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Facilitator Resources (2023)

The following resources are created by Project GUTS facilitators to help prepare for 2023 GUTS workshops

Modeling MRSA in Chicago (scientist talk)

This is a talk Dr. Chick Macal gave to GUTS teachers at a Chicago PD workshop in 2015.

Daisy world

A model demonstrating the albedo effect of black or white surfaces. Use as a part of the Climate Change and Agriculture Project GUTS Curricular Unit, or as a stand-alone model, activity, and video.

Scavenger Hunt for Teachers

This scavenger hunt asks teachers to locate various Project GUTS resources. A fun tool to increase familiarity with Project GUTS and what's available.

BCSC 5e Instructional Model

BSCS (Biological Sciences Curriculum Study) paper explaining the 5e instructional model. The model describes a teaching sequence that can be used for entire programs, specific units, and individual lessons. The BSCS 5E Instructional Model plays a significant role in the curriculum development process as well as the enactment of curricular materials in science classrooms.

Why Model?

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

Bloques de código para modelo de cambio climático

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.

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.

¿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.

Ecosystems as Complex Adaptive Systems

Background information on ecosystems for teachers' use in CS in Science, Module 3 (Ecosystems)

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.

Workshop Planning Guide

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?

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

Tips for Facilitators

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.

CS in Science Agenda for 5 day workshop

This is an agenda for facilitators to use in planning a five-day CS in Science workshop.

Emergence video

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.

The Greenhouse Effect

A short video on the basics of the greenhouse effect, used in CS in Science, Module 2 (Greenhouse gas model).

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.

Facilitator Resources (from 2019)

This is a set of resources to help Facilitators prepare for Workshops.

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.