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TrailBlazer Board Game Tester

This is NetLogo model to test the solutions when participants paint the board.

ModelBEST Module 1 - Introduction to Modeling and Simulation

The 1st module from Model BEST. Intended for 4th and 5th grade.

Papeles en el viento ("Papercatchers")

"Papeles en el viento" (Papercatchers) es una simulación participativa en la que los estudiantes aprenden sobre el crecimiento de la población y los límites al crecimiento. Los estudiantes desempeñan el papel de miembros de una población creciente, siguen reglas sencillas que rigen la supervivencia y la reproducción, y recopilan y grafican datos.

Tiburón en medio de un cardumen de peces en el fondo del océano

¿Complejo o complicado?

¿Complejo o Complicado? utiliza una presentación de diapositivas para crear una actividad que se utiliza para involucrar a los estudiantes en argumentar basándose en evidencias y mejorar su comprensión sobre los sistemas adaptativos complejos.

Modeling MRSA in Chicago (scientist talk)

This is a talk Dr. Chick Macal gave to GUTS teachers at a Chicago PD workshop in 2015.

Getting Unstuck: Karen Brennan's "8 for 8"

This 8:13 minute video gives techniques for facilitating classrooms of students who are working on projects.

Scientific Practices and Computational Thinking in Modeling & Simulation

This document is a handout used to reflect on the scientific practices and computational thinking involved in a Project GUTS module or lesson.

CS in Science videos -Link to Playlists for each Module and CS resources

This link will take you to the playlist for the Project GUTS/CS in Science youtube channel, where videos for each module and for teaching and StarLogo Nova tips are organized.

Skill Building Deck

A slide deck of exercises to build CS and decoding skills

Trailblazers Activity for Virtual Instruction

The Trailblazers activity from Module 1 - Lesson 3 modified to be done in a synchronous virtual learning environment.

DECODE NYC Virtual Lesson Plan - MODIFYING A MODEL: OMNIVOROUS FOXES

This remote lesson serves as an opportunity for students to modify the code of an agent-based model to reflect the complexity of real-world food webs. Students will evaluate theeffectiveness of the modifications based on their understanding of population dynamics.