With these interrelated themes, he aims to push the fundamental limits of learning analytics and AI to revolutionize STEM and online education. His research has been supported by National Science Foundation, Institute of Education Sciences, National Security Agency, Schmidt Family Foundation, Helios Education Foundation, Florida Department of Education and the University of Florida. Dr. Xing directs the AICE lab, standing for Advanced and Inclusive Computing for Education.
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.