Find Resources

CSTA-Compiled Resources to Support Teaching During COVID-19

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

Assessing Youth's Computational Thinking (2011)

AERA conference proceedings 2011

Photo of participants playing 27 Blind Mice

Alternate activities to introduce Project GUTS

Sometimes, teachers have a students who have already participated in Project GUTS introductory activities, and want to use something different, or want another activity to expand a lesson. Below are links to some alternate activities, both hands-on and on-line, for you to explore.

CS in Science Module 1: Introduction to Computer Modeling and Simulation (StarLogo Nova 2.0)

Module 1 introduces basic concepts in modeling complex systems through hands-on activities and participatory simulations. A scaffolded series of highly-engaging design and build activities guide students through developing their first computer model in StarLogo Nova 2.0, a modeling and simulation environment developed at the Massachusetts Institute of Technology.

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

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.

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

Journal of Computational Science Education (2012)

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.

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

ACM InRoads (2014)

Reclaiming the roots of CT (2016)

CSTA Voice 2016

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

ACM SIGCSE 2017

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.

Piedra, papel o tijera

El clásico juego en versión StarLogo NOVA

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.

Massachusetts Institute of Technology video - image of birds flocking

Complex Adaptive Systems Modeling Video

This short video (3:13 minutes) introduces complex adaptive systems and agent-based modeling concepts to middle-school students. It shows beautiful footage of birds flocking as an example of a complex adaptive system.

Search for "[keyword]" across the whole site.