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CSTA-Compiled Resources to Support Teaching During COVID-19

Compiled a list of resources to help CS teachers support their students remotely.

Computational Thinking for Youth in Action (2011)

This is an early paper of Computational Thinking that has a lot of traction. It's where we first describe the Use-Modify-Create trajectory.

Diagram of x and y coordinates in StarLogo Nova

Math Basics for StarLogo Nova

This handout explains left and right degrees, x and y coordinates, and headings in StarLogo Nova.

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),.

Progress Monitors for CS in Science Modules (coding activities)

Progress Monitors are meant to be guides for students, giving goals for the model but not providing specific coding instructions.

Code Blocks for CS in Science Module 4 (Chemical Reactions)

Use this document while decoding the base model in CS in Science, Module 4: Chemical Reactions.
Select the relevant link below, depending on whether you are using StarLogo Nova 1.0 (flash version) or StarLogo Nova 2.0(HTML5/JavaScript version).

My Robotic Friends (cups activity)

This is the cups activity by Thinkersmith (later part of Code.org)

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.

Skill Building Deck

A slide deck of exercises to build CS and decoding skills

Assessing Youth's Computational Thinking (2011)

AERA conference proceedings 2011

Module 3 Lesson 5 - Designing and Running an Experiment and Sharing Your Findings

In this lesson, students will complete their ecosystems models and then design and run experiments using their models as experimental test beds. As an extension, students can prepare a presentation on their model, experimental design and findings.

Application of the Occupational Analysis of Computational Thinking-Enabled STEM Professionals as a Program Assessment Tool (2012)

Journal of Computational Science Education (2012)

Integrating Computational Thinking Across the K-8 Curriculum (2014)

ACM InRoads (2014)

Reclaiming the roots of CT (2016)

CSTA Voice 2016

Profile of a CT Integration Specialist (2017)

Computational Thinking Education 2017 conference

Developing a framework for computational thinking from a disciplinary perspective (2018)

Proceedings of the International Conference on Computational Thinking
Education 2018. Hong Kong: The Education University of Hong Kong.

Making Sense of Models one page description

This is a document that describes the Making Sense of Models project.

Module 3 Lesson 3 - Adding a Predator

In this lesson, students will modify the Rabbits and Grass model by adding a predator, a Mountain Lion, to answer a new question: “Does adding a top predator increase or decrease the stability of an ecosystem?” In the second activity, students will design and run experiments to see if adding a predator has an impact on the ecosystem. This activity will reinforce the concepts of energy flow through ecosystems and the often unexpected results of interactions in complex adaptive systems.

Module 3 Lesson 4 - Create Your Own Ecosystem Model

In this lesson, students will design their own ecosystems projects consisting of a question, experimental design and model. In the first activity, students will learn about the computational science cycle and use it to scope their project. This leads to a second activity where they start designing and implementing their 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.

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