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Locating the Epicenter of an Earthquake Lesson

Posted February 28, 2020 by wellina

Identify the location of an earthquake epicenter using a travel time graph and three seismograph tracings. The epicenter is the point on Earth's surface directly above an earthquake. Seismic stations detect earthquakes by the tracings made on seismographs. Tracings made at three separate seismic stations are needed to locate an earthquake epicenter.

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.

Skill Building Deck

Posted June 12, 2019 by ilee

A slide deck of exercises to build CS and decoding skills

Code Blocks for CS in Science Module 4 (Chemical Reactions)

Posted October 27, 2018 by sgibbs

Use this document while decoding the base model in CS in Science, Module 4: Chemical Reactions.
Select the relevant link below, depending on whether you are using StarLogo Nova 1.0 (flash version) or StarLogo Nova 2.0(HTML5/JavaScript version).

Sample rubric for ecosystem module

Posted August 4, 2018 by sgibbs

This rubric was previously posted on the Code.org site and many teachers have found it to be helpful. You can save a copy and modify as fits your curriculum.

Cookbook for Common Codes for StarLogo Nova 1.0 and StarLogo Nova 2.0

Posted July 27, 2018 by turtle

The links below include explanations and screen shots for common codes in both versions of StarLogo Nova, including setting up the world, creating and renaming breeds, using default traits and creating custom traits, random and wiggle walks, coordinates and using 3-D view, using keyboard controls, using widgets including sliders, data boxes, charts and line graphs, terrain color, using collisions, creating a stop code, and teaching agents to chase or run away from other agents.

CS in Science: Module 1 Additional Resources

Posted July 27, 2018 by turtle

Ready to implement? Here are some additional resources and links to other Teachers with GUTS pages to help you with CS in Science, Module 1 (Introduction to Computer Modeling and Simulation). Some of the resources refer specifically to StarLogo Nova 1.0 (teacher videos) and others to StarLogo Nova 2.0 (link to models gallery). Check the relevant page for CS in Science Module 1 for the version of StarLogo Nova you are using.

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).

Math Basics for StarLogo Nova

Posted July 27, 2018 by turtle

This handout explains left and right degrees, x and y coordinates, and headings in StarLogo Nova.

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

Debugging Challenges for StarLogo Nova

Posted July 27, 2018 by turtle

These challenges ask students to identify and correct common coding errors within StarLogo Nova programs. The first challenge is generic, all others relate to the content area module from CS in Science. Students like to solve the problems and fix the code, and learn about debugging skills while engaging further with content area modules. It is also a good review for instructions/facilitators before building code with students.

Coding Challenges

Posted July 27, 2018 by turtle

Coding Challenge are a series of short challenges that focus on improving coding skills using StarLogo Nova. Each set of challenges focuses on a specific concept: degrees & heading, x & y coordinates and randomness, conditions including absolute value and percent chance, adding color to the terrain and repeat loops, using the z coordinate, and other computer science concepts (logic blocks, data collection),.

Walk & Turn for StarLogo Nova

Posted July 27, 2018 by turtle

This is the CS in Science, Module 1, Activity 1 activity. Students participate in an activity acting as agents, then view a computer model, to introduce concepts of computer science and complex adaptive systems.

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.

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