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Massachusetts Institute of Technology video - image of birds flocking

Complex Adaptive Systems Modeling Video

This short video (3:13 minutes) introduces complex adaptive systems and agent-based modeling concepts to middle-school students. It shows beautiful footage of birds flocking as an example of a complex adaptive system.

Computational Science video

A short video (1:27) on the computational science cycle, used in Project GUTS CS in Science (Modules 2-4).

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.

Archived Material: CS in Science Module 2: Water as a Shared Resource (for StarLogo Nova 1.0)

Archived material for CS in Science: Module 2 for StarLogo Nova 1.0 (flash version, updated in 2015). In this module, students will investigate the importance of ground water and the impacts of water usage on aquifer levels. They will also explore how to model important parts of the water cycle, including evaporation and infiltration of water into different types of soils to recharge the aquifers.

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.

Archived Material: CS in Science Module 4 Chemical Reactions for StarLogo Nova 1.0 (Flash version)

Archived Material: CS in Science Module 4: Chemical Reactions for StarLogo Nova 1.0 (Flash version, updated 2015). 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.

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.

Modeling MRSA in Chicago (scientist talk)

This is a talk Dr. Chick Macal gave to GUTS teachers at a Chicago PD workshop in 2015.

Teaching Computer Science and Creating Independent Learners

A video (7:54) for teachers and facilitators with helpful techniques on facilitating design-and-build activities in ways then encourage students to become self-sufficient problem solvers.

Pair Programming video

This short video (2:51 minutes) features two middle school girls describing and practicing pair programming. It is a great introduction to this method of learning programming and creating models.

Getting Unstuck: Karen Brennan's "8 for 8"

This 8:13 minute video gives techniques for facilitating classrooms of students who are working on projects.

Interview with Hal Scheintaub

Teachers with GUTS interviewed Hal Scheintaub and demo of StarLogo Nova models created by his students on August 2, 2017.

Kinesthetic Flower Turtles Activity

This activity is an extension to the CS in Science Module 1, Lesson 2, between activity 1 and activity 2. It is a kinesthetic activity to show how the agents behave according to a certain program. It can replace the activity that is there or be used as an extension or add on to the listed activities.

https://www.youtube.com/watch?v=Utb1plCyyb0

Exploring the Wiggle Walk and Collisions via a Kinesthetic Activity

This activity teaches the Wiggle Walk blocks (random right by ___ degrees, random left by___ degrees), through a kinesthetic activity and explores when a programmer would want to code agents to move this way. It avoids the statical analysis of the random probabilities found in Module One, Lesson 4 Activity 1: Probability with Dice and Data and Colliding Turtles, while still addressing the end goals of the Module One Lesson 4.