In this article, we explore how values in education are negotiated and partly redefined by teachers, school leaders and local administrators with data use and accountability. Two dilemmas are prominent for the teachers: 1) Testing and data use are perceived as important to meet the needs of the students and to create transparency and initiating…

It's been nearly 25 years since the first MCAS tests were taken. Since then, the test and the state's accountability system have brought resources to underfunded schools, highlighted inequities in our education system, and pushed Massachusetts to first in the nation in academics. But, with progress stalling, a new understanding of the importance…

Data collected from across the child care and early education (CCEE) field, both during and prior to COVID-19, have been critical in helping policymakers identify and scale public resources to meet the increasing needs of children, families, early educators, and providers. Much of the data collected throughout the global health crisis has shown…

Popular platforms such as Facebook and Twitter integrate third-party apps from developers to enhance the experience of their users. While third-party apps are widely used to provide legitimate functionality, the abuse of third-party apps by attackers is also becoming prevalent. Attackers are abusing third-party apps to orchestrate their malicious…

The use of blended learning in kindergarten K-12 schools in the past decade has seen a dramatic increase, but the research on the effectiveness of blended learning has shown mixed results. However, some schools use blended learning that would be considered successful. The purpose of this study was to explore the lived experience of principals in…

As institutions seek to shift into more advanced analytics and data-based decision-support, many institutional research offices face the challenge of meeting the office's current demands while taking on more intricate and specialized work to support decision-making. Given the great need organizations have for information that supports real-time…

Higher education institutions struggle to demonstrate learning improvement (Banta, Jones, & Black, 2009; Banta & Blaich, 2011; Jankowski, Timmer, Kinzie, & Kuh, 2018). We showcase how student learning outcomes assessment processes can benefit from strong program theory and implementation fidelity data. In our example, faculty…

Secondary schools in New Zealand use assessment data for school self-evaluation, but little research has explored exactly how schools are using these data. This case study of selected high schools explored the perspectives of teachers and school leaders whose schools had recently implemented a student assessment tracking and monitoring…

Background/Context: Teachers' practice of interim assessment data use is subject to an array of individual, social, and organizational contextual factors. While contemporary research situates interim assessments within teachers' broader practice of data use, teachers do not make sense of interim assessment data in isolation. This…

In large-scale assessments, performance differences across different groups are regularly found. These group differences (e.g., gender differences) are often relevant for educational policy decisions and measures. However, the formation of these group differences usually remains unclear. We propose an approach for investigating this formation by…

Constructing scientific arguments is an important practice for students because it helps them to make sense of data using scientific knowledge and within the conceptual and experimental boundaries of an investigation. In this study, we used a text mining method called Latent Dirichlet Allocation (LDA) to identify underlying patterns in students…

The synergies that result from synthesising conceptual models and findings from self-regulated learning and formative assessment research are launching a new era of scholarship. They drive new questions about how to help students to internalise complimentary self-regulatory and assessment knowledge, skills, and dispositions as well as how to…

The analysis of multiple data streams is a long-standing practice within educational research. Both multimodal data analysis and temporal analysis have been applied successfully, but in the area of collaborative learning, very few studies have investigated specific advantages of multiple modalities versus a single modality, especially combined…

We are experiencing a significant shift in management practices--moving from intuition, experience, and gut-feeling driven decision-making to one that is driven by data, evidence, and computational sciences. This shift, which is often called the "analytics revolution," is not only changing the business landscape from a practical…

Using data from a national survey of school psychologists we investigated (a) the extent to which school psychologists supported students' social-emotional and behavioral well-being using data and evidence-based practices programming, (b) how facilitators and barriers impacted school psychologists' service delivery in these areas, and (c) how…