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Complex Systems in a Complex Time: Two Flexible Activities Using Online Models To Study Infectious Disease

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This report details educational activities using COVID-19 to teach students about disease spread simulations and complex systems modeling with StarLogo Nova, enhancing data presentation skills.

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Area of Science:

  • Epidemiology
  • Computational Science
  • Educational Technology

Background:

  • The COVID-19 pandemic spurred widespread interest in infectious disease modeling.
  • Accurate projections of disease spread are crucial for public health responses.
  • Educational tools are needed to engage students with complex systems and data visualization.

Purpose of the Study:

  • To present two educational activities designed to leverage interest in COVID-19.
  • To encourage students in exploring disease spread simulations and data presentation.
  • To guide students in developing complex systems models using a block-based coding platform.

Main Methods:

  • Utilizing the COVID-19 pandemic as a relevant context for learning.
  • Implementing a block-based coding platform, StarLogo Nova, for model development.
  • Designing activities that can be used independently or sequentially to build knowledge.

Main Results:

  • Students can gain practical experience in creating and analyzing simulations.
  • The activities facilitate understanding of complex systems dynamics.
  • Enhanced student engagement with scientific concepts through interactive modeling.

Conclusions:

  • These activities offer an accessible entry point for students into computational modeling and epidemiology.
  • Leveraging timely global events like COVID-19 can effectively boost student interest in STEM subjects.
  • The StarLogo Nova platform provides a versatile tool for teaching complex systems concepts.