Postsecondary Programs & Pathways

Dr. Rachel (Ray) Levy is an award-winning writer, researcher, and educator who has dedicated her career to making mathematical modeling, data science, and AI belong to everyone. As the inaugural leader of the Data Science Academy, She incubates data science research partnerships within NC State, across NC and beyond, leads the design and implementation of the DSA’s ADAPT course model (All-Campus Data Science Accessible Project Based Teaching and Learning), and communicates about data science with national and international audiences.

Dr. Lee has been at NC State since 2000. Her research interests include teaching and learning of probability, statistics, and data science, especially incorporating technology use and designing technology environments that facilitate students’ learning. She situates her work in educational design in order to provide the best learning opportunities for students in K-12, her university students, and educators around the world that engage with her in online professional development.

Dr. Lee was appointed to the planning committee for the National Academies convening on Foundations of Data Science for Students in K-12, held in Washington, DC September 13-14, 2022. At the convening she led a panel on issues in teacher education for K-12 data science.

Dr. Jones studies ways of supporting students to use mathematics and science to construct and revise knowledge. He has conducted research that focuses on measuring the extent to which whole class discussions in middle grades classrooms support students to examine epistemological aspects of various statistical properties, worked on interdisciplinary teams to create innovative technologies for teachers and students in middle grades math classes, helped to develop new tools for assessing nuanced ways of thinking in middle grades students, and has developed frameworks and curricular approaches for interdisciplinary STEM learning environments organized around data modeling practices.

Dr. Gamble is the Weatherford Chair of Finance and former Director of the Data Science Institute at MTSU. He teaches undergraduate and graduate courses in finance, economics, and data science. He currently leads an Initiative on Artificial Intelligence (AI) to bring MTSU faculty, staff, and the community to the forefront of the AI revolution.

Louis Rocconi is an Associate Professor in the Evaluation, Statistics, and Methodology program at the University of Tennessee, Knoxville. His research focuses on empowering researchers and practitioners to utilize statistical methods effectively. He has published more than 40 peer‑reviewed articles on topics such as regression to the mean, multilevel modeling, instrument development and validation, survey methodology, and the creation of analytic tools for applied researchers.

Joshua M. Rosenberg is an Associate Professor of STEM education and a Faculty Fellow for the Center for Enhancing Education in Mathematics and Sciences at the University of Tennessee, Knoxville. He studies the use of data in education, especially in STEM education contexts. Specifically, he works in the context of two disciplines: educational data science, a research methods-focused discipline using newer data sources and methods to study teaching, learning, and educational systems, and data science education, a discipline focused on supporting educators and learners to use digital data sources and technologies.