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Facilitator Resources (2023)

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

Dice and Data (see also CS in Science, Module 1)

Dice and data is a hands-on activity in which students learn about probability and how probability is used in modeling and simulation. Students first investigate single dice rolls and connect the results to randomness, then students investigate two die rolls and learn how the results of two-die rolls are used to mimic animal movement in a wiggle walk.

Guía de estudiantes para la actividad "Dados y datos" (Dice & Data)

Esta es la hoja de actividad para los estudiantes para "Dados y datos", una actividad de probabilidad. La probabilidad juega un rol importante en los modelos de sistemas complejos adaptativos. En esta actividad se programan agentes para imitar el movimiento de criaturas en el mundo real. También eventos aleatorios que ocurren cuando los agentes interactúen como por ejemplo contagiar una persona a otra.

Workshop Planning Guide

A list of factors to consider for facilitators and school districts or partner organizations in planning a workshop.

StarLogo NOVA 2.0: ¿Qué cambió y qué es lo nuevo?

Spanish version of "SLNOVA 2.0: WHAT'S CHANGED OR NEW".

Versión en español del documento "SLNOVA 2.0: WHAT'S CHANGED OR NEW" con la comparación entre ambas versiones y el detalle de las nuevas funcionalidades de SLNOVA 2.0

Slides for 3 day workshop

These are generic slides we've used for 3 day workshops. They have been updated to show the correct screen shots of StarLogo Nova 2.0.

Tips for Facilitators

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.

CS in Science Agenda for 5 day workshop

This is an agenda for facilitators to use in planning a five-day CS in Science workshop.

CS in Science Module 4: Chemistry slide presentation

These are slide presentationsfor CS in Science Module 4: Chemical Reactions. Teachers can download and modify this presentation for classroom use. Be sure to select the correct 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.

Neural Network Game

This is a presentation / activity presented at AAAI/AI4k12 2019 on teaching about neural networks through a participatory simulation.

Papercatchers

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.

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),.

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.

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).

Facilitator Resources (from 2019)

This is a set of resources to help Facilitators prepare for Workshops.

What's Represented?

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

A slide deck of exercises to build CS and decoding skills

Investigating Fairness in Machine Learning Applications

This is a mini-AI curriculum developed for a CSTA conference workshop.

Why Model?

A paper describing the author's reasons why modeling is essential to science.