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Energy/Power Performance Task
This resource, created by Liz Hudd of Red Rocks Community College, will invite students to explore the relationship between energy and power. Students will begin by calculating the power output of running and walking up a flight of stairs and move on to calculating the power generation and energy from solar panels on schools. The activity requires two days of in-class work. This five page pdf document contains the student assessment for the activity and includes all the questions and calculations students will need to complete. An overview of the lesson is also available in a pdf titled What is Energy? on Red Rocks Community College's website.
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John Heeley's Masterclass
Jonny Heeley, a British math teacher, has been featured in The Guardian, and recordings of his masterclasses can be found around the Internet. It's easy to see...
National Education Association:...
This resource list from retired middle school teacher Phil Nast is packed with links to map-related resources around the web. Here educators will find links to...
Institute of Physics: Education
The Institute of Physics (IOP), which boasts a worldwide membership of over 50,000, has put together an excellent Education section on its website. Here...
Codecademy School Computer Science...
Codecademy can be useful to educators in at least two ways. First, the site does a nice job of teaching beginners to code in HTML, Python, Java, and other...
For educators who are looking for ways to communicate the excitement and discovery that accompany classes and careers in Science, Technology, Engineering, and...

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AMSER is funded by the National Science Foundation as part of the National Science Digital Library, and is being created by a team of project partners led by Internet Scout.
Scientist observing cell culture through a microscope.
Candlesticks chart with various indicators.
Data Mining: If you're looking for a broad mathematical area with many applications, consider data mining, which involves the discovery of patterns and previously unknown information in large data sets. Opportunities in this field are in security, forensics, and sciences.

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