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MSM Unit 4: The Albedo Effect

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MSM Unit 1, Lesson 1: Introducing Ratios

In this lesson students will participate in two activities then create their own ratio puzzles. In the first activity, they will learn about parts-to-parts ratios and complete an embedded assessment. In the second activity, they will learn about parts-to-whole ratios and complete another embedded assessment. In the third activity, students will create their own ratio puzzles to share. Throughout the lessons, the language of ratios is reinforced.

TrailBlazer Board Game Tester

This is NetLogo model to test the solutions when participants paint the board.

Simulación de un brote de Dengue

Este modelo simula la transmisión del virus del dengue en un barrio de cuatro manzanas durante 180 días. El vector del virus es el mosquito Aedes egyptii. La simulación muestra un gráfico con la evolución del brote (el cambio en la cantidad de personas sanas y de personas infectadas), otro gráfico con la evolución de la población de mosquitos y unos monitores que indican el estado de la población de mosquitos y cuántas personas fueron infectadas.

Understanding by Design

Understanding by Design (UbD) curriculum offers a 3-stage “backward design” framework for developing units of study. The same process guides larger-scale curriculum development for courses and
programs (macro level). The UbD curriculum structure for building a coherent curriculum spirals around “big ideas,” essential questions, and core assessments.

BCSC 5e Instructional Model

BSCS (Biological Sciences Curriculum Study) paper explaining the 5e instructional model. The model describes a teaching sequence that can be used for entire programs, specific units, and individual lessons. The BSCS 5E Instructional Model plays a significant role in the curriculum development process as well as the enactment of curricular materials in science classrooms.

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.

Computational Science video

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

Emergence video

A portion of a PBS NOVA video discussing the concept of emergence (or complex adaptive systems) where patterns emerge in nature where agents follow simple rules.

The Greenhouse Effect

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

Assessing Youth's Computational Thinking (2011)

AERA conference proceedings 2011

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)

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.

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.

Experimental Design for Virtual Instruction

A Google Sheet to use for conducting the Experimental Design activity in a remote learning classroom.c

Dengue outbreak simulation

This model simulates the transmission of the dengue virus in a neighborhood of four blocks during 180 (one hundred and eighty) days. The vector of the virus is the mosquito Aedes egyptii. The simulation shows a chart of the evolution of the outbreak (the change in the number of healthy people and infected people), another graph with the evolution of the mosquito population and some monitors that indicate the state of the mosquito population and how many people were infected.

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