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The Impact of the "Coding Girls" Program on High School Students' Educational Choices

Author

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  • Basiglio, Stefania

    (University of Bari)

  • Del Boca, Daniela

    (University of Turin)

  • Pronzato, Chiara D.

    (University of Turin)

Abstract

This paper evaluates the impact of "Coding Girls", an educational enrichment program designed to address the underrepresentation of women and girls in the fields of science, technology, engineering, and math (STEM) in Italy by stimulating young female students' interest in programming and science and encouraging them to consider careers in STEM-related fields. Implemented in ten secondary schools in Turin (Italy) over the period 2019-2022, the Coding Girls program provided lab-based computer programming instruction as well as introductory talks on specific topics in STEM. The program was evaluated by randomized controlled trial. Our results show that Coding Girls had a significant and positive impact on male and female students' programming skills and on their awareness of gender differences in the workforce. However, it did not seem to affect girls' aspirations to pursue higher education in STEM-related disciplines. The gender stereotypes children are exposed to from a very young age tend to steer girls and young women to the humanities. This bias is deeply entrenched and difficult to modify.

Suggested Citation

  • Basiglio, Stefania & Del Boca, Daniela & Pronzato, Chiara D., 2023. "The Impact of the "Coding Girls" Program on High School Students' Educational Choices," IZA Discussion Papers 15882, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp15882
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    References listed on IDEAS

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    1. Vincenzo Galasso & Paola Profeta & Chiara Pronzato & Francesco Billari, 2017. "Information and Women’s Intentions: Experimental Evidence About Child Care," European Journal of Population, Springer;European Association for Population Studies, vol. 33(1), pages 109-128, February.
    2. Chise Diana & Fort Margherita & Monfardini Chiara, 2021. "On the Intergenerational Transmission of STEM Education among Graduate Students," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 21(1), pages 115-145, January.
    3. Contini, Dalit & Tommaso, Maria Laura Di & Mendolia, Silvia, 2017. "The gender gap in mathematics achievement: Evidence from Italian data," Economics of Education Review, Elsevier, vol. 58(C), pages 32-42.
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    More about this item

    Keywords

    gender; STEM; higher educational choice;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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