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Facilitator Resources (2023)

Posted June 11, 2023 by wellina

The following resources are created by Project GUTS facilitators to help prepare for 2023 GUTS workshops

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),.

Teaching Equity Resources

Posted June 4, 2018 by sgibbs

Here are links to the resources used in CS in Science workshops to discuss equity in computer science.

Project GUTS teacher & facilitator guides

Posted June 19, 2018 by sgibbs

These guides are aimed at helping teachers or workshop facilitators help their students or participants be independent learners while working with computer models. They are a work in progress - final versions will be uploaded soon. Please feel free to point out any corrections or additions in a discussion thread -- Thanks!

Emergence video

Posted July 27, 2018 by sgibbs

A portion of a PBS NOVA video discussing the concept of emergence (or complex adaptive systems) where patterns emerge in nature where agents follow simple rules.

Complex or Complicated?

Posted July 27, 2018 by turtle

Complex or Complicated uses a slide presentation to create a whole class game-show like activity that is used to engage students in argument from evidence and refine students' understanding of complex adaptive systems.

The Greenhouse Effect

Posted July 27, 2018 by sgibbs

A short video on the basics of the greenhouse effect, used in CS in Science, Module 2 (Greenhouse gas model).

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.

Debugging Challenges for StarLogo Nova

Posted July 27, 2018 by turtle

These challenges ask students to identify and correct common coding errors within StarLogo Nova programs. The first challenge is generic, all others relate to the content area module from CS in Science. Students like to solve the problems and fix the code, and learn about debugging skills while engaging further with content area modules. It is also a good review for instructions/facilitators before building code with students.

Walk & Turn for StarLogo Nova

Posted July 27, 2018 by turtle

This is the CS in Science, Module 1, Activity 1 activity. Students participate in an activity acting as agents, then view a computer model, to introduce concepts of computer science and complex adaptive systems.

DECODE NYC Virtual Lesson Plan - MODIFYING A MODEL: OMNIVOROUS FOXES

Posted January 27, 2021 by wellina

This remote lesson serves as an opportunity for students to modify the code of an agent-based model to reflect the complexity of real-world food webs. Students will evaluate theeffectiveness of the modifications based on their understanding of population dynamics.

Complex Adaptive Systems Modeling Video

Posted July 27, 2018 by turtle

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.

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

Tips for Facilitators

Posted May 5, 2018 by sgibbs

Suggestions on best practices for teaching Project GUTS lessons, by acting as a facilitator to student learning, rather than a lecturer on your known content.

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