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¿Complejo o complicado?

Posted May 17, 2017 by Rizzi

¿Complejo o Complicado? utiliza una presentación de diapositivas para crear una actividad que se utiliza para involucrar a los estudiantes en argumentar basándose en evidencias y mejorar su comprensión sobre los sistemas adaptativos complejos.

Littering Unit

Posted April 29, 2017 by sgibbs

Littering is a type of non-point source pollution caused
 by humans acting independently from each other, however causing a global environmental problem. Controlling this source of pollution is hard to manage despite numerous interventions. Pollution of groundwater, rivers, oceans result from these everyday littering behavior whether intentional or accidental. In this unit we will model a simple form of littering and then ways to reduce it in our community.

Emergency Egress

Posted May 8, 2017 by turtle

Emergency Egress is the study of people exiting a building or other social gathering space in an emergency situation. This unit explores models and other ways to analyze the safety of a building and to evaluate which elements may affect how quickly and safely a space may be evacuated. It also discusses the issues of modeling humans in emergency situations.

Shared Resources - Economics

Posted May 10, 2017 by turtle

As the human population grows, it has become increasingly important to understand how humans are impacting the environment and how resources are managed and used. Often, this type of understanding falls under the topic of Sustainability in which the needs of the present population are met without compromising the needs of future generations. In this unit, we look at a variety of resources, through the lens of complex adaptive systems, especially studying feedback and interdependence.

Why Model?

Posted May 15, 2017 by sgibbs

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

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.

Papeles en el viento ("Papercatchers")

Posted May 17, 2017 by Rizzi

"Papeles en el viento" (Papercatchers) es una simulación participativa en la que los estudiantes aprenden sobre el crecimiento de la población y los límites al crecimiento. Los estudiantes desempeñan el papel de miembros de una población creciente, siguen reglas sencillas que rigen la supervivencia y la reproducción, y recopilan y grafican datos.

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.

Modeling Ecosystems in StarLogo Nova

Posted June 2, 2017 by sgibbs

This document gives background information and is a guide to CS in Science, Module 3 (Ecosystems) and building the rabbits and grass model.

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.

Workshop Planning Guide

Posted August 4, 2017 by sgibbs

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?

Posted September 25, 2017 by Rizzi

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

Posted February 17, 2018 by sgibbs

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.

Traffic Unit for StarLogo Nova

Posted April 28, 2017 by sgibbs

This unit engages students in the use of agent-based modeling to look into why we have traffic jams and test ideas to try to improve traffic flow, and demonstrates the use of simulation to solve difficult engineering problems. Specifically we focus on the problem of traffic bottleneck congestion. A secondary goal is to further students’ understanding of the network concept as a way to model real world flows of data and matter.

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