Education Policy Analytics Lab

Big Data and Its Applications in Education

Big data has dramatically changed the ways in which leaders make decisions in natural science, business, politics, and education. Examples include longitudinal data systems at federal, state, and local school offices, as well as new sources of data from videos, texts, voices, and large-scale surveys. Our team has been one of the first groups to use both conventional large-scale data and new sources of data to inform educational policy, improve teaching effectiveness, and transform public schools. We use econometrics, causal inference models, social network analysis, text analysis, and linguistic analysis.

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Organizational reform strategies and performance: A textual analysis of strategic actions that turn around persistently underperforming schools

Min Sun (working paper)

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Multi-dimensionality of school effectiveness: Explaining the association of performance level, growth, and disparities

Min Sun, Alec Kennedy, & Eric Anderson (working paper)

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Social network analysis of the influences of educational reforms on teachers’ practices and interactions

Kenneth A. Frank, Yun-Jia Lo, & Min Sun (2014)

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Evaluation of the National Writing Project School Partnership: Report on a social network analysis

Min Sun (2012)

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