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Updated: Aug 15, 2025

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SCIP: a self-paced, community-based summer coding program creates community and increases coding confidence, lessons

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The Science Coding Immersion Program (SCIP) provided students with valuable computational skills and community during the COVID-19 pandemic. Participants reported increased coding confidence and satisfaction with the online learning experience.

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Area of Science:

  • Computational skills education
  • Online learning environments
  • Pandemic-era education

Background:

  • COVID-19 pandemic disrupted traditional summer opportunities for students.
  • Increased isolation necessitated online community building and skill development.
  • Existing literature and experience informed program design.

Purpose of the Study:

  • To design, implement, and evaluate an online program for students to learn computational skills.
  • To foster a sense of community among students participating remotely.
  • To address the challenges posed by the pandemic on student learning and social connection.

Main Methods:

  • The Science Coding Immersion Program (SCIP) was developed, utilizing online R or Python classes.
  • Students worked in small, self-paced teams with Slack support and a rotating team leader/Zoom host.
  • Weekly webinars with guest speakers provided motivation and career advice.

Main Results:

  • A large and diverse group of students participated in the program.
  • Participants reported high satisfaction, found community within their teams, and increased coding confidence.
  • Pre- and post-program surveys indicated positive impacts of the program's various components.

Conclusions:

  • The SCIP model effectively supported students in developing computational skills and building community online.
  • The program successfully addressed the isolation and lack of opportunities caused by the pandemic.
  • The findings suggest SCIP can serve as a model for future online educational initiatives.