SBIR Phase II: Connecting Science and Mathematics Through Data

这个小企业创新研究（SBIR）第二阶段项目创造了新的技术和材料，强调科学教育中的数据分析。数据分析使科学概念和过程具体化，并为学生提供了除了记忆或分析理解之外的另一种学习定量科学的方法，通常绕过了对高级符号数学的需要。这个项目将强调高中及以后的物理课程，在那里，实验室通常是现象的示范，数据分析只是验证。本研究的第一阶段，在新技术的帮助下，提供了证据，证明学生的理解和能力可以比以前的能力得到提高。本项目对fathom动态统计软件（KCP Technologies 2000）进行了改进，使其在科学课堂上更有用，并开发了使用该软件的课程材料。具体来说，该公司将为两本适用于高中、AP或大学入门课程的物理补充书提供完整的手稿：一本实验手册和一本习题集。此外，认识论工程将开始探索和原型物理，其他科学材料和员工发展产品的额外材料。拟议中的研究将显著增强Fathom软件，并为使用以前只有数学教育者才能使用的工具创建科学教育课程材料打开大门。认识论工程提供的技术将有助于加强这个国家的科学教育，教学生带着对测量和预测的热情深思熟虑地接近世界。

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.