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Xu Wang is an Assistant Professor in Computer Science and Engineering at the University of Michigan. Xu recently completed her Ph.D. in the Human-Computer Interaction Institute in the School of Computer Science at Carnegie Mellon University, advised by Dr. Ken Koedinger and Dr. Carolyn Rose. She conducts interdisciplinary research within the fields of Human-Computer Interaction, Cognitive Science, Artificial Intelligence and Education. Her Ph.D. dissertation explores techniques using student solutions to semi-automatically generate authentic questions for deblierate practice of higher-order thinking. Her system UpGrade has been used by more than 600 students at CMU. Her work has been published at many top-tier conferences and journals in Human-Computer Interaction and Educational Technologies. Before coming to CMU, she received a Masters in Education from Harvard Graduate School of Education and a Bachelor’s in Science from Beijing Normal University. She has also worked in the User Interface Research Group at Autodesk Research.
研究兴趣
论文共 44 篇作者统计合作学者相似作者
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CoRR (2024)
CoRR (2024): 1686-1687
Proceedings of the ACM on Human-Computer Interaction (2024): 1-33
Vitaliy Popov,Xinyue Chen, Jingying Wang,Michael Kemp,Gurjit Sandhu, Taylor Kantor, Natalie Mateju,Xu Wang
arxiv(2024)
International Computing Education Research Workshoppp.15-26, (2023)
PROCEEDINGS OF THE 2022 ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH, ICER 2022, VOL. 1pp.15-26, (2023)
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PROCEEDINGS OF THE 2023 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2023 (2023)
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