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Looking at particles with StarLogo Nova

Posted May 13, 2021 by sgibbs

This lesson uses StarLogo Nova to explore how particles move from gas to liquid to solid depending on the setting of the heat slider.

Segregation Model

Posted April 3, 2017 by turtle

This model shows how a small preference for looking like one's neighbors can lead to a segregated society. The unit so far includes the model as a mystery model to be discussed and decoded by students, a partial piece of code with to use for decoding practice, a finished model, some background information, and a link to an on-line resource demonstrating these concepts. We are developing an off-line activity and other curriculum for this module -- stay tuned!

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.

Archived Material: CS in Science Module 4 Chemical Reactions for StarLogo Nova 1.0 (Flash version)

Posted December 2, 2016 by turtle

Archived Material: CS in Science Module 4: Chemical Reactions for StarLogo Nova 1.0 (Flash version, updated 2015). 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.

El Juego de la pesca (La Tragedia de los Comunes)

Posted March 29, 2017 by Rizzi

El Juego de la Pesca utiliza el concepto de Tragedia de los Comunes (Hardin, 1968) para trabajar sobre sustentabilidad. El jugador (pescador) tiene 10 días para atrapar tantos peces como pueda para alimentar a su familia. Cada día, el pescador puede elegir pescar uno, dos o tres peces, o no pescar ninguno. Hay otros dos pescadores que también tratan de capturar tantos peces como puedan. El lago en el que se pesca sólo puede soportar 20 peces (que es la capacidad de carga del lago).

Dengue outbreak simulation

Posted March 29, 2017 by Rizzi

This model simulates the transmission of the dengue virus in a neighborhood of four blocks during 180 (one hundred and eighty) days. The vector of the virus is the mosquito Aedes egyptii. The simulation shows a chart of the evolution of the outbreak (the change in the number of healthy people and infected people), another graph with the evolution of the mosquito population and some monitors that indicate the state of the mosquito population and how many people were infected.

Simulación de un brote de Dengue

Posted March 29, 2017 by Rizzi

Este modelo simula la transmisión del virus del dengue en un barrio de cuatro manzanas durante 180 días. El vector del virus es el mosquito Aedes egyptii. La simulación muestra un gráfico con la evolución del brote (el cambio en la cantidad de personas sanas y de personas infectadas), otro gráfico con la evolución de la población de mosquitos y unos monitores que indican el estado de la población de mosquitos y cuántas personas fueron infectadas.

Prisoner's Dilemma (Tit for Tat)

Posted March 30, 2017 by turtle

A participatory simulation where partners examine strategies of cooperation versus individual gain. Based on the game theory activity of Prisoner's Dilemma, this activity introduces students to the contrast between theories of "Tragedy of the Commons" (individuals maximizing their own gain will result in collapse of the resources) and classic economic theory (maximum individual gain will lead to greatest efficiency).

Toss-Up

Posted March 30, 2017 by turtle

As a virus spreads through a community, epidemiologists might study how far a disease has spread, how quickly it spreads and how infectious it can be as well a numerous other pieces of data in order to understand the disease and its potential impact on a community. In this activity, students will simulate the spread of a virus such as the flu. Students will work in pairs to accumulate data using graph paper, a data chart, and a die. Before starting, groups will need to decide on three variables.

Traffic Unit for StarLogo Nova

Posted April 28, 2017 by sgibbs

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.

What's Represented?

Posted June 12, 2019 by ilee

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

Littering Unit

Posted April 29, 2017 by sgibbs

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.

Emergency Egress

Posted May 8, 2017 by turtle

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.

Shared Resources - Economics

Posted May 10, 2017 by turtle

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.

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.

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).

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)

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).

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