As the availability of high-throughput data-collection technologies, such as information-sensing mobile devices, remote sensing, internet log records, and wireless sensor networks has grown, science, engineering, and business have rapidly transitioned from striving to develop information from scant data to a situation in which the challenge is now…

The January 2020 60-Second Survey was designed to serve two purposes: (1) to benchmark institutional-level use of enrollment management and strategic enrollment management (SEM) plans; and (2) gather individual interest in enrollment management research (Appendix A). The survey was open to all American Association of Collegiate Registrars and…

This publication provides a summary of data relating to students, programs, subjects, and training providers in Australia's government-funded vocational education and training (VET) system (defined as Commonwealth and state/territory government funded training). This is the first time that government-funded data from one quarter is compared with…

The purpose of this study was to fill the gap in statewide information about teacher professional development opportunities in Oklahoma and compare the opportunities in rural and nonrural schools. The Regional Educational Laboratory Southwest, along with members of the Oklahoma Rural Schools Research Alliance, developed a survey that measured how…

This factsheet provides provisional information on the incidence of apprenticeships in England using information between 2010/11 and 2014/15 from the Individualised Learner Record (ILR) and Employer Data Service (EDS) further matched to the Inter-Departmental Business Register (IDBR). Specifically, it presents the number of apprenticeship starts…

This publication presents estimates of apprentice and trainee activity in Australia for the December quarter 2016. The figures in this publication are derived from the National Apprentice and Trainee Collection no.91 (March 2017 estimates). The most recent figures in this publication are estimated (that is, for training activity from the June…

This tool and its supporting resources are intended to help education leaders understand and assess equitable access data to support a root-cause analysis and, ultimately, draft a State Plan to Ensure Equitable Access to Excellent Educators. The activities in this tool introduce metrics, address staff capacity for analyzing equitable access data,…

This chapter is about using campus diversity data to inform student affairs work.

In 2013 this journal published the paper 'Integrity in Higher Education Marketing: A typology of misleading data-based claims in the university prospectus.' It argued that UK universities were using data and statistics in a misleading way in their advertising and proposed a nine-part typology to describe such claims. The present paper describes…

This publication provides a summary of data relating to students, programs, subjects, and training providers in Australia's government-funded vocational education and training (VET) system. This is broadly defined as all activity delivered by government providers and government-funded activity delivered by community education and other registered…

Head Start is a national program that helps young children from families with low incomes get ready to succeed in school. It does this by working to promote their early learning and health and their families' well-being. The Head Start Family and Child Experiences Survey (FACES) provides national information about Head Start programs and…

This report highlights significant investments made by both Republican and Democratic policymakers in state-funded pre-k programs for the fourth year in a row. In the 2015-16 budget year, 32 states and the District of Columbia raised funding levels of pre-k programs. This increased support for preschool funding came from both sides of the…

We used data simulations to test whether composites consisting of cohesive subtest scores are more accurate than composites consisting of divergent subtest scores. We demonstrate that when multivariate normality holds, divergent and cohesive scores are equally accurate. Furthermore, excluding divergent scores results in biased estimates of…

In this article, the author argues that student data is more than just test scores. Alex Kajitani notes that data matter because they provide crucial information to teachers that enable them to better serve their students. Teachers can use data to determine students' strengths and areas of need. The effective use of data means being able to…

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…