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Enhancing Undergraduate Learning with Information Technology reports on a meeting of scientists, policy makers, and researchers convened to discuss new approaches to undergraduate science, mathematics, and technology education. The goal of the workshop was to inform workshop participants and the public about issues surrounding the use of information technology in education. To reach this goal, the workshop participants paid particular attention to the following issues: What educational technologies currently exist and how they are being used to transform undergraduate science, engineering, mathematics, and technology education; What is known about the potential future impact of information technology on teaching and learning at the undergraduate level; How to evaluate the impact of information technology on teaching and learning; and What the future might hold.

The Big Data movement and the renewed focus on data analytics are transforming everything from healthcare delivery systems to the way cities deliver services to residents. Now is the time to examine how this Big Data could help build smarter universities. While much of the cutting-edge research that is being done with Big Data is happening at colleges and universities, higher education has yet to turn the digital mirror on itself to advance the academic enterprise. Institutions can use the huge amounts of data being generated to improve the student learning experience, enhance research initiatives, support effective community outreach, and develop campus infrastructure. This volume focuses on three primary themes related to creating a smarter university: refining the operations and management of higher education institutions, cultivating the education pipeline, and educating the next generation of data scientists. Through an analysis of these issues, the contributors address how universities can foster innovation and ingenuity in the academy. They also provide scholarly and practical insights in order to frame these topics for an international discussion.