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Natural Selection Prey and Predator

Posted May 14, 2021 by sgibbs

This post includes a link to a model that can be used with the OpenSciEd Bacteria Food Hunt Unit net logo simulation.

Natural Selection Programming

Posted May 11, 2021 by sgibbs

A lesson for middle school science that uses a variation of the rabbits and grass program to explore concepts of natural selection.

DECODE NYC Virtual Lesson Plan - MODIFYING A MODEL: OMNIVOROUS FOXES

Posted January 27, 2021 by wellina

This remote lesson serves as an opportunity for students to modify the code of an agent-based model to reflect the complexity of real-world food webs. Students will evaluate theeffectiveness of the modifications based on their understanding of population dynamics.

Decode NYC Models

Posted January 13, 2021 by wellina

In the NSF-funded DecodeNYC program at the American Museum of Natural History, middle school students use the agent-based game and simulation programming environment StarLogo Nova to use, modify, decode, and create scientific models to test different strategies for fighting Lyme disease and answer questions about their urban ecosystem.

Module 3 Lesson 4 - Create Your Own Ecosystem Model

Posted February 10, 2020 by wellina

In this lesson, students will design their own ecosystems projects consisting of a question, experimental design and model. In the first activity, students will learn about the computational science cycle and use it to scope their project. This leads to a second activity where they start designing and implementing their model.

Module 3 Lesson 3 - Adding a Predator

Posted February 10, 2020 by wellina

In this lesson, students will modify the Rabbits and Grass model by adding a predator, a Mountain Lion, to answer a new question: “Does adding a top predator increase or decrease the stability of an ecosystem?” In the second activity, students will design and run experiments to see if adding a predator has an impact on the ecosystem. This activity will reinforce the concepts of energy flow through ecosystems and the often unexpected results of interactions in complex adaptive systems.

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.

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