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Hinds, Teri Lyn; Floyd, Nancy D.; Ueland, Jeffrey S. – New Directions for Institutional Research, 2021
In June 2019, Minnesota State set a critical goal: By 2030, eliminate the educational equity gaps at each of the 30 colleges and 7 universities that comprise the system. To achieve the goal of Equity 2030, and empower actors at every level of Minnesota State, system and campus leaders need to fully embrace data democratization. Without access to…
Descriptors: Equal Education, Higher Education, Educational Quality, State Policy
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Engen, Graciela E.; Solverson, Natalie Walleser – New Directions for Institutional Research, 2021
While many campuses have access to and publish equity-focused data, it can be difficult to share that data with the campus community in a way that engages multiple offices. This article outlines the Equity Liaison Initiative at the University of Wisconsin--La Crosse, which engages individuals from most offices on campus with equity-focused data to…
Descriptors: Capacity Building, Equal Education, Data, Data Use
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Johnson, Jeffrey Alan – New Directions for Institutional Research, 2019
Ethical issues are structurally present in the design and choice of data; the interaction between problem, model, and intervention; and the scientism that supports data analytics' claims to authority. In this chapter, I argue against three social assumptions behind common implementations of learning analytics: data realism, technological…
Descriptors: Ethics, Data, Learning Analytics, Realism
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Stevenson, Joseph Martin; Payne, Alfredda Hunt – New Directions for Institutional Research, 2016
This chapter describes how data analysis and data-driven decision making were critical for designing, developing, and assessing a new academic program. The authors--one, the program's founder; the other, an alumna--begin by highlighting some of the elements in the program's incubation and, subsequently, describe some of the components for data…
Descriptors: Urban Schools, Higher Education, Black Colleges, Data
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Rios-Aguilar, Cecilia – New Directions for Institutional Research, 2014
This chapter presents various definitions of big data and examines some of the assumptions regarding the value and power of big data, especially as it relates to issues of equity in community colleges. Finally, this chapter ends with a discussion of the opportunities and challenges of using big data, critically, for institutional researchers.
Descriptors: Community Colleges, Data, Definitions, Equal Education
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González Canché, Manuel S.; Rios-Aguilar, Cecilia – New Directions for Institutional Research, 2014
This chapter discusses the importance of conducting critical social network analysis (CSNA) in higher education. To illustrate the benefits of CSNA, the authors use existing institutional data to examine peer effects in community colleges. The chapter ends with a discussion of the implications of using a CSNA approach to measure inequities in…
Descriptors: Social Networks, Network Analysis, Higher Education, Educational Benefits