Computational Thinking the High School Level as a Strategy to Stimulate Female Vocational Interest in Engineering Careers.

Authors

  • Karen Villalba Universidad Tecnológica Nacional Facultad Regional Delta, Argentina Ingeniería en Sistemas de Información; Cátedra Abierta Latinoamericana de Mujeres en Ingeniería MATILDA Comité de Investigación; Red Latinoamericana de los ODS Junta Directiva
  • Daiana Magalí Acosta Romero Universidad Tecnológica Nacional Facultad Regional Delta, Argentina Ingeniería en Sistemas de Información
  • Franco Iván Hilt Universidad Tecnológica Nacional Facultad Regional Delta, Argentina Ingeniería en Sistemas de Información
  • Victoria Jaquelina Ojeda Universidad Tecnológica Nacional Facultad Regional Delta, Argentina Ingeniería en Sistemas de Información

DOI:

https://doi.org/10.18687/LACCEI2024.1.1.935

Keywords:

Computational Thinking, High School Level, Female gender, Early Vocations, STEM, Engineering, Gender Gap.

Abstract

The incorporation of Computational Thinking (CP) workshops in the high school level emerges as an effective strategy to awaken the interest of female students in university engineering careers, in pursuit of reducing the gender gap. The systematic introduction of these workshops in pedagogical programs, in discordance with social stereotypes that can reduce the motivation of young women to get involved with CP, increase their enthusiasm in approaching the proposed activities, and awaken and/or increase interest to learn more about engineering careers. The PC methodology allows you to develop critical and creative thinking, acquire technological skills and develop confidence and self-esteem. These skills are essential for success in any field, and can help women break gender stereotypes and spark early vocations for STEM careers and especially engineering.

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Published

2024-07-27

License

Creative Commons License

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LACCEI retains copyright of all published articles under the terms of its copyright transfer agreement. As the copyright holder, LACCEI distributes the articles to the public under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).

How to Cite

Villalba, K., Acosta Romero, D. M., Hilt, F. I., & Ojeda, V. J. (2024). Computational Thinking the High School Level as a Strategy to Stimulate Female Vocational Interest in Engineering Careers. LACCEI, 1(10). https://doi.org/10.18687/LACCEI2024.1.1.935