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Jane Goodall's Roots & Shoots
Screenshot For educators looking for a way to engage K-12 students in community activism and wildlife conservation, Jane Goodall's Roots & Shoots is a welcome resource. From its origins as a group of 12 environmentally conscious students in Tanzania in 1991, Roots & Shoots has since grown to include over 150,000 members in 130 countries. Building on Dr. Jane Goodall's vision of a youth-led environmental movement, this website provides the necessary tools to launch a project relevant to students and their communities. From the homepage, navigate to Start a Roots & Shoots Community Project to learn about the 4-step formula. Step 1, Get Engaged, includes resources for learning about Dr. Goodall, the Roots...
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How Humans Speak, Sing, Squeak and...
The National Center for Voice and Speech developed this series of mini-courses and tutorials to assist people with difficult concepts in voice production....
High School Biology Resources
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...
Biotechnology Teachers Resources...
Educators assembling lessons on biotechnology will find much to appreciate in this list of teacher resources from the North Carolina Biotechnology Center. Here...
Space Science Institute
The Space Science Institute has built a website geared toward the constructivist learning approach, which posits that learning entails an active and fluid...
Mathematics Illuminated
Everything (mathematics) is illuminated in this excellent thirteen-part series created by Annenberg Media for adult learners and high school teachers. As their...

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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.
Close up of an insect.
Photo of cells taken under contrast phase inverted microscope.
Reverend Thomas Bayes (1702-1761) was the mathematician who first used probability inductively and established a mathematical basis for probability inference, a means of calculating, from the number of times an event has not occurred, the probability that it will occur in future trials.

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