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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.

Pixelated Paths

Posted August 30, 2016 by turtle

An off-line activity similar to Trailblazers, where students are introduced to conditional logic by creating and following maze-like paths.  There is an associated coding activity in both StarLogo TNG and StarLogo Nova called "Bumper Turtles."

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.

Science of Friendship

Posted August 16, 2016 by turtle

Why do humans help some people and not others?  This Project GUTS unit explores this question and allows students to test their own assumptions. Using methods and data from anthropology, sociology and psychology and computer modeling in NetLogo, students investigate the role of cooperation in human interactions—and how cooperation plays a role in global issues such as resource management, health equity and climate change.

Lightbot and StarLogo NOVA

Posted August 25, 2016 by turtle

This on-line activity asks students to complete the first 8 exercises of the popular "Lightbot" program within the Hour of Code activities. Then, students try to recreate a similar program in StarLogo Nova, where an unfamiliar user could use keyboard controls, widgets, or procedures to get the robot to follow a pattern. It practices several computing skills (procedures, loops) and conveys the idea that games students see and play on-line have been created and coded by someone.

Swords and Shields

Posted August 25, 2016 by turtle

Swords and Shields is an interactive simulation game which teaches students some of the basic ideas of complex adaptive systems. After playing, you can show the students a model of the game in StarLogo TNG or StarLogo Nova to discuss basic concepts of agent-based modeling. Try it, it's fun! See also the variation to this activity in Resources, and see the related activity of TryAngles.

Getting Loopy

Posted August 30, 2016 by turtle

This off-line activity reviews the different types of loops in a fun and active way!

Human Boolean activity

Posted August 30, 2016 by turtle

Human Boolean and George Boole Says are similar off-line group activities in which students learn about Boolean logic. Students come up with a set of characteristics that describe all students in the class then use Boolean operations to uniquely identify classmates. These activities have a corresponding StarLogo TNG model and instruction set.

Rock Paper Scissors

Posted August 30, 2016 by turtle

The classic game of Rock Paper Scissors is known to all students. This common experience can then be used to encourage students to think about Complex Adaptive Systems in terms of unpredictability, which comes from the simple rules of agents. The off-line activity gives students a set of rules that will then be programmed into their computer model using Boolean logic and collisions.

TryAngles

Posted August 30, 2016 by turtle

Students participate in an off-line activity called “TryAngles”, and see a computer model based on the same activity. Of particular interest is the interleaving of activity types; live off-line activities and computer simulations, and the juxtaposition of real and virtual worlds.

What are the chances?

Posted March 30, 2017 by turtle

An off-line activity to introduce students to concepts of randomness and how to program percent chance using a slider in StarLogo Nova.

27 Blind Mice

Posted August 31, 2016 by turtle

An off-line activity that introduces the concept of global and local communication strategies.

Penny Growth

Posted August 31, 2016 by turtle

Penny growth is a table-top hands-on activity in which students grow penny colonies based on simple rules. Through this activity and a corresponding computer model, students gain experience with modeling population growth, plotting data, and recognizing patterns. Different sized environments can be used to prompt a discussion of limits to growth fo the colonies.

Peanut Butter & Jelly Robot

Posted September 1, 2016 by turtle

This activity introduces students to several computer science concepts, to the necessity for thoroughness while programming, and to the often strange results of literalism. The overarching theme is that computers do what they are told and nothing more. The ability to read between the lines and determine what was meant rather than what was said is a skill computers lack. Additionally, students are introduced to the concept of debugging.

Battle of the Agents

Posted March 29, 2017 by turtle

A take on the classic board game Battleship, this paper and pencil activity is a fun way to help students understand the use of x and y coordinates in StarLogo Nova. After the activity, students can use the StarLogo Nova model to experiment with x and y locations in a game-like context.

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).

Opinion Dynamics for StarLogo Nova

Posted July 29, 2016 by turtle

This unit explores Opinion Dynamics as an aspect of human society that can be studied as a complex adaptive system. In modeling opinion formation and dynamics, agents representing humans can influence and be influenced by other agents locally through one-on-one interactions. It could be modified to model global influences (like media).

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