Determining whether a state's young people are on track for a life of opportunity is a difficult task for governors and state leaders. States can be both awash in data and unable to easily access and use that data to inform policy. State longitudinal data systems that meaningfully connect workforce, higher education, K-12, and early childhood…

This institutional survey research was used to improve administrative policies at International Montessori Center (IMC), a private international kindergarten in Bangkok, Thailand. The main goal of the study was to gather input from school stakeholders regarding daily conditions and functions, with the ultimate goal of improved administrative…

Data governance is a core obligation for leaders and staff across any agency that collects, stores or uses individuals' data. It ensures that individuals' personal information is protected, and can support the continuous improvement of data quality and use, particularly when it includes well-defined processes, structure and responsibilities.…

The profound advancements in technology have rendered novel forms of data and data visualisation increasingly accessible to individuals within society, thereby influencing daily decision-making processes. To address this change, this study sets out to review recent research on data-driven inquiries at the K-12 level from two perspectives:…

Authentic, "messy data" contain variability that comes from many sources, such as natural variation in nature, chance occurrences during research, and human error. It is this messiness that both deters potential users of authentic data and gives data the power to create unique learning opportunities that reveal the nature of science…

In this article, Amanda Williford, Jason Downer, Kate Miller-Bains, Jenna Conway, and Lisa Howard tell us how a university research center, an early education advocacy group, and a state department of education joined forces in a research-practice partnership to develop and implement a more comprehensive assessment of young Virginia children's…

This series of rapid briefs is being developed by the Wisconsin-Minnesota Comprehensive Center - Region 10 (WMCC10). The purpose of these briefs is to provide succinct and timely guidance on best practices for schools and school-based early learning programs regarding the assessment of student learning, with the goal of informing instructional…

A significant number of U.S. students are unable to read proficiently by fourth grade, and over two billion dollars are spent each year on students who repeat a grade due to reading problems. The purpose of this basic qualitative study was to examine novice elementary teachers' perspectives of their self-efficacy in using adaptive instructional…

Determining whether a state's young people are on track for a life with opportunity is a critical -- but diffcult -- task for governors and state leaders. States can be both awash in data and unable to easily access and use that data to inform policy. State longitudinal data systems that meaningfully connect workforce, higher education, K-12, and…

Every year, children enter PreK and kindergarten with varied early education experiences, and the COVID-19 pandemic has heightened the problem. The need to respond to students' changing situations gives school districts and states an opportunity to reconsider how they are helping children and their families make the transition into kindergarten.…

Current teacher preparation programs have received scrutiny for failing to sufficiently support teachers in valuing and developing their knowledge of data literacy. The current study explores a collaborative approach to increasing pre-service teachers' experiences with data literacy by including under-utilized data experts: school psychologists.…

Propelled by accountability policies, leaders have touted data-driven decision making as a means to improve K-12 student outcomes and drive equity, as teachers analyze data to change instruction. However, many data-driven decision-making reforms have failed to challenge inequity. Melanie Bertrand and Julie Marsh's study of six middle schools shows…

Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…

Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…

Based on the recommendations of the K-3 Assessment Think Tank, an assessment design team consisting of current and former educators and early childhood education scholars developed a kindergarten entry formative assessment (KEA) which was piloted in 193 classrooms during the first 60 instructional days of the 2014-2015 academic year. North…