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Vu-Minh Chieu

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Vu-Minh Chieu is an assistant research scientist at the GRIP (Geometry, Reasoning, and Instructional Practices) laboratory, directed by Patricio Herbst at the School of Education. Chieu’s research focuses on personalized learning, intelligent tutoring systems, computer-based simulations, human–computer interaction, and technology-enhanced professional learning. Chieu’s research aims at describing and explaining how theories of learning and instruction can be applied to the design of learning technologies as well as how technologies can be designed to build, test, and refine theories of learning and instruction. Patricio Herbst and Chieu has designed and developed LessonSketch (www.lessonsketch.org), a virtual lab that supports practice-based learning for mathematics teacher development. Chieu and his colleagues has been developing computational models and tools to support the collection of learners’ interaction with LessonSketch and with each other (e.g., their use of resources and tools in LessonSketch, contents they create, and logs of their forum discussions), to analyze the collected data (e.g., analysis of correlations between their use of resources and the quality of their discussions), and to use the analyzed data to inform the design of learning technologies as well as to personalize learning experiences for learners (e.g., the design of software features to improve the quality of forum discussions).

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Timothy McKay

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I am a data scientist, with extensive and various experience drawing inference from large data sets. In education research, I work to understand and improve postsecondary student outcomes using the rich, extensive, and complex digital data produced in the course of educating students in the 21st century. In 2011, we launched the E2Coach computer tailored support system, and in 2014, we began the REBUILD project, a college-wide effort to increase the use of evidence-based methods in introductory STEM courses. In 2015, we launched the Digital Innovation Greenhouse, an education technology accelerator within the UM Office of Digital Education and Innovation. In astrophysics, my main research tools have been the Sloan Digital Sky Survey, the Dark Energy Survey, and the simulations which support them both. We use these tools to probe the growth and nature of cosmic structure as well as the expansion history of the Universe, especially through studies of galaxy clusters. I have also studied astrophysical transients as part of the Robotic Optical Transient Search Experiment.

This image, drawn from a network analysis of 127,653,500 connections among 57,752 students, shows the relative degrees of connection for students in the 19 schools and colleges which constitute the University of Michigan. It provides a 30,000 foot overview of the connection and isolation of various groups of students at Michigan. (Drawn from the senior thesis work of UM Computer Science major Kar Epker)

This image, drawn from a network analysis of 127,653,500 connections among 57,752 students, shows the relative degrees of connection for students in the 19 schools and colleges which constitute the University of Michigan. It provides a 30,000 foot overview of the connection and isolation of various groups of students at Michigan. (Drawn from the senior thesis work of UM Computer Science major Kar Epker)