Marie Bienkowski, Ph.D., is deputy director of SRI International's Center for Technology in Learning. In this role, she contributes her computer science skill set to multidisciplinary projects in developing and evaluating technology in education. Many of her projects involve efforts to interest underrepresented groups in science, technology, engineering, and mathematics (STEM) careers (with a focus on computer science) and to support teachers in engaging more deeply with STEM content through the involvement of STEM professionals. She has led, and still leads, software research and development projects in the areas of intelligent information management and artificial intelligence applications.
Bienkowski co-authored a 2012 report for the U.S. Department of Education, Enhancing Teaching and Learning though Educational Data Mining and Learning Analytics. It draws on both research results and industry applications to understand what is possible in education and explores challenges and barriers. It gives recommendations for work going forward—not only how to collect, analyze, and visualize data, but also how to help people become smarter consumers of data.
She is also the co-PI of an NSF grant that is developing assessments for the high school computer science curriculum called Exploring Computer Science. She led a study for the National Defense Education Partnership (NDEP) Program to help scientists and engineers lead classroom-based and informal activities. She is studying the National Science Foundation's (NSF’s) investment in increasing the STEM workforce in two evaluations of NSF programs: CISE Pathways to Revitalize Undergraduate Computer Education (CPATH), and Innovative Technology Experiences for Students and Teachers (ITEST). She is also leading a software development task for the U.S. Department of Education to develop a content-based notification system for learning resources.
Prior to joining SRI's Center for Technology in Learning, Bienkowski was a senior computer scientist, and later, director, of SRI's Applied Artificial Intelligence Technology Program.
Bienkowski has a B.S. degree in psychology and computer science from Wayne State University and an M.S. and Ph.D. in computer science from the University of Connecticut.