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Biology+C – Natural Selection and Evolution: Natural Selection in Moths

Posted June 13, 2024 by bperret

This unit reviews concepts related to natural selection and Darwin’s theory of evolution. It provides students with the opportunity to gain a deeper understanding of the process of natural selection and how it can be represented and demonstrated using computer models.

Biology+C – Enzymes: Food Digestion

Posted June 13, 2024 by bperret

The unit provides students with the opportunity to gain a deeper understanding of process and how they can be represented and demonstrated using computer models.

Science+C Intro Unit: Epidemics

Posted June 13, 2024 by bperret

This unit introduces students to using models as scientific testbeds, the NetLogo interface, and the basics of the model code by exploring how disease spreads through a population.

Biology+C – Experimenting with Photosynthesis

Posted June 13, 2024 by bperret

Photosynthesis is a dynamic process through which plants turn carbon dioxide and water into carbohydrates such as glucose while releasing oxygen as a byproduct.

Guía de referencia de bloques de StarLogo NOVA

Posted May 16, 2017 by Rizzi

Se trata de una guía que describe los bloques de comandos más comunes utilizados en StarLogo NOVA en el curso MOOC de Project GUTS en español. Están agrupados según el módulo en que se utilizan.

Simulación de un brote de Dengue

Posted March 29, 2017 by Rizzi

Este modelo simula la transmisión del virus del dengue en un barrio de cuatro manzanas durante 180 días. El vector del virus es el mosquito Aedes egyptii. La simulación muestra un gráfico con la evolución del brote (el cambio en la cantidad de personas sanas y de personas infectadas), otro gráfico con la evolución de la población de mosquitos y unos monitores que indican el estado de la población de mosquitos y cuántas personas fueron infectadas.

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.

Code.org and SLNova Computer Science Concepts

Posted May 13, 2017 by kristico

This is a 4 week unit for a Computer Technology class in a middle school. Students are introduced to computer science concepts through lessons in Code.org's Course 3. Students then apply those concepts in SLNova projects.

Feedback loops

Posted May 15, 2017 by sgibbs

This document provides background information on feedback loops in complex adaptive systems.

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!

Block-based agent-based modeling tool based on Scratch

Posted September 25, 2017 by Rizzi

Cellular is an agent-based modeling tool that uses a Scratch-like interface and allows teachers and students to create models and simulations in a very easy way. This makes this tool suitable to introduce ABM into the Primary level but also in Middle & High School taking advantage of previous students experience with Scratch. Cellular is based on Snap wich it's also based on Scratch. And you can also work off-line!!

Teaching Equity Resources

Posted June 4, 2018 by sgibbs

Here are links to the resources used in CS in Science workshops to discuss equity in computer science.

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).

Dengue outbreak simulation

Posted March 29, 2017 by Rizzi

This model simulates the transmission of the dengue virus in a neighborhood of four blocks during 180 (one hundred and eighty) days. The vector of the virus is the mosquito Aedes egyptii. The simulation shows a chart of the evolution of the outbreak (the change in the number of healthy people and infected people), another graph with the evolution of the mosquito population and some monitors that indicate the state of the mosquito population and how many people were infected.

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