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Computer Science Kickstart: An Innovative Bootcamp to Ignite Passion in First-Year Female-Identifying University Students

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Published:15 March 2024Publication History

ABSTRACT

The UC Berkeley CS Kickstart initiative represents a novel approach in addressing the underrepresentation of women in the tech industry. This paper evaluates the efficacy of its one-week intensive curriculum in computer science, particularly focusing on first-year female-identifying university students. The 2023 program cohort witnessed the introduction of a dual-track system, accommodating both beginners and students with prior experience. This study emphasizes the findings from enhanced survey methods and involved detailed pre-program and post-program assessments that gauged the initiative's success in imparting foundational knowledge and fostering enthusiasm in computer science. The findings reveal that such targeted, short-term educational programs significantly contribute to advancing diversity and inclusion in computer science education. The results suggest that early intervention at the university level can play a pivotal role in shaping a more diverse future in the tech landscape.

References

  1. Nguyen, A. & Lewis, C. M. 2020. Competitive Enrollment Policies in Computing Departments Negatively Predict First-Year Students' Sense of Belonging, Self-Efficacy, and Perception of Department.Google ScholarGoogle Scholar
  2. Lewis, C. M., Bruno, P., Raygoza, J., & Wang, J. 2019. Alignment of Goals and Perceptions of Computing Predicts Students' Sense of Belonging in Computing. International Computing Education Research (ICER) Conference. 11--19.Google ScholarGoogle Scholar

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  1. Computer Science Kickstart: An Innovative Bootcamp to Ignite Passion in First-Year Female-Identifying University Students

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        • Published in

          cover image ACM Conferences
          SIGCSE 2024: Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2
          March 2024
          2007 pages
          ISBN:9798400704246
          DOI:10.1145/3626253

          Copyright © 2024 Owner/Author

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 15 March 2024

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