Author Jason Williams develops a framework that balances data-based decision making with a deep consideration for addressing students' unique needs to foster improved learning outcomes. Focusing on five qualities integral to a healthy data culture, Williams offers educators a simple, reliable way to assess and reconsider their data practices to…

The use of artificial intelligence (AI) in higher education has mostly focused on issues associated with teaching and assessment. In this paper I used AI to support the analysis of data which consisted of public comments on a newspaper article. This small, low risk research was chosen to demonstrate the potential use of AI and how it may support…

In today's data-driven and data-informed educational landscape, leaders face increasing pressure to make decisions and present results based on what appear to be comprehensive statistical analyses. However, the ethical implications of these responsibilities can be complex, particularly when statistical results carry the potential to be…

The U.S. Department of Education has required educational collection and reporting. For postsecondary institutions, this requirement has evolved from the Higher Education General Information Survey (HEGIS), which was used from the 1960s to the 1980s, to the Integrated postsecondary Education Data System (IPEDS) (Aliyeva, Cody, & Low, 2018).…

Because learning from failures is just as important as learning from successes, we used qualitative case study data gathered in the Netherlands and the United States to examine instances in which data teams struggle to contribute to school improvement. Similar factors in both the Dutch and U.S. case hindered the work of the data teams, such as…

Data showing what students earn after attending higher education institutions have become increasingly available, bolstering calls from policymakers and advocates that government financial aid programs should be tied to those outcomes. Often overlooked, however, is that these data and policies usually reflect the earnings of only students who…

Transparency is once again a central issue of debate across types of qualitative research. Work on how to conduct qualitative data analysis, on the other hand, walks us through the step-by-step process on how to code and understand the data we've collected. Although there are a few exceptions, less focus is on transparency regarding…

This article presents a descriptive, critical analysis of the comparability of information concerning students, teachers, and school resources gathered by organisations within government jurisdiction, and the pitfalls for the unwary researcher using government data banks. Differences in the method of compiling information about citizens, and…

Systematic reviews have witnessed significant growth across many fields, including education. In this article, we outline the background of this growth, highlight the tendency to focus on methodological considerations, and propose a framework to support education researchers in preparing systematic reviews with broad impact. We draw on our…

The Education Insights Center produced a series of reports culminating in recommendations for the structure and governance of a preschool through higher education and into the workforce (known as a P20W data system). This brief follows up on that series, with a focus on data quality; the brief was informed by the author's experience using…

This policy analysis examined the intersection of a statistical model and locus of control to recommend an accountability model that best upholds the criteria of equity, efficacy, and impact on student learning for Missouri schools. Using Eugene Bardach's eightfold path and informed by the quality education in schools framework, this analysis…

The 2020 election brought about legislative change across the country. New and veteran policymakers need information about the schools in their state. What programs are the most cost effective and work best for students? How can states attract and retain great teachers? What information do parents need to ensure that their kids are on track to…

By partnering with researchers, state CTE administrators have the opportunity to better understand CTE programming and practices across their states. This is the fourth in a series of six practitioner training modules developed as part of the Career & Technical Education (CTE) Research Network Lead. Designed for CTE practitioners and state…

This paper examines processes of datafication in early childhood education (ECE) settings for children from birth-five years in England and how this relates to increased formalisation. Unusually, ECE in England includes a standardised curriculum and formative and statutory assessments; thus it has been described as subject to both datafication and…

Drawing upon recent theorising of numbers and data, and applications to schooling, this paper reveals how tensions between more accountability-oriented logics, and more contextually-situated conceptions of engagement with data, played out in one school in a regional community in northern Queensland, Australia. The research reveals that at the same…