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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.

CS in Science Module 1: Introduction to Computer Modeling and Simulation (StarLogo Nova 2.0)

Posted July 27, 2018 by turtle

Module 1 introduces basic concepts in modeling complex systems through hands-on activities and participatory simulations. A scaffolded series of highly-engaging design and build activities guide students through developing their first computer model in StarLogo Nova 2.0, a modeling and simulation environment developed at the Massachusetts Institute of Technology.

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).

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.

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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