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Biology+C – Genetics: Phenotypes and Genotypes

This unit focuses on genetics and how the allele frequency in a population can change over time.

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

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 – Homeostasis: Maintaining Glucose Levels in Blood

This unit reviews concepts related to feedback loops for maintaining homeostasis in the human
body.

Biology+C – Simple Ecosystems: Energy Flow in an Ecosystem

This unit models a simple ecosystem to provide students with the opportunity to gain a deeper understanding of the interactions of organisms in ecosystems such as the flow of energy between trophic levels.

Biology+C – Enzymes: Food Digestion

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.

Biology+C – Ecosystem Dynamics: Balancing an Ecosystem

In this unit, students will apply concepts related to ecosystems, such as interdependent relationships, to run various experiments in the NetLogo model.

Science+C Intro Unit: Epidemics

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

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

Scientific Practices Form

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

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.

Papeles en el viento ("Papercatchers")

"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.

Tiburón en medio de un cardumen de peces en el fondo del océano

¿Complejo o complicado?

¿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.

Screen shot from Project GUTS rabbits and grass model

Modeling Ecosystems in StarLogo Nova

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

What's Represented?

These exercises ask the learner to identify abstractions in the computer model as compared to a diagram or image of a natural phenomenon.

Project Design Form

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

Image of science experiment from thenounproject.com

Experimental Design Form

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.

Papercatchers

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.

Preparing STEM Teachers to offer Computer Science for All (2017)

ACM SIGCSE 2017

Neural Network Game

This is a presentation / activity presented at AAAI/AI4k12 2019 on teaching about neural networks through a participatory simulation.

Toss-Up

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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