Yang Jiang is a research scientist in the Research & Development division at ETS. She received a Ph.D. in cognitive science in education from Teachers College, Columbia University in 2018. She previously received an M.S. in applied statistics from Columbia University, an Ed.M. in technology, innovation, and education from Harvard University, and a B.A. in journalism and communication from Shanghai International Studies University.
Her research focuses on the design and evaluation of technology-based curriculum and assessments as tools to facilitate learning. By developing and applying educational data mining and learning analytics techniques, she investigates how learners interact with technology-based assessments and learning systems, and how the interactions are related to cognition and learning. In addition to her research experience, she has worked as a K-12 math teacher in a charter school and an instructional designer in an educational publisher.
She has leveraged her knowledge of theories in cognitive psychology and learning science, her expertise in data science and modeling, and her experience in teaching and instructional design to support her work at ETS. Her research at ETS has focused on the development and application of data science techniques on process data obtained from large-scale educational assessments and learning systems, including the NAEP Digitally Based Assessments, to understand test-taking and learning behaviors and cognitive processes and strategies. She has served as a regular reviewer for several academic journals and as a program committee member and reviewer for multiple international conferences.