Data science and computational thinking (CT) skills are important STEM literacies necessary to make informed daily decisions. In elementary schools, particularly in rural areas, there is little instruction and limited research towards understanding and developing these literacies. Using a Research-Practice Partnership model (RPP; Coburn &…

Data literacy is a growing area of focus across multiple disciplines in higher education. The dominant forms of introduction focus on computational toolchains and statistical ways of knowing. As data driven decision-making becomes more central to democratic processes, a larger group of learners must be engaged in order to ensure they have a seat…

This brief describes a school's transformation from using ineffective and punitive disciplinary practices to implementing effective and proactive responses to behavior by installing the PBIS framework in a unique setting. Specifically, this demonstration highlights the work of the PBIS school leadership team at the American School for the Deaf…

This research was a mixed-methods study investigating how teachers in northeastern West Virginia use student data to drive their instructional decisions. This study also investigated teachers' perceptions of the data use on their instruction, their students, and themselves. Data collection for this research included both a cross-sectional survey…

The study attempts to know the extent of enrolment, and retention rate of tribal students at upper primary stage and provide a comparative picture of tribal with respect to gender and educational zones of Ganderbal district. Descriptive survey has been used in present study. Using Information Blank, the primary information about student enrolment…

This study evaluated the components of the theory of planned behavior as related to teachers' intentions to use data-informed decision-making (DIDM) when evaluating both student progress and their own instructional practices. Analysis was also conducted to determine if there is any difference in data use between special education/intervention…

Data mining is increasing its popularity in the research of Technology-Enhanced Language Learning and Applied Linguistics in general. It enables a better understanding of progress, performance and possible pitfalls, which would be useful for language learners, teachers and researchers. Until recently it was an unexplored field, but it is expected…

Alignment between K-12 education and the workforce is critical because jobs are changing. Students must be prepared not only for the jobs of today but also for the jobs of the future. Securely linking data between state K-12 and workforce data systems can create a bridge between these agencies as they develop shared career readiness goals for…

This issue brief describes the programs and systems of the MDRC Center for Data Insights. Ranging from simple descriptive summaries to advanced machine learning algorithms, the Center's eight current projects aim to use institutions' increasingly rich data to provide new insights that can help refine and target their client's services: (1)…

Research has begun to show that certain schoolwide characteristics--such as student-centered learning environments, leadership, and safety--can be important for improving student outcomes. In keeping with these insights, school improvement efforts around the country are becoming less narrowly focused on the performance of individual students and…

This report was commissioned by the Global Partnership for Education's Secretariat to take stock of how disability and inclusive education are in included in education sector plans (ESPs) in 51 countries, including GPE-funded programs, such as education sector program implementation grants (ESPIGs), program documents (PADs), implementation…

In this article the authors describe an instructional unit designed and taught in two classes of kindergarten children. The goals of the unit were to present a "driving question" to motivate the process of statistical investigation, to genuinely engage children in the stages of statistical investigation, and to facilitate them in…

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…

When many people hear the term "big data", they primarily think of a technology tool for the collection and reporting of data of high variety, volume, and velocity. However, the complexity of big data is not only the technology, but the supporting processes, policies, and people supporting it. This paper was written by three experts to…

The South Dakota Department of Education (DOE) collects education records from local schools and districts in accordance with federal and state laws and regulations. This policy document establishes the procedures and protocols for accessing, maintaining, disclosing, and disposing of confidential data records, including data records containing…