Sam Wang, Ph.D., an education researcher, has extensive quantitative research experience in education. He specializes in planning, designing, and conducting rigorous mixed-methods research to evaluate educational interventions in STEM (science, technology, engineering, and mathematics) education.
The overriding goal of Wang’s research is to document and understand successful STEM learning and ultimately to develop evidence-based principles for STEM education. Wang is currently a quantitative lead for studies of the effectiveness of online instructional systems/resources to (1) promote STEM learning among secondary and postsecondary students, (2) boost college access and student success, and (3) improve basic literacy and numeracy skills among low-skilled adults. His work has appeared in a number of peer-reviewed education research journals, such as Computers & Education, Development and Psychopathology, International Journal of Science Education, and Journal of Research in Science Teaching.
Wang received his Ph.D. in educational psychology and M.S. in statistics from the University of Illinois at Urbana-Champaign, where he used advanced statistical models to address complex data structures and taught both graduate and undergraduate statistical courses. Wang also served as a statistical consultant, providing recommendations on faculty members’ and graduate students’ scholarly work.