My dissertation comprises three studies designed to explore nuances of data use in education that presently confound the relationship between variation in teachers' practice of data use and student outcomes: (1) the relationships between different data sources within and across instructional practices; (2) the dimensionality of teachers' practice…

Background: Advocates have endorsed transgender visibility via gender identity (GI) data capture with the advent of the Affordable Care Act and electronic health record (EHR) requirements. Visibility in data in order to enumerate a population contrasts with ways in which other LGBT and public health scholars have deployed these concepts. Aims: The…

This paper reports on the challenges faced by two researchers during data collection and translation of data and analysis in two public sector universities in Pakistan. Data collection from each institute involved different procedures and a different set of issues, including negotiating access with gatekeepers and participants, dealing with…

As universities are undergoing transformations produced by trends towards marketisation, massification, new public management, and 'third mission' of socio-economic impact, higher education (HE) researchers are increasingly concerned with the implications of the HE sector change on academic practice, professional identities, and even wellbeing.…

Learning about probability can pose difficulties for students at all levels. Performing probability experiments using games can encourage students to develop understandings of probability grounded in real events. In this reflective paper, we explore the thinking of a group of students and teachers as they reasoned about experimental and…

Regular attendance is essential to providing students with opportunities to learn. State and local education agencies (SEAs and LEAs) play a crucial role in tracking, measuring, and addressing student attendance. The coronavirus disease (COVID-19) pandemic affected the way that many SEAs and LEAs collect attendance data. This resource highlights…

The effective use of data plays a critical role throughout the policy process -- from accurately capturing populations being served to monitoring and measuring implementation and allocation of resources. In order for data to be used in a manner that supports evidence-based decision-making there is a need for education leaders and policymakers to…

Head Start, the largest early learning program in the United States, provides free federally funded, high-quality early learning for children alongside wraparound supports for parents. Its mission includes helping families achieve self-sufficiency and economic security, such as by helping parents access and succeed in college and workforce…

A commonly used metric for measuring college costs, drawn from data in the Integrated Postsecondary Education Data System (IPEDS), is expenditure per full-time equivalent (FTE) student. This article discusses an error in this per FTE calculation when using IPEDS data, especially with regard to community colleges. The problem is that expenditures…

Ithaka S+R's Research Support Services program's most recent project, "Supporting Big Data Research," focused specifically on the rapidly emerging use of big data in research across disciplines and fields. As part of this study, they partnered with librarians from more than 20 colleges and universities, who then conducted over 200…

Citizen science is transforming the ways scientific knowledge is created, in that citizens participate in active scientific research, and large scientific databases can be accessed online. However, data availability does not guarantee public use or the relevance of these resources. This paper addresses the ways in which non-expert adults involved…

As the competition for student enrollment has increased over the past several years, the pressure on the enrollment manager has increased proportionally. Managing enrollment expectations for institutional stakeholders requires effective communication, leadership, and the sharing of data with effective context. This article provides guidance on how…

This article discusses issues concerning the spread of data-driven educational technologies in Brazil. Here, as elsewhere, educational technology continues to be promoted optimistically as the bearer of a panacea for historically-rooted social problems. Whilst some of these technologies have indeed contributed to important widening-participation…

The field of learning analytics is progressing at a rapid rate. New tools, with ever-increasing number of features and a plethora of datasets that are increasingly utilized demonstrate the evolution and multifaceted nature of the field. In particular, the depth and scope of insight that can be gleaned from analysing related datasets can have a…

Data mining of course enrollment and course description records has soared as institutions of higher education begin tapping into the value of these data for academic and internal research purposes. This has led to a more than doubling of papers on course prediction tasks every year. The papers often center around a single prediction task and…