Jager, W.: Enhancing the realism of simulation (EROS): on implementing and developing psychological theory in social simulation. J. Artif. Soc. Soc. Simul. 20(3), 14 (2017).  https://doi.org/10.18564/jasss.3522 CrossRefGoogle Scholar
  6. 6.
    Gilbert, N., Troitzsch, K.: Simulation for the Social Scientist, 2nd edn. Open University Press, Maindenhead (2005)Google Scholar
  7. 7.
    Squazzoni, F., Jager, W., Edmonds, B.: Social simulation in the social sciences: a brief overview. Soc. Sci. Comput. Rev. 32(3), 279–294 (2014)CrossRefGoogle Scholar
  8. 8.
    Watts, D.J.: Should social science be more solution-oriented? Nat. Hum. Behav. 1, 0015 (2017)CrossRefGoogle Scholar
  9. 9.
    Metzler, K., Kim, D.A., Allum, N., Denman, A.: Who is Doing Computational Social Science? Trends in Big Data Research (White Paper). SAGE Publishing, London (2016).  https://doi.org/10.4135/wp160926 CrossRefGoogle Scholar
  10. 10.
    Ashcraft, M.H.: Math anxiety: personal, educational, and cognitive consequences. Curr. Dir. Psychol. Sci. 11(5), 181–185 (2002)CrossRefGoogle Scholar
  11. 11.
    Onwuegbuzie, A.J., Wilson, V.A.: Statistics anxiety: nature, etiology, antecedents, effects, and treatments--a comprehensive review of the literature. Teach. High. Educ. 8(2), 195–209 (2003)CrossRefGoogle Scholar
  12. 12.
    Zeidner, M.: Statistics and mathematics anxiety in social science students: some interesting parallels. Br. J. Educ. Psychol. 61(3), 319–328 (1991)CrossRefGoogle Scholar
  13. 13.
    Fraillon, J., Ainley, J., Schulz, W., Friedman, T., Gebhardt, E.: Preparing for life in a digital age: The IEA International Computer and Information Literacy Study international report. https://link.springer.com/content/pdf/10.1007/978-3-319-14222-7.pdf. Accessed 21 March 2018 (2014)
  14. 14.
    Eurostat database: European Commission. https://ec.europa.eu/eurostat/data/database. Accessed 21 March 2018 (2017)
  15. 15.
    Buschor, C.B., Berweger, S., Keck Frei, A., Kappler, C.: Majoring in STEM—what accounts for women’s career decision making? A mixed methods study. J. Educ. Res. 107(3), 167–176 (2014)CrossRefGoogle Scholar
  16. 16.
    Nightingale, P., Scott, A.: Peer review and the relevance gap: ten suggestions for policy-makers. Sci. Public Policy. 34(8), 543–553 (2007)CrossRefGoogle Scholar
  17. 17.
    Rafols, I., Leydesdorff, L., O’Hare, A., Nightingale, P., Stirling, A.: How journal rankings can suppress interdisciplinary research: a comparison between innovation studies and business & management. Res. Policy. 41(7), 1262–1282 (2012)CrossRefGoogle Scholar
  18. 18.
    Wilensky, U.: Center for Connected Learning and Computer-Based Modeling. Northwestern University, Netlogo (1999)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Wander Jager
    • 1
    Email author
  • Katarzyna Abramczuk
    • 2
  • Agata Komendant-Brodowska
    • 2
  • Anna Baczko-Dombi
    • 2
  • Benedikt Fecher
    • 3
  • Natalia Sokolovska
    • 3
  • Tom Spits
    • 1
  1. 1.University of Groningen, University College, Groningen Center for Social Complexity StudiesGroningenThe Netherlands
  2. 2.University of Warsaw, Institute of Sociology, University of WarsawWarsawPoland
  3. 3.The Alexander von Humboldt Institute of Internet and Society (HIIG)BerlinGermany

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