This video examines the global perspective of materials. It looks that the difference between reserves and resources and considers the question of "running out" of materials.This video part of the Sustainability Learning Suites, made possible in part by a grant from the National Science Foundation. See 'Learn more about this resource' for Learning Objectives and Activities.

This video explains what is meant by a materials life cycle framework. It describes what happens at each step in the life cycle and why designers should consider the life cycle in the design process. This video is part of the Sustainability Learning Suites, made possible in part by a grant from the National Science Foundation. See 'Learn more about this resource' for Learning Objectives and Activities.

This video examines the use of life cycle assessment methods as an aid to the design process. It introduces three methods: full life cycle assessment, streamlined life cycle assessment, and economic input-output life cycle assessment. The advantages and limits of each stated. This video is part of the Sustainability Learning Suites, made possible in part by a grant from the National Science Foundation. See 'Learn more about this resource' for Learning Objectives and Activities.

What can we learn from nature's designs for sustainability? This video compares nature's methods with the industrial era methods of design. It recommends a design strategy based on the connection or relationship between things as a means to achieve transformative innovation for sustainability. This video is part of the Sustainability Learning Suites, made possible in part by a grant from the National Science Foundation. See 'Learn more about this resource' for Learning Objectives and Activities.

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This lesson unit is intended to help you assess how well students are able to: Calculate the mean, median, mode, and range from a frequency chart; and to use a frequency chart to describe a possible data set, given information on the mean, median, mode, and range.

In this lesson, students will be amateur mycologists--collecting and analyzing various mushrooms. Through observation and discussion, students will gain knowledge of the basic anatomy of mushrooms, their life cycle, and their method of reproduction through spores. Students will learn to create spore prints of mushrooms and label and preserve their spore prints, just like a mycologist. Students also will learn that by comparing spore prints, they can identify different mushroom species.

Students apply concepts of disease transmission to analyze infection data, either provided or created using Bluetooth-enabled Android devices. This data collection may include several cases, such as small static groups (representing historically rural areas), several roaming students (representing world-travelers), or one large, tightly knit group (representing urban populations). To explore the algorithms to a deeper degree, students may also design their own diseases using the App Inventor framework.

In this activity, learners work in groups to determine the mass and volume of four samples: glass marbles, steel washers or nuts, pieces of pine wood, and pieces of PVC pipe. Learners then plot the data points on a large class graph of mass vs. volume to discover that data points for a particular material form a straight line, the slope of which gives the density of the material.

This free, online article, developed for elementary teachers, describes a Kindergarten polar science, standards aligned, unit centered on The Polar Express developing literacy, math, and science skills.

This video looks at the global population and trends. It also explains the concept of carrying capacity and how a person's behavior influences carrying capacity. This video is part of the Sustainability Learning Suites, made possible in part by a grant from the National Science Foundation. See 'Learn more about this resource' for Learning Objectives and Activities.

This video describes the ecological footprint and its limitation. It goes into some depth on the computation on the footprint and what it means for the global population. This video is part of the Sustainability Learning Suites, made possible in part by a grant from the National Science Foundation. See 'Learn more about this resource' for Learning Objectives and Activities.

This activity helps students develop better understanding and stronger reasoning skills about distributions in terms of center and spread. Key words: center, spread, distribution

Four Antarctica researchers describe how they keep warm while working in extreme cold, taking lessons from adaptations of wildlife.

In this group activity, learners use some common objects and work together to simulate the Coriolis effect. During the challenge, learners make predictions and test different scenarios. This resource includes background information about the Coriolis effect and helpful hints.

In this activity, learners explore how different deodorants work. Learners treat agar plates with different types of deodorants and compare the bacteria growth on the plates to the control sample.

This article assembles free resources from the Science at the Poles issue of the Beyond Penguins and Polar Bears cyberzine into a unit outline based on the 5E learning cycle framework. Outlines are provided for Grades K-2 and Grades 3-5.

This article features children's literature about scientists and scientific research in the Arctic and in Antarctica.

This article describes the basics of thermography or thermal imaging, and how this technique can inspire a data collection activity to teach about heat transfer and energy efficiency.

This activity has students use Fathom to test the correlation between attendance and ballpark capacity of major league baseball teams by taking a sample of actual data and scrambling one of the variables to see how the correlation behaves when the variables are not related. After displaying the distribution of correlations for many simulated samples, students find an approximate p-value based on the number of simulations that exceed the actual correlation.