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High School Biology Resources
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Screenshot The Concord Consortium is a non-profit educational technology group that has been designing teacher-ready tools, from lesson plans to activities, for over two decades. It is no surprise, then, that this site offers such compelling visual simulations for biology educators and their students. Here readers will find over a dozen freely available and beautifully designed activities on subjects such as modeling populations of African lions, the ins and outs of cellular respiration, and the special bonding qualities of hydrogen atoms. Readers may like to begin with the Meiosis Lab, which can be located under What is Meiosis? Simply select Launch Activity and then follow the interactive steps...
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A Science Blog
This publication connects readers with "life in the science communication community, research about science communication, and tools and advice for science...
Questacon: Hands On STEM Activities
While Questacon, Australia's interactive National Science and Technology Centre, is currently closed to the public due to COVID-19, readers from around the...
Reuben H. Fleet Science Center
Although the Reuben H. Fleet Science Center focuses mainly on astronomy, there are also exhibits and educational programming on science and technology, human...
C.R.E.A.T.E.S
The C.R.E.A.T.E.S. website uses interactive media, step-by-step directions, and detailed annotation of authentic examples to guide students through the...
Facilitating Cooperative Learning...
This presentation from DeafTEC discusses how to use cooperative learning groups in a classroom with deaf and hard-of-hearing students. The information is drawn...



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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.
Human red blood cells.
Teaching the quadratic equation.
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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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