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Troubleshooting Guide

Posted May 26, 2018 by sgibbs

A brief guide to Troubleshooting for teachers and facilitators -- how to get StarLogo Nova to work correctly.

Introducción al modelado del clima

Posted May 16, 2017 by Rizzi

Documento base como introducción al modelado del clima. Habla sobre el sistema climático global como un sistema dinámico complejo; la diferencia entre tiempo y clima; los ciclos de retroalimentación en el sistema climático global, etc.
Fue extraído de “Mathematics of Climate Change: A new discipline for an uncertain century” una publicación del Instituto de Investigación en Ciencias Matemáticas. Berkeley, CA 2007 y traducido al español.

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

Posted December 2, 2016 by turtle

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.

Project GUTS MOOC

Posted December 7, 2016 by turtle

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

El Juego de la pesca (La Tragedia de los Comunes)

Posted March 29, 2017 by Rizzi

El Juego de la Pesca utiliza el concepto de Tragedia de los Comunes (Hardin, 1968) para trabajar sobre sustentabilidad. El jugador (pescador) tiene 10 días para atrapar tantos peces como pueda para alimentar a su familia. Cada día, el pescador puede elegir pescar uno, dos o tres peces, o no pescar ninguno. Hay otros dos pescadores que también tratan de capturar tantos peces como puedan. El lago en el que se pesca sólo puede soportar 20 peces (que es la capacidad de carga del lago).

Crash Course on Design Thinking

Posted April 3, 2017 by turtle

A 90-minute "virtual crash course" on Design Thinking, by Stanford University. A resource for teachers. "Using the video, handouts, and facilitation tips below, we will take you step by step through the process of hosting or participating in a 90 minute design challenge. Through this experience we hope you will take away some of the basic principles of Design Thinking and start to adapt them into your personal and professional routines"

Rubric ideas for assessing computer models

Posted April 5, 2017 by turtle

In December 2015, Code.org teachers were asked for their ideas on 4 important criteria to include in any rubric used to assess computer models. Here are their ideas, in a forum discussion.

An Example of CT in the Workplace

Posted May 15, 2017 by ilee

This is an example of how a computer modeler uses various aspect of computational thinking while designing, creating and using a computer model as a tool to think with.

Guía de conceptos de ciencias de la computación

Posted May 16, 2017 by Rizzi

Se trata de una guía que describe varios conceptos de ciencias de la computación agrupados por categorías como eventos, instrucciones y programas, iteraciones, etc.
Explica y ejemplifica diferentes conceptos como por ejemplo: ¿Qué es un bucle o loop?

Guía de observación de un modelo basado en agentes

Posted May 16, 2017 by Rizzi

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.

Debugging Guide

Posted May 26, 2018 by sgibbs

A short guide for identifying and fixing common bugs in StarLogo Nova 2.0.

Bloques de código para modelo de cambio climático

Posted May 16, 2017 by Rizzi

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.

Ficha de diseño de un modelo

Posted May 16, 2017 by Rizzi

Es una guía con preguntas que deben contestarse cuando se diseña un modelo de simulación basado en agentes.

The Giraffe and the Platypus

Posted June 12, 2017 by sgibbs

This is an activity that allows teachers in a workshop to experience and explore the equity issue involved in differences in background knowledge of students.

Alternative Intro to StarLogo Nova - Modeling Change Lesson 1

Posted July 3, 2017 by sgibbs

The first part of the Modeling Change Unit can be used as a fun stand-alone programming activity for students unfamiliar with StarLogo Nova. It guides students to build a model that use keyboard controls to change the two-dimensional location of agents (in section 1a) and change other traits including the third dimension (z), shape, color, and heading (in section 1b).

Modeling Change

Posted July 3, 2017 by sgibbs

This contributed curriculum physics unit introduces and builds models to explore concepts of independent and dependent change, constant and variable x and y change, gravity, and projectile motion. Each lesson contains detailed instructions on how to build each model, and links to base models and completed projects. Modeling Change Lesson 1 is also uploaded as an independent resource (since it can serve as an alternative introduction to StarLogo Nova).

Interview with Hal Scheintaub

Posted August 2, 2017 by ilee

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

Dispositions and Classroom Culture

Posted December 2, 2016 by turtle

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

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