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The Greenhouse Effect

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

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

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.

Guía de observación de un modelo basado en agentes

Se trata de una guía para poder observar un modelo basado en agentes y reconocer sus diferentes partes, como por ejemplo las abstracciones (quiénes son los agentes, cuál es el entorno, cuáles son las interacciones); la automatización; los supuestos y el análisis.

Bloques de código para modelo de cambio climático

Es una hoja de referencia con los bloques de código necesarios para el modelo de cambio climático. Se explica bloque por bloque qué función cumple cada estructura en cada pestaña de la programación con StarLogo NOVA.

Interview with Hal Scheintaub

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

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.

Workshop Planning Guide

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

Decoding a Model - Dissolving of NaCl in Water

Start of a lesson on dissolving a solid in water by decoding on a model.

Scientific Practices and Computational Thinking in Modeling & Simulation

This document is a handout used to reflect on the scientific practices and computational thinking involved in a Project GUTS module or lesson.

Project Design Form

A printable copy of the Project Design Form, used in Project GUTS CS in Science Modules.

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.

Code Blocks for CS in Science Module 2 (Water Resources)

This blocks guide can help students decode the base model used in Module 2 -- Water Resources. The links below correspond to either StarLogo Nova 1.0 (Flash version) or StarLogo Nova 2.0 (HTML5/JavaScript version).

Emergence video

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.

Code Blocks for CS in Science Module 5 (Greenhouse Gases)

A guide for students when decoding the Greenhouse Gases model for CS in Science (Module 5). The links below correspond to this model as created in StarLogo Nova 1.0 (Flash version) or StarLogo Nova 2.0 (HTML5/JavaScript version).

Guides, Common Forms, and Activity Sheets for CS in Science Modules

This 56-page pdf includes printable copies of the Student Activity Guides, Common Forms, Blocks Guides, CS Concepts, and Progress Monitors for Modules 1-4 of CS in Science. This version was created in 2015, for StarLogo Nova 1.0. If using StarLogo Nova 2.0, search for the Blocks guides attached to each module.

Scientific Practices Form

A printable copy of the Scientific Practices Form used throughout CS in Science Modules.

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.

Why Model?

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