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Natural Selection Prey and Predator

This post includes a link to a model that can be used with the OpenSciEd Bacteria Food Hunt Unit net logo simulation.

Gene Regulation and Protein Synthesis

Every cell in your body has a full set of genes, or ‘recipes,’ to build many different kinds of proteins (including enzymes). What causes a gene to go from its normal ‘turned off’ state (when it IS NOT building proteins) to its ‘turned on’ state (when it IS building proteins)? To answer this question, we will zoom in and take a closer look at a gene and its environment to see how and why a specific protein is made.

Image from Project GUTS instructions showing grid

Battleship activity in StarLogo Nova

This activity uses the idea of the classic "battleship" game to review x and y coordinates in StarLogo Nova. Students do a pen and paper simulation of the game, and then use a base model in StarLogo Nova to review the coordinates.

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

Archived Material: CS in Science Module 3 - Ecosystems as complex systems (for StarLogo Nova 1.0)

Archived Material: CS in Science Module 3 (for StarLogo Nova 1.0, Flash version updated 2015). 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.

image of battleship by https://www.vectorstock.com

Battle of the Agents

A take on the classic board game Battleship, this paper and pencil activity is a fun way to help students understand the use of x and y coordinates in StarLogo Nova. After the activity, students can use the StarLogo Nova model to experiment with x and y locations in a game-like context.

Image of slider from www.thenounproject.com

What are the chances?

An off-line activity to introduce students to concepts of randomness and how to program percent chance using a slider in StarLogo Nova.

Pond Ecosystem Biograph project

Ecosystems are made up of interacting, interdependent parts, which are always interacting with and changing each other. Healthy ecosystems are long-lasting. In a long-lasting ecosystem the number of plants and animals may increase and decrease over time, but there are always enough individuals to reproduce and establish the next generation. In this Biograph Virtual Lab your challenge is to build a model of a long-lasting, healthy pond ecosystem using Toolblox programming blocks.

Image of evolution from thenounproject.com

Evolution Curriculum from BioGraph

Evolution is a change in genetic information in a population that is observed over many generations, due to the random chance survival and reproduction of particular individuals. In this BioGraph Virtual Lab, you will observe how a population of fish in a pond changes over time. By the end of this activity, you will understand how random factors (genetic drift) and non-random factors (natural selection) contribute to evolution.

Enzymes: Chew on This!

Carbohydrates in food are an important source of energy for the body. When you eat starch, it must be broken down into simple sugars before your body can use it for energy. In this Biograph Virtual Lab you will use a simulation to explore the breaking down of starch into sugar. The simulation will enable you to compare and contrast the conversion of starch to sugar both with and without enzymes. This will help you understand the role of enzymes in digestion.

Image of sugar moving into bloodstream from MIT Biograph materials

Sugar Transport Activity

Have you ever drank a can of soda and suddenly felt more energetic? In this Biograph Virtual Lab, you will use a simulation to explore how the glucose molecules from the soda move from the lumen of your small intestine, across the membranes of your epithelial cells, and into your bloodstream. (Ultimately, the glucose in your bloodstream will move into your body’s cells).

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.

Maze

Students struggle understanding proportional relationships and scaling shapes. This module allows students to scale one shape and transfer it to 3 different environments. Students will create a game online (SL Nova) and program a Sphero (robot) while learning the math standards.

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.

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).

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 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).

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),.

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