Skip to main content

Effects on Girls’ Emotions During Gamification Tasks with Male Priming in STEM Subjects via Eye Tracking

  • Conference paper
  • First Online:
Smart Education and e-Learning 2020

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 188))

Abstract

In the war of talents, there is great potential in female workers. It is important to gain the interest of female students in science–technology–mathematics–engineering (STEM) courses during their school time. One aim of our study was to find out which emotions teen girls (age 13–15) have while doing (block) programming gamification tasks and observe them while doing binary code calculation and building a Calliope mini piano (no gamification tasks). An eye tracker with an emotion software (based on Facial Action Coding System) measures their emotions during the gamification tasks. The girls were first divided into different groups, then primed in different gender stereotypes (Pro-STEM, Anti-STEM, and no priming). It was noticeable that the girls who were primed with Anti-STEM achieved better results in the programming game. This could be due to the age of the girls (puberty). It could be observed that the girls enjoyed the gamification tasks. The other tasks were hardly noticed. Gamification is one key to reach them.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 299.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Statistik der Bundesagentur für Arbeit Berichte: Blickpunkt Arbeitsmarkt–MINT—Berufe, Nürnberg, Sept 2018 https://statistik.arbeitsagentur.de/Statischer-Content/Arbeitsmarktberichte/Berufe/generische-Publikationen/Broschuere-MINT.pdf. Access: 26 May 2019

  2. Girls’ Day.: Was ist der Girls’ Day (2019). https://www.girls-day.de/Footer/Haeufige-Fragen Access: 16 May 2019

  3. Reker, J.: Girls’ Day-Auftakt 2019: Mädchen für MINT-Berufe begeistern (2019). https://www.girls-day.de/Footer/Presse/Pressemitteilungen/Girls-Day-Auftakt-2019-Maedchen-fuer-STEM-Berufe-begeistern. Access: 26 May 2019

  4. Chatard, A., Guimond, S., Selimbegovic, L.: ‘How good are you in math?’ The effect of gender stereotypes on students’ recollection of their school marks. J. Exp. Soc. Psychol. 43(6), 1017–1024 (2007)

    Article  Google Scholar 

  5. Fine, C.: Die Geschlechter Lüge. Die Macht der Vorurteile über Frau und Mann. /Delusions of Gender. The Real Science behind Sex Differences. How Our Minds, Society, and Neurosexism Create Difference. W.W. Norton & Company, New York, London (2010)

    Google Scholar 

  6. Mast, M.S.: Men are hierarchical, women are egalitarian: An implicit gender stereotype. Swiss J. Psychol. 63(2), 107–111 (2004)

    Article  Google Scholar 

  7. Rudman, L.A., Kilianski, S.E.: Implicit and explicit attitudes towards female authority. Pers. Soc. Psychol. Bull. 26(11), 1315–1328 (2000)

    Article  Google Scholar 

  8. Ortner, T., Sieverding, M.: Where are the gender differences? Male priming boosts spatial skills in women. Sex Roles. 59, 274–281 (2008). https://doi.org/10.1007/s11199-008-9448-9

    Article  Google Scholar 

  9. iMotions.: Tobii X2-30, https://imotions.com/tobii-x2-30/. Access: 23 May 2019, p. 1

  10. Stajkovic, A.D., Locke, E.A., Blair, E.S.: A first examination of the relationships between primed subconscious goals, assigned conscious goals, and task performance. J. Appl. Psychol. 91, 1172–1180 (2006)

    Article  Google Scholar 

  11. McIntyre, R.B., Lord, C.G., Gresky, Dana, Ten Eyck, L.L., Frye, G.D.J., Bond Jr., C.F.: A social impact trend in the effects of role models on alleviating women’s mathematics stereotype threat. Curr. Res. Soc. Psychol. 10, 116–136 (2005)

    Google Scholar 

  12. Code.org Frozen (2019). https://studio.code.org/s/frozen/stage/1/puzzle/1‘. Access: 26 May 2019

  13. Code.org (2019). https://code.org/international/about Access: 26 May 2019

  14. Uskov, V.L., Bakken, J.P., Pandey, A.: The ontology of next generation smart classrooms. In: Proceedings of the 2nd International Conference on Smart Education and e-Learning SEEL-2016, 17–19 June 2015, pp. 1–11. Springer, Sorrento, Italy (2015)

    Google Scholar 

  15. Uskov, V.L, Bakken, J.P., Pandey, A., Singh, U., Yalamanchili, M., Penumatsa, A.: Smart University taxonomy: features, components, systems. In: Uskov, V.L., Howlett, R.J., Jain, L.C. (eds.) Smart Education and E-Learning 2016, pp. 3–14, Springer (2016). ISBN: 978-3-319-39689-7

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tabea Wanner .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wanner, T., Wanner, T., Etzold, V. (2020). Effects on Girls’ Emotions During Gamification Tasks with Male Priming in STEM Subjects via Eye Tracking. In: Uskov, V., Howlett, R., Jain, L. (eds) Smart Education and e-Learning 2020. Smart Innovation, Systems and Technologies, vol 188. Springer, Singapore. https://doi.org/10.1007/978-981-15-5584-8_6

Download citation

Publish with us

Policies and ethics