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The Giraffe and the Platypus

This is an activity that allows teachers in a workshop to experience and explore the equity issue involved in differences in background knowledge of students.

An Example of CT in the Workplace

This is an example of how a computer modeler uses various aspect of computational thinking while designing, creating and using a computer model as a tool to think with.

Carbohydrates in food are an important source of energy for the body. When you eat starch, it must be broken down into simple sugars before your body can use it for energy. In this Biograph Virtual Lab you will use a simulation to explore the breaking down of starch into sugar. The simulation will enable you to compare and contrast the conversion of starch to sugar both with and without enzymes. This will help you understand the role of enzymes in digestion.

Gene Regulation and Protein Synthesis

Every cell in your body has a full set of genes, or ‘recipes,’ to build many different kinds of proteins (including enzymes). What causes a gene to go from its normal ‘turned off’ state (when it IS NOT building proteins) to its ‘turned on’ state (when it IS building proteins)? To answer this question, we will zoom in and take a closer look at a gene and its environment to see how and why a specific protein is made.

Image of sugar moving into bloodstream from MIT Biograph materials

Sugar Transport Activity

Have you ever drank a can of soda and suddenly felt more energetic? In this Biograph Virtual Lab, you will use a simulation to explore how the glucose molecules from the soda move from the lumen of your small intestine, across the membranes of your epithelial cells, and into your bloodstream. (Ultimately, the glucose in your bloodstream will move into your body’s cells).

Traffic Unit for StarLogo Nova

This unit engages students in the use of agent-based modeling to look into why we have traffic jams and test ideas to try to improve traffic flow, and demonstrates the use of simulation to solve difficult engineering problems. Specifically we focus on the problem of traffic bottleneck congestion. A secondary goal is to further students’ understanding of the network concept as a way to model real world flows of data and matter.

Urban street covered with litter, from Project GUTS powerpoint

Littering Unit

Littering is a type of non-point source pollution caused  by humans acting independently from each other, however causing a global environmental problem. Controlling this source of pollution is hard to manage despite numerous interventions. Pollution of groundwater, rivers, oceans result from these everyday littering behavior whether intentional or accidental. In this unit we will model a simple form of littering and then ways to reduce it in our community.

Photo of Love Parade stampede in Germany, 2010, from www.telegraph.co.uk

Emergency Egress

Emergency Egress is the study of people exiting a building or other social gathering space in an emergency situation. This unit explores models and other ways to analyze the safety of a building and to evaluate which elements may affect how quickly and safely a space may be evacuated. It also discusses the issues of modeling humans in emergency situations.

Painting, "Children's Games" by Pieter Bruegel the Elder

Shared Resources - Economics

As the human population grows, it has become increasingly important to understand how humans are impacting the environment and how resources are managed and used. Often, this type of understanding falls under the topic of Sustainability in which the needs of the present population are met without compromising the needs of future generations. In this unit, we look at a variety of resources, through the lens of complex adaptive systems, especially studying feedback and interdependence.

Crosswalks

These documents are crosswalks between the National Research Council's Framework for K-12 Science Education and CSTA K-12 Computer Science Standards. They are designed to show the relationship between modeling and simulation and the scientific practices elucidated in the Standards.

Ecosystems as Complex Adaptive Systems

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

Feedback loops

This document provides background information on feedback loops in complex adaptive systems.

Why Model?

A paper describing the author's reasons why modeling is essential to science.

Guía de referencia de bloques de StarLogo NOVA

Se trata de una guía que describe los bloques de comandos más comunes utilizados en StarLogo NOVA en el curso MOOC de Project GUTS en español. Están agrupados según el módulo en que se utilizan.

Guía de conceptos de ciencias de la computación

Se trata de una guía que describe varios conceptos de ciencias de la computación agrupados por categorías como eventos, instrucciones y programas, iteraciones, etc.
Explica y ejemplifica diferentes conceptos como por ejemplo: ¿Qué es un bucle o loop?

Bloques de código para modelo de cambio climático

Es una hoja de referencia con los bloques de código necesarios para el modelo de cambio climático. Se explica bloque por bloque qué función cumple cada estructura en cada pestaña de la programación con StarLogo NOVA.

Tips for teaching decoding

Some techniques to introduce students to the process of decoding a model.

Line graphs in StarLogo Nova

A brief summary of how to decode a line graph in StarLogo Nova.

Screen shot from Project GUTS rabbits and grass model

Modeling Ecosystems in StarLogo Nova

This document gives background information and is a guide to CS in Science, Module 3 (Ecosystems) and building the rabbits and grass model.

Image of evolution from thenounproject.com

Evolution Curriculum from BioGraph

Evolution is a change in genetic information in a population that is observed over many generations, due to the random chance survival and reproduction of particular individuals. In this BioGraph Virtual Lab, you will observe how a population of fish in a pond changes over time. By the end of this activity, you will understand how random factors (genetic drift) and non-random factors (natural selection) contribute to evolution.

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