This project addresses a major educational barrier, namely that rural students are less likely to choose a major in STEM and have far less access to advanced STEM courses taught by highly qualified teachers. The LogicDataScience (LogicDS) curriculum and virtual delivery are expected to relieve the resource constraints significantly and thus reach rural students. The strategy behind this curriculum development for data science explores the utility of emphasizing how the foundations of data science in computing, mathematics, and statistics are unified by mathematical logic. The project is studying the impacts of the new curriculum on students’ learning of computing, mathematics, and statistics.
This project is developing and testing a website, software application, and supplemental instructional materials that use publicly accessible genomics data to foster scientific inquiry among high schools students. Outcomes for students and teachers include developing knowledge, skills, and understandings related to genetic inheritance; data investigation and analysis; the process of scientific inquiry; and collaboration.