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Exploring the Wiggle Walk and Collisions via a Kinesthetic Activity

Posted August 4, 2017 by jhenderson

This activity teaches the Wiggle Walk blocks (random right by ___ degrees, random left by___ degrees), through a kinesthetic activity and explores when a programmer would want to code agents to move this way. It avoids the statical analysis of the random probabilities found in Module One, Lesson 4 Activity 1: Probability with Dice and Data and Colliding Turtles, while still addressing the end goals of the Module One Lesson 4.

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.

Computational Thinking

Posted December 2, 2016 by turtle

This video introduces computational thinking. It was produced by Project GUTS with Code.org.

Dispositions and Classroom Culture

Posted December 2, 2016 by turtle

In this video, GUTS teachers talk about instilling dispositions and classroom culture that supports scientific inquiry and the development of computational thinking.

Battle of the Agents

Posted March 29, 2017 by turtle

A take on the classic board game Battleship, this paper and pencil activity is a fun way to help students understand the use of x and y coordinates in StarLogo Nova. After the activity, students can use the StarLogo Nova model to experiment with x and y locations in a game-like context.

What are the chances?

Posted March 30, 2017 by turtle

An off-line activity to introduce students to concepts of randomness and how to program percent chance using a slider in StarLogo Nova.

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.

Kinesthetic Flower Turtles Activity

Posted August 3, 2017 by carl

This activity is an extension to the CS in Science Module 1, Lesson 2, between activity 1 and activity 2. It is a kinesthetic activity to show how the agents behave according to a certain program. It can replace the activity that is there or be used as an extension or add on to the listed activities.

Feedback loops

Posted May 15, 2017 by sgibbs

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

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.

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.

¿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.

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).

The Giraffe and the Platypus

Posted June 12, 2017 by sgibbs

This is an activity that allows teachers in a workshop to experience and explore the equity issue involved in differences in background knowledge of students.

Peanut Butter & Jelly Robot

Posted September 1, 2016 by turtle

This activity introduces students to several computer science concepts, to the necessity for thoroughness while programming, and to the often strange results of literalism. The overarching theme is that computers do what they are told and nothing more. The ability to read between the lines and determine what was meant rather than what was said is a skill computers lack. Additionally, students are introduced to the concept of debugging.

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