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Locating the Epicenter of an Earthquake Lesson

Identify the location of an earthquake epicenter using a travel time graph and three seismograph tracings. The epicenter is the point on Earth's surface directly above an earthquake. Seismic stations detect earthquakes by the tracings made on seismographs. Tracings made at three separate seismic stations are needed to locate an earthquake epicenter.

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

Journal of Computational Science Education (2012)

Introduction to Climate Modeling

This document gives background information for students to use with CS in Science Module 5 (Greenhouse Gas).

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.

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.

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.

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.

Assessing Youth's Computational Thinking (2011)

AERA conference proceedings 2011

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

ACM InRoads (2014)

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.

Reclaiming the roots of CT (2016)

CSTA Voice 2016

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

ACM SIGCSE 2017

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.

Module 3 Lesson 1 - Ecosystems as Complex Adaptive systems

In this lesson, students will be introduced to ecosystems concepts through an activity called "Papercatchers", a participatory simulation in which students play the part of agents in a simulation. After playing the “game” that illustrates population dynamics and carrying capacity, students will view a computer model of a simple ecosystem. Through the model, students will review concepts of population growth, producers and consumers, and the movement of energy through an ecosystem.

Module 3 Lesson 2 - Rabbits and Grass Model

In this lesson, students will participate in two activities that USE the Rabbits and Grass model. The first activity is a look under the hood at the model to understand what was included and left out of the model (abstraction). In
the second activity, students will learn to design and conduct systematic experiments using the model as an experimental test bed. They will instrument their model to collect data, then analyze data and report out on
their findings.

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.

StarLogo Nova 2.0 galleries for CS in Science modules

These links create a shortcut to find the StarLogo Nova 2.0 gallery for each module in CS in Science. For StarLogo Nova 1.0 galleries, go to flash.starlogonova.org.

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