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Xu Wang is an Assistant Professor in the Computer Science and Engineering Department at the University of Michigan, with a courtesy appointment in the School of Information. His research focuses on developing advanced techniques for intelligent tutoring systems aimed at enhancing scalable expertise sharing and efficient skill development for novice learners. Notable highlights of his work include the demonstration of learning benefits from multiple-choice questions, specifically the use of student solutions to generate authentic questions that exercise higher-order thinking. He has created expertise-aware learning technologies that enable users to share expertise and collaborate effectively with artificial intelligence. Xu's contributions have been recognized with several awards including the NSF CAREER award and multiple paper honorable mention awards at prestigious conferences such as CSCW and CHI. He earned his Ph.D. from the Human-Computer Interaction Institute at Carnegie Mellon University and holds a Master's degree in Education from Harvard Graduate School of Education and a Bachelor's degree in Science from Beijing Normal University.
Autodesk Research • Ann Arbor, MI
Worked in the User Interface Research Group focusing on innovative design and technology solutions.
Department of Electrical Engineering and Computer Science