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Mitchell J. Nathan is a professor of learning sciences in the Department of Educational Psychology at the University of Wisconsin-Madison. Prof. Nathan received his Ph.D. in experimental (cognitive) psychology. He also holds a B.S. in electrical and computer engineering, mathematics and history. He has worked in research and development in artificial intelligence, computer vision and robotic mobility, including: design and development of autonomous robotic arms and vehicles; the development of expert systems and knowledge engineering interview techniques; and the representation of perceptual and real-world knowledge to support inference-making in dynamic environments. Nathan also has worked on computer-based tutoring environments for mathematics education that rely heavily on students' own comprehension processes for self-evaluation and self-directed learning (so-called unintelligent tutoring systems). Prof. Nathan directed the IERI-funded STAAR Project, which studied the transition from arithmetic to algebraic reasoning. He is currently Co-PI for the AWAKEN Project, which documents how people learn and use engineering, and Co-PI for the National Center for Cognition and Mathematics Instruction. He has affiliate appointments in the Department of Curriculum & Instruction, the Department of Psychology, the Wisconsin Center for Education Research, and the Center on Education and Work.