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Sundt, Melora A.; Cole, Darnell; Wheaton, Marissiko – New Directions for Student Services, 2017
This chapter is about using campus diversity data to inform student affairs work.
Descriptors: Statistical Data, Information Utilization, Student Diversity, Student Personnel Services
State Longitudinal Data Systems: Worth the Legislative Investment to Connect Workforce and Education
Anne Wicks; Amanda Wirtz – George W. Bush Institute, 2024
Determining whether a state's young people are on track for a life of opportunity is a difficult task for governors and state leaders. States can be both awash in data and unable to easily access and use that data to inform policy. State longitudinal data systems that meaningfully connect workforce, higher education, K-12, and early childhood…
Descriptors: State Legislation, Data Analysis, Learning Analytics, Information Systems
Méndez-Carbajo, Diego; Asarta, Carlos J. – Journal of Economic Education, 2017
In this article, the authors discuss the use of Federal Reserve Economic Data (FRED) statistics to teach the concept of price elasticity of demand in an introduction to economics course. By using real data in its computation, they argue that instructors can create a value-adding context for illustrating and applying a foundational concept in…
Descriptors: Economics Education, Teaching Methods, Supply and Demand, Concept Teaching
Rankin, Jenny Grant – Online Submission, 2016
Even before Florence Nightingale diagrammed soldiers' changing mortality rates to save lives, we have seen clever design used to convey statistics and other complex concepts. In the field of education, student data is used extensively, and those who share such data need to ensure this communication is effective. This article is based on education…
Descriptors: Information Utilization, Educational Research, Best Practices, Student Records
Barra, Cristian; Zotti, Roberto – Tertiary Education and Management, 2017
The main purpose of the paper is to estimate the efficiency of a big public university in Italy using individual student-level data, modeling exogenous variables in human capital formation through a heteroscedastic stochastic frontier approach. Specifically, a production function for tertiary education has been estimated with emphasis on…
Descriptors: Efficiency, School Statistics, Student Records, Information Utilization
McIntosh, Kent; Ellwood, Kathleen; McCall, Lisa; Girvan, Erik J. – Intervention in School and Clinic, 2018
There is a longstanding and pressing challenge regarding overuse of exclusionary discipline (e.g., office discipline referrals, suspensions) for students of color and students with disabilities. Moreover, many common efforts to address the problem have not been shown to enhance equity in school discipline. This article describes a promising…
Descriptors: Discipline Policy, Discipline, Referral, Suspension
Lonn, Steven; McKay, Timothy A.; Teasley, Stephanie D. – New Directions for Higher Education, 2017
This chapter details the process the University of Michigan developed to build institutional capacity for learning analytics. A symposium series, faculty task force, fellows program, research grants, and other initiatives are discussed, with lessons learned for future efforts and how other institutions might adapt such efforts to spur cultural…
Descriptors: Institutional Characteristics, Statistical Data, Data Analysis, Capacity Building
Smith, Rebecca – Discourse: Studies in the Cultural Politics of Education, 2017
Using document analysis, this paper examines the historical emergence of the quantified child, revealing how the collection and use of data has become normalized through legitimizing discourses. First, following in the traditions of Foucault's genealogy and studies examining the sociology of numbers, this paper traces the evolution of data…
Descriptors: Educational History, Educational Trends, Student Records, Statistical Data
Data Quality Campaign, 2016
All students deserve a great education, one that affords every opportunity for them to grow into knowledgeable and successful adults. To date, efforts to improve education have operated on a model of mass production, assuming--wrongly--that what works for some students must work for all. To change that model, students and their parents, teachers,…
Descriptors: Statistical Data, State Policy, Information Utilization, Decision Making