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Teaching Tip - How to organize and share student work

Tips on how to set up a folder so students can share their work in an online gallery of sorts.

Introduction to Computational Science

This video was produced by Project GUTS and Code.org to introduce computational science.

What are the chances?

This activity to explore randomness and how to program percent chance in StarLogo Nova.

Random Walks with code blocks for StarLogo Nova

Modeling the movement of agents (people,molecules, cars or ideas) is an important part of modeling systems. Different agents will have varying amount of randomness in their “walks” which can have an impact on systems. In this activity, students will apply the concept of randomness to a simple StarLogo program in which the agents will use ‘random’ blocks to ‘wiggle’ as they move around SpaceLand. This programming activity follows the ‘What are the Chances?" activity.

Rock Paper Scissors

The classic game of Rock Paper Scissors is known to all students. This common experience can then be used to encourage students to think about Complex Adaptive Systems in terms of unpredictability, which comes from the simple rules of agents. The off-line activity gives students a set of rules that will then be programmed into their computer model using Boolean logic and collisions.

Bumper Turtles for StarLogo TNG

A coding activity to introduce students to conditional logic -- this version follows the "Pixelated Paths" activity and builds the model in Star Logo TNG. 

Math Challenges in StarLogo TNG

This activity reviews the use of angles, heading, x, y, and z coordinates, and random ranges in StarLogo TNG. It corresponds to the coding challenges for StarLogo Nova (see related link). .

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.

Decoding a model

Decoding a model is an on computer activity in which students are challenged to decode a model.

Complex Adaptive Systems

This video was produced by Project GUTS and Code.org to introduce Complex Adaptive Systems.

Project GUTS MOOC

Project GUTS presented the CS in Science curriculum modules in a Massive Open Online Course (MOOC). The links below will allow you access to the original MOOC site, to see not only the written curriculum but also screencasts of building the related StarLogo Nova models and other background information for teachers and facilitators. The MOOC was also translated in Spanish (see link below).

For the 2017 course, please go to guts-2017.appspot.com

Agent Based Modeling

This video was produced by Project GUTS and Code.org to introduce agent based modeling.

Computational Thinking

This video introduces computational thinking. It was produced by Project GUTS with Code.org.

Teacher testimonial: Corinna Low

This video shows an interview of Corinna Low, a middle school science teacher from South San Francisco.

Teacher encouragement

In this video, Corinna Low give teachers words of encouragement to try the Project GUTS CS in Science curriculum.

Models in the Classroom

In this video, GUTS teachers talk about using models within science classrooms.

Dispositions and Classroom Culture

In this video, GUTS teachers talk about instilling dispositions and classroom culture that supports scientific inquiry and the development of computational thinking.

Using Computer Models in Scientific Inquiry

In this video, a Project GUTS teacher explains how and why we use computer models in science classrooms.

Computational Thinking Resources

The attached documents can provide background information for teachers on Computational Thinking.

Painted Turtles for StarLogo TNG

An fun introductory coding activity in StarLogo TNG using the random blocks, which demonstrates the power of parallel programming by simultaneously using many turtles to create patterns on the screen. For StarLogo Nova, see this activity in CS in Science, Module 1.