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MSM Unit 1: Things Break Apart

This is the page for Making Sense of Models Unit 1: Things Break Apart.

Decode NYC Models

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.

Skill Building Deck

A slide deck of exercises to build CS and decoding skills

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

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

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.

Progress Monitors for CS in Science Modules (coding activities)

Progress Monitors are meant to be guides for students, giving goals for the model but not providing specific coding instructions.

Coding Challenges

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),.

Diagram of x and y coordinates in StarLogo Nova

Math Basics for StarLogo Nova

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

Cover page for CS in Science Module 3 Instructor's Manual

CS in Science Module 3: Ecosystems as Complex Systems (for StarLogo Nova 2.0)

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).

StarLogo Nova 2.0 galleries for CS in Science modules

These links create a shortcut to find the StarLogo Nova 2.0 gallery for each module in CS in Science. For StarLogo Nova 1.0 galleries, go to flash.starlogonova.org.

CS in Science Module 4: Chemical Reactions (for StarLogo Nova 2.0)

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).

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

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.

Code Blocks for CS in Science Module 3 - Rabbits and Grass Ecosystems Model

This is a worksheet to use while decoding the Rabbits and Grass Ecosystems Model - CS in Science, Module 3. Select the relevant link below, for StarLogo Nova 1.0 (flash version) or StarLogo Nova 2.0 (HTML5/JavaScript version).

CS in Science Curriculum (binder) compatible with StarLogo Nova 2.0

This is the pdf of the complete CS in Science curriculum. Print copies can be ordered from Mimeo.

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Opinion Dynamics for StarLogo Nova

This unit explores Opinion Dynamics as an aspect of human society that can be studied as a complex adaptive system. In modeling opinion formation and dynamics, agents representing humans can influence and be influenced by other agents locally through one-on-one interactions. It could be modified to model global influences (like media).

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