SBIR/STTR Research Award

SBIR/STTR Phase II: Connecting Science and Mathematics Through Data

Award identifier 8e88849fae24918b8ce73a6122eca978d816a81d656f45143ac93e7c891d0af9Awarding agency National Science Foundation

Award amount

$0

Program and phase

SBIR · Phase I

Award year

2002

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
eeps
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

This Small Business Innovation Research (SBIR) Phase II project creates new technology and materials that emphasize data analysis in science education. Data analysis makes scientific concepts and processes concrete and gives students another way - besides memorization or analytical understanding - to learn quantitative science, often bypassing the need for advanced symbolic mathematics. This project will emphasize physics classes in high school and beyond, where labs are often cookbook demonstrations of phenomena and the data analysis mere verification. The first phase of this research, with the help of new technology, provided evidence those students understanding and competence could be improved beyond their previous capabilities. This project enhances that technology-Fathom Dynamic Statistics Software (KCP Technologies 2000) - to make it more useful in the science classroom, and it develops curriculum materials that use this software. Specifically, the firm will produce complete manuscripts for two supplemental books in physics appropriate for the high-school, AP, or college introductory course: a lab manual and a book of problem sets. In addition, Epistemological Engineering will begin to explore and prototype additional materials in physics, materials for other sciences, and staff development offerings. The proposed research will lead to significant enhancements to Fathom software and open the door to creating curriculum materials in science education using tools previously available only to math educators. Epistemological Engineering proffers technology that will contribute to strengthening science education in this country by teaching students to thoughtfully approach the world with a zest for measurement and prediction

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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