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Coding Challenges

Coding Challenge are a series of short challenges that focus on improving coding skills using StarLogo Nova. Each set of challenges focuses on a specific concept: degrees & heading, x & y coordinates and randomness, conditions including absolute value and percent chance, adding color to the terrain and repeat loops, using the z coordinate, and other computer science concepts (logic blocks, data collection),.

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.

image of battleship by https://www.vectorstock.com

Battle of the Agents

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.

El Juego de la pesca (La Tragedia de los Comunes)

El Juego de la Pesca utiliza el concepto de Tragedia de los Comunes (Hardin, 1968) para trabajar sobre sustentabilidad. El jugador (pescador) tiene 10 días para atrapar tantos peces como pueda para alimentar a su familia. Cada día, el pescador puede elegir pescar uno, dos o tres peces, o no pescar ninguno. Hay otros dos pescadores que también tratan de capturar tantos peces como puedan. El lago en el que se pesca sólo puede soportar 20 peces (que es la capacidad de carga del lago).

Image of slider from www.thenounproject.com

What are the chances?

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

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.

Code.org and SLNova Computer Science Concepts

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.

An Example of CT in the Workplace

This is an example of how a computer modeler uses various aspect of computational thinking while designing, creating and using a computer model as a tool to think with.

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

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.

Vocabulary for Code.org & SLNova

This is a Quizlet link to some vocabulary useful for students to know using SLNova.

Debugging Challenges for StarLogo Nova

These challenges ask students to identify and correct common coding errors within StarLogo Nova programs. The first challenge is generic, all others relate to the content area module from CS in Science. Students like to solve the problems and fix the code, and learn about debugging skills while engaging further with content area modules. It is also a good review for instructions/facilitators before building code with students.

Computational Science video

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

Graphic from video showing people wearing jeans

Data and Data Analysis video

A very short video (0.36) introducing the concepts of data and data analysis from StarLogo Nova models.

Kinesthetic Flower Turtles Activity

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.

Maze

Students struggle understanding proportional relationships and scaling shapes. This module allows students to scale one shape and transfer it to 3 different environments. Students will create a game online (SL Nova) and program a Sphero (robot) while learning the math standards.

https://www.youtube.com/watch?v=Utb1plCyyb0

Exploring the Wiggle Walk and Collisions via a Kinesthetic Activity

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.

Fish schooling from National Geographic video

Complex or Complicated?

Complex or Complicated uses a slide presentation to create a whole class game-show like activity that is used to engage students in argument from evidence and refine students' understanding of complex adaptive systems.

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

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.

The Greenhouse Effect

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

Robot chef image from http://soursaltybittersweet.com

Peanut Butter & Jelly Robot

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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