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

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.