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.
Research DescriptionJanuary 1, 2024, Dr. Lee was named a
Distinguished University Professor of Mathematics and Statistics Education in the STEM Education department at NC State University. She is also a Senior Faculty Fellow at the Friday Institute for Educational Innovation. Her research expertise focues on teaching and learning of probability, statistics, and data science in grades 4-14. She is an expert on the design and use of technology tools to facilitate students’ learning of mathematics and statistics, as well as preparing preservice and inservice teachers to use technology in mathematics (e.g.,
https://www.fi.ncsu.edu/projects/ptmt/). She currently has over 5 million in funding from IES and NSF to support her research, and is the director of the
Hub for Innovation and Research in Statistics Education at the Friday Institute. She collaborates with a strong team of researchers and graduate students at the Friday Institute, as well as faculty, researchers, and technological designers at organizations such as RTI International, Research Matters Inc, University of Georgia, Eastern Michigan University, University of Southern Indiana, Middle Tennessee State University, UNC Charlotte, and Concord Consortium. Hollylynne Lee served as an RTI University Scholar in 2018-2019. Her current work includes developing and implementing online professional development and microcredentials to assist teachers in preparing to teach statistics and data science. See
Amplifying Statistics and Data Science in Classrooms and
Instepwithdata.org.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.