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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.

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.

Code Blocks for CS in Science Module 2 (Water Resources)

Posted July 27, 2018 by sgibbs

This blocks guide can help students decode the base model used in Module 2 -- Water Resources. The links below correspond to either StarLogo Nova 1.0 (Flash version) or StarLogo Nova 2.0 (HTML5/JavaScript version).

Code Blocks for CS in Science Module 5 (Greenhouse Gases)

Posted July 27, 2018 by sgibbs

A guide for students when decoding the Greenhouse Gases model for CS in Science (Module 5). The links below correspond to this model as created in StarLogo Nova 1.0 (Flash version) or StarLogo Nova 2.0 (HTML5/JavaScript version).

Guides, Common Forms, and Activity Sheets for CS in Science Modules

Posted July 27, 2018 by turtle

This 56-page pdf includes printable copies of the Student Activity Guides, Common Forms, Blocks Guides, CS Concepts, and Progress Monitors for Modules 1-4 of CS in Science. This version was created in 2015, for StarLogo Nova 1.0. If using StarLogo Nova 2.0, search for the Blocks guides attached to each module.

Dice and Data (see also CS in Science, Module 1)

Posted July 27, 2018 by turtle

Dice and data is a hands-on activity in which students learn about probability and how probability is used in modeling and simulation. Students first investigate single dice rolls and connect the results to randomness, then students investigate two die rolls and learn how the results of two-die rolls are used to mimic animal movement in a wiggle walk.

Introduction to Climate Modeling

Posted July 27, 2018 by sgibbs

This document gives background information for students to use with CS in Science Module 5 (Greenhouse Gas).

Papercatchers

Posted July 27, 2018 by turtle

Papercatchers is a participatory simulation in which students learn about population growth and limits to growth. Students play the role of members of a growing population, follow simple rules governing survival and reproduction, and collect and graph data.

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),.

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.

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).

What's Represented?

Posted June 12, 2019 by ilee

These exercises ask the learner to identify abstractions in the computer model as compared to a diagram or image of a natural phenomenon.

Skill Building Deck

Posted June 12, 2019 by ilee

A slide deck of exercises to build CS and decoding skills

COVID-19 Modelling Challenge

Posted March 18, 2020 by wellina

Learn basic StarLogo Nova skills then use those skills to customize your model to reflect how Coronavirus spreads. To that model, you can add different strategies and study the impact of the strategies on containing COVID-19’s spread.

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