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Biology+C – Genetics: Phenotypes and Genotypes

This unit focuses on genetics and how the allele frequency in a population can change over time.

Biology+C – Natural Selection and Evolution: Natural Selection in Moths

This unit reviews concepts related to natural selection and Darwin’s theory of evolution. It provides students with the opportunity to gain a deeper understanding of the process of natural selection and how it can be represented and demonstrated using computer models.

Biology+C – Homeostasis: Maintaining Glucose Levels in Blood

This unit reviews concepts related to feedback loops for maintaining homeostasis in the human
body.

Biology+C – Simple Ecosystems: Energy Flow in an Ecosystem

This unit models a simple ecosystem to provide students with the opportunity to gain a deeper understanding of the interactions of organisms in ecosystems such as the flow of energy between trophic levels.

Biology+C – Enzymes: Food Digestion

The unit provides students with the opportunity to gain a deeper understanding of process and how they can be represented and demonstrated using computer models.

Biology+C – Ecosystem Dynamics: Balancing an Ecosystem

In this unit, students will apply concepts related to ecosystems, such as interdependent relationships, to run various experiments in the NetLogo model.

Science+C Intro Unit: Epidemics

This unit introduces students to using models as scientific testbeds, the NetLogo interface, and the basics of the model code by exploring how disease spreads through a population.

Biology+C – Experimenting with Photosynthesis

Photosynthesis is a dynamic process through which plants turn carbon dioxide and water into carbohydrates such as glucose while releasing oxygen as a byproduct.

Facilitator Resources (2023)

The following resources are created by Project GUTS facilitators to help prepare for 2023 GUTS workshops

StarLogo NOVA 2.0: ¿Qué cambió y qué es lo nuevo?

Spanish version of "SLNOVA 2.0: WHAT'S CHANGED OR NEW".

Versión en español del documento "SLNOVA 2.0: WHAT'S CHANGED OR NEW" con la comparación entre ambas versiones y el detalle de las nuevas funcionalidades de SLNOVA 2.0

Modeling MRSA in Chicago (scientist talk)

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

Ecosystems as Complex Adaptive Systems

Background information on ecosystems for teachers' use in CS in Science, Module 3 (Ecosystems)

Interview with Hal Scheintaub

Teachers with GUTS interviewed Hal Scheintaub and demo of StarLogo Nova models created by his students on August 2, 2017.

Facilitator Resources (from 2019)

This is a set of resources to help Facilitators prepare for Workshops.

Tips for Facilitators

Suggestions on best practices for teaching Project GUTS lessons, by acting as a facilitator to student learning, rather than a lecturer on your known content.

CS in Science Agenda for 5 day workshop

This is an agenda for facilitators to use in planning a five-day CS in Science workshop.

Project GUTS teacher & facilitator guides

These guides are aimed at helping teachers or workshop facilitators help their students or participants be independent learners while working with computer models. They are a work in progress - final versions will be uploaded soon. Please feel free to point out any corrections or additions in a discussion thread -- Thanks!

Emergence video

A portion of a PBS NOVA video discussing the concept of emergence (or complex adaptive systems) where patterns emerge in nature where agents follow simple rules.

What's Represented?

These exercises ask the learner to identify abstractions in the computer model as compared to a diagram or image of a natural phenomenon.

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.