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Math Videos Captioned and Signed in ASL:...
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This is one video in the series of lessons on math provided by DeafTEC. Gary Blatto-Vallee, a math and science instructor at the National Technical Institute for the Deaf, guides viewers through a variety of mathematical exercises in this DeafTEC video series. All lessons are fully captioned, signed in ASL, and voiced. In this 13:53 video, the third of four parts, Blatto-Vallee uses an electronic whiteboard to show several examples of factoring trinomials. See the main Math Video Resources page for an introduction to this video series.
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Mathematics for Game Developers
Students interested and engaged in game development careers are often students who are underprepared for direct entry into a Calculus sequence. Students who are...
Inherited Traits Lesson
This lesson from the STEM Action Center - Utah covers inherited traits. The lesson is intended for 3rd graders and includes the aligning UT SEEd Standard. There...
Cold Air Pool Lesson
This lesson from the STEM Action Center - Utah explores how a cold air pool develops due to the mountains surrounding Utah valleys. Through the lesson, students...
Push or Pull Lesson
This lesson from the STEM Action Center - Utah explores forces and motions at a kindergarten level. An activity worksheet is provided, which includes ...
Making a Makerspace
This lesson from the STEM Action Center - Utah describes how educators can create a Makerspace to provide lessons on basic circuitry and augmented reality. The...



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AMSER is a portal of educational resources and services built specifically for use by those in Community and Technical Colleges but free for anyone to use.

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.
Drawing tools for mathematics.
The underbelly of a mushroom.
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Data Mining, one of the emerging fields to consider according to the Society for Industrial and Applied Mathematics, deals with "the discovery of patterns and previously unknown information in large data sets."


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