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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.

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.

Geometry

Posted May 11, 2021 by sgibbs

A 7th grade math project testing students' ability to create geometric figures.Stude

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)

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.

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 5: Greenhouse Gases

Posted July 27, 2018 by turtle

This Earth Science module explores greenhouse gases and climate change. The global climate system is presented as a complex system with feedback loops and interconnected processes. The goal is to clarify what is known, what scientists believe is happening and how climate change impacts our environment and species. Students use, modify, and customize an agent-based model of the build-up of greenhouse gases and its impact on the climate. This is an alternative to the Module 2: Water Resources

Pair Programming video

Posted July 27, 2018 by turtle

This short video (2:51 minutes) features two middle school girls describing and practicing pair programming. It is a great introduction to this method of learning programming and creating models.

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.

Complex Adaptive Systems Modeling Video

Posted July 27, 2018 by turtle

This short video (3:13 minutes) introduces complex adaptive systems and agent-based modeling concepts to middle-school students. It shows beautiful footage of birds flocking as an example of a complex adaptive system.

Skill Building Deck

Posted June 12, 2019 by ilee

A slide deck of exercises to build CS and decoding skills

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.

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.

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.

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.

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.

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