Exploratory data analysis (EDA), data visualization, and visual analytics are essential for understanding and analyzing complex datasets. In this project, we explored these techniques and their applications in data analytics. The case discusses Tableau, a powerful data visualization tool, and Google BigQuery, a cloud-based data warehouse that…

Utilizing popular murder-mystery texts that transcend boundaries of race, class, age, and sex, students apply Toulmin's 1958 concept of claim, data, warrant (Toulmin, S. E. 2003. The uses of argument. Cambridge University Press). Ultimately, students engage in an activity that demonstrates how argumentation plays a role outside of the college…

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…

Developing a solid foundational knowledge of data literacy is integral to building role-specific knowledge and building capacity of educators to use and apply these skills appropriately. However, the definition of data literacy is inconsistent and often too narrowly applied within the field of education. National experts and technical assistance…

This guide provides information and best practices that will help state education agencies (SEAs) and local education agencies (LEAs) manage data related to students who frequently change schools, with a focus on actions to minimize student learning disruptions and allow agencies to provide support for those particular students. This document…

The value of data is increasingly recognized by organizations and programs, including Individuals with Disabilities Education Act (IDEA) Part C and Part B 619 programs. Data can help Part C and Part B 619 program coordinators, data managers and staff improve outcomes for children and families by strengthening their understanding of the needs of…

In spring 2020, nearly all school districts across the nation transitioned to virtual education during extended school closures caused by the coronavirus disease (COVID-19) pandemic. K-12 education agencies pivoted to virtual education in a short amount of time with limited options available for developing a virtual education program. This…

The need for a comprehensive education data governance -- the regulation of who collects what data, how it is used and why -- continues to grow. Technologically, data can be collected by third parties, rendering schools unable to control their use. Legal frameworks partially achieve data governance as businesses continue to exploit existing…

The purpose of the DaSy Data System Framework (referred to as DaSy framework) is to assist Part C (Early Intervention) and Part B (School-Aged) 619 programs in developing and enhancing high-quality state data systems for the collection, analysis, reporting, and use of their Individuals with Disabilities Education Act (IDEA) data. The DaSy…

Data systems are becoming powerful tools to address students' diverse and changing needs, but without comprehensive data privacy policies, the risks of unintentional or malicious disclosures of students' private information is increasing. Given the mounting challenges to protect data privacy, Education Commission of the States assembled data…

In 2024, state legislators introduced hundreds of bills that would affect data collection, access, and use across early education, K-12, postsecondary, and the workforce. As in 2023, legislators continued to introduce and enact legislation governing cross-agency data systems. These policies are the most important step toward making statewide…

International large-scale assessments (ILSAs) transitioned from paper-based assessments to computer-based assessments (CBAs) facilitating the use of new item types and more effective data collection tools. This allows implementation of more complex test designs and to collect process and response time (RT) data. These new data types can be used to…

Expanded learning intermediaries are nonprofit organizations dedicated to making after-school and summer programs better and more accessible for children and youth. They do this by coordinating efforts and resources in a given community, knitting programs together into a cohesive system, helping individual programs function at a high level, and…

In 2019, Nebraska Indian Community College (NICC) joined the National Student Clearinghouse Postsecondary Data Partnership (PDP). This technical brief will discuss an approach to prepare Postsecondary Data Partnership (PDP) data collections that consist of the development of both term cohort files and course files. The process utilized course and…

This brief provides a definition of an integrated data system, identifies who would benefit from the information provided by an integrated data system, and examines the challenges and costs associated with data integration, as well as potential benefits to creating an integrated data system. [The Center for the Integration of IDEA Data (CIID) is…