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Scientific Practices Form

Posted July 27, 2018 by turtle

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

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

Posted May 16, 2017 by Rizzi

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

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.

Computational Science video

Posted June 2, 2017 by sgibbs

A short video (1:27) on the computational science cycle, used in Project GUTS CS in Science (Modules 2-4).

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.

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.

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.

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

Posted July 27, 2018 by turtle

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.

Project Design Form

Posted July 27, 2018 by turtle

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

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).

Experimental Design Form

Posted July 27, 2018 by turtle

A printable copy of the experimental design form, used in Project GUTS CS in Science Modules, for students to plan an experiment, including identifying variables, planning data collection and analysis, and interpretation.

Introduction to Climate Modeling

Posted July 27, 2018 by sgibbs

This document gives background information for students to use with CS in Science Module 5 (Greenhouse Gas).

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.

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

Toss-Up

Posted March 30, 2017 by turtle

As a virus spreads through a community, epidemiologists might study how far a disease has spread, how quickly it spreads and how infectious it can be as well a numerous other pieces of data in order to understand the disease and its potential impact on a community. In this activity, students will simulate the spread of a virus such as the flu. Students will work in pairs to accumulate data using graph paper, a data chart, and a die. Before starting, groups will need to decide on three variables.

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