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CS in Science Module 3: Ecosystems as Complex Systems (for StarLogo Nova 2.0)

Posted July 27, 2018 by turtle

This Life Science module begins with an exploration of a simple predator-prey model to consider who eats whom—and what happens when one population grows faster than another. Students develop their own model of a local ecosystem and learn about ecosystem dynamics, producers and consumers, and interdependent relationships within an ecosystem. This module has been updated for StarLogo Nova 2.0 (HTML5/JavaScript version, updated 2017).

Code.org and SLNova Computer Science Concepts

Posted May 13, 2017 by kristico

This is a 4 week unit for a Computer Technology class in a middle school. Students are introduced to computer science concepts through lessons in Code.org's Course 3. Students then apply those concepts in SLNova projects.

Epidemiology for StarLogo TNG

Posted August 15, 2016 by turtle

How do diseases spread?  In this Project GUTS unit, students research contagious diseases and customize a computer model to explore how disease — or gossip, bullying or fashion— might spread within their school or neighborhood.

The primary goal of this unit is to engage students in simple interactive activities to explore epidemiology concepts, and in the use, modification, and creation of agent-based models to conduct experiments on simple contagion.

Pollution Unit for StarLogo TNG

Posted August 16, 2016 by turtle

What can we do about pollution in our town?  In this unit, students learn about pollution and the spread of contaminants from a point source. Some collect traffic data outside their schools and ask how many trees are needed at their school to maintain acceptable CO2 levels—even as traffic flow fluctuates and traffic jams form. With computer modeling, they investigate possibilities.

Social Networks for StarLogo TNG

Posted August 16, 2016 by turtle

How are people connected?  Humans are inherently social and have relationships far more complex than the random encounters often seen in agent-based modeling. These relationships can vary in strength and meaning – we see social networks that range from kinship networks, friendship networks to contact networks used in the study of epidemiology. The primary goal of this unit is to engage students in simple interactive activities to explore social network concepts and to model those concepts.

Water as a Shared Resource for StarLogo TNG

Posted August 16, 2016 by turtle

As the human population grows, it is becoming increasingly important to understand how humans affect the environment and to consider how we are using and managing our limited resources. This unit examines water as an important resource to be shared and managed to ensure its future availability.

This unit explores water as a shared resource using StarLogo TNG. For the related unit using StarLogo NOVA, see CS in Science Curriculum Module 2.

Climate Change Impacts on Water Resources in StarLogo TNG

Posted August 16, 2016 by turtle

What do we know about climate change? This unit discusses climate change: what it means, what the difference is between climate and weather, and evidence of climate change. It also discusses the global climate system as a complex system with feedback loops, and the current state of the art in the computational modeling of climate change. Our goal is to clarify what is known, what scientists guess is happening, and how climate change impacts our environment and species.

Opinion Dynamics with StarLogo TNG

Posted August 25, 2016 by turtle

Does Your Opinion Count? 
People form opinions on topics from current styles to political issues to product preferences, and often our opinions are based on information from others, rather than on our own experience. In this unit, we explore Opinion Dynamics as an aspect of human society that can be studied as a complex adaptive system. Here, agents representing humans can influence and be influenced by other agents both directly (one-on-one) and on a more global scale (advertising, etc).

Traffic Patterns for StarLogo TNG

Posted November 24, 2016 by turtle

Why do traffic jams form?

Each year the number of paved miles grows by roughly 20,000 miles. When traffic gets too congested, traffic engineers must consider changes to existing roads or intersections. This unit engages students in interactive activities to explore pattern formation in complex systems, and in the use, modification, and creation of agent-based models to conduct experiments on simple virtual traffic systems, to study whether proposed road changes will the desired effect.

Computational Science video

Posted June 2, 2017 by sgibbs

A short video (1:27) on the computational science cycle, used in Project GUTS CS in Science (Modules 2-4).

CS in Science Module 2: Shared Water Resources (StarLogo Nova 2.0)

Posted July 27, 2018 by turtle

In this Earth Science module, students will investigate the importance of ground water and the impacts of water usage on aquifer levels. They will also explore how to model important parts of the water cycle, including evaporation and infiltration of water into different types of soils to recharge the aquifers. This updated resource corresponds to StarLogo Nova 2.0 (HTML5/JavaScript version), a modeling and simulation environment developed at the Massachusetts Institute of Technology.

Interview with Hal Scheintaub

Posted August 2, 2017 by ilee

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

Exploring the Wiggle Walk and Collisions via a Kinesthetic Activity

Posted August 4, 2017 by jhenderson

This activity teaches the Wiggle Walk blocks (random right by ___ degrees, random left by___ degrees), through a kinesthetic activity and explores when a programmer would want to code agents to move this way. It avoids the statical analysis of the random probabilities found in Module One, Lesson 4 Activity 1: Probability with Dice and Data and Colliding Turtles, while still addressing the end goals of the Module One Lesson 4.

Middle School Dissolving Salt Chemistry Module options

Posted August 4, 2017 by mmarkham

This lesson was developed to be used with two stand alone models developed by GUTS as alternatives to the Chemistry Module 4. This is aimed at middle school students. This pairs a hands on lab activity with the CS models to explore the strengths and weaknesses of CS models of physical changes at an introduction to chemistry level. Students decode the models and make changes including adding and testing variables.

Emergence video

Posted July 27, 2018 by sgibbs

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.

CS in Science Module 4: Chemical Reactions (for StarLogo Nova 2.0)

Posted July 27, 2018 by turtle

This Physical Science module explores chemical reactions: the conditions under which they occur, the evidence that a chemical reaction has taken place, limiting reactants versus reactants in excess, and when chemical reactions stop. The base model for this unit simulates the chemical reaction between silver nitrate and copper. The pacing guide and models have been updated for StarLogo Nova 2.0 (HTML5/JavaScript version).

The Greenhouse Effect

Posted July 27, 2018 by sgibbs

A short video on the basics of the greenhouse effect, used in CS in Science, Module 2 (Greenhouse gas model).

Silver Nitrate Production video

Posted July 27, 2018 by sgibbs

A short video showing "Silver Production from Silver Nitrate using a Copper Pipe" - used if wet lab activity not available for CS in Science Module 4 (Chemical Reactions)

Emergency Egress for StarLogo TNG

Posted August 15, 2016 by turtle

In the case of fire, how do we plan for safe exit? After learning how a fire marshall evaluates buildings for safety, students model how people would exit a building in the event of an emergency. Are more exits needed? Can everyone get out safely? This unit engages students in interactive activities to explore human behavior during emergencies and egress concepts, and in the use, modification, and creation of agent-based models to conduct experiments on simple emergency egress situations.

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