UM data science projects explore connection between student achievement, well-being

ANN ARBOR—Can Big Data analyses improve classroom achievement and well-being for college students or teaching effectiveness for professors? Researchers at the University of Michigan will explore these questions through two new projects focused on innovative and interdisciplinary applications of learning analytics. Supported by the first round of the Michigan Institute for Data Science (MIDAS) Challenge Initiatives program, the projects bring together teams of researchers from across campus to leverage educational and behavioral data collected from U-M students, and translate it into practical insights on how to improve student outcomes and teaching quality. The two projects are each receiving $1.25 million in MIDAS Challenge Initiatives grants. One of the projects, led by Rada Mihalcea, professor of electrical engineering and computer science, seeks to uncover connections between students’ personal attributes such as…


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