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…

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…

Beginning at a local two-year college and then transferring to a four-year institution has been one of the most affordable ways for students to earn a bachelor's degree. Yet transfer pathways from two- to four-year institutions are often complex and confusing, and too many students who begin at a community college and aspire to earn a bachelor's…

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…

This is a critical time to understand the benefits and risks of educational research using large data sets. Massive quantities of educational data can now be stored, analyzed, and shared. State longitudinal data systems can track individual students from pre-K through college and work. Districts and schools keep detailed data on individual…

This Fordham study, conducted by learning technology researcher June Ahn from NYU, dives into one of the most promising-and contentious-issues in education today: virtual schools. What type of students choose them? Which online courses do students take? Do virtual schools lead to improved outcomes for kids? With over thirty-five thousand students…

The recent significant increase in student loan delinquencies has generated interest in understanding the key factors predicting the non-performance of these loans. However, despite the large size of the student loan market, existing analyses have been limited by lack of data. This paper studies predictors of student loan delinquencies using a…