This article outlines a three-phase, team-based approach used to analyze qualitative data from a nation-wide needs assessment of access to Veteran Health Administration services for rural-dwelling veterans. The method described here was used to develop the trustworthiness of findings from analysis of a large qualitative data set, without the use…

CCNetwork, in many cases, begins their work by assessing client needs--speaking with clients, examining current evidence and data, reviewing documents, and identifying patterns across those. Needs-sensing methods are important inputs to helping shape and prioritize what CCNetwork does. Landscape scans take these efforts a bit further by helping to…

In the New England area, schools and districts face challenges in recruiting teachers for remote rural schools, offering competitive pay with other industries, particularly for CTE teachers, and declining enrollment in teacher preparation programs. Region 1 Comprehensive Center (R1CC) and Region 2 Comprehensive Center facilitated three virtual…

The link between health and learning is clear: healthy, active and well-nourished children are more likely to attend school, arrive ready to learn and stay engaged in class. Yet far too many students spend their days in schools that do not offer them adequate clean air and water, nutritious food, physical activity and the support of a school…

This chapter identifies some of the challenges surrounding data collection and analysis regarding development students, including testing and identifying academic needs, placement determination, and measuring student outcomes.

Evaluation capacity building (ECB) is an essential element for generating credible and actionable evidence on Extension programs. This paper offers a discussion of ECB efforts in Cooperative Extension and how such efforts enable Extension professionals to collect and use credible and actionable evidence on the quality and impacts of programs.…

More data are collected, analyzed, and stored now than at any other time in history. Data processes play a foundational role in just about every professional discipline, and data stakeholders all over the world are grappling with modernizing and optimizing data governance policies and practices. In this rapidly evolving landscape, what challenges…

Since at least the 1930s, school counselors have used data to inform school counseling programming. However, the evolving complexity of school counselors' identity calls for an updated understanding of the use of data. We offer an expanded definition of data-based decision making that reflects the purpose of using data in educational settings and…

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…

Educators employ different methods of teaching and learning to help their students succeed. One such method is personalized learning, which aims to tailor instruction to the needs, talents, and skills of each individual learner. Rapid advances in technology platforms and digital content over the last decade have enabled more widespread use of…

This tool and its supporting resources are intended to help education leaders understand and assess equitable access data to support a root-cause analysis and, ultimately, draft a State Plan to Ensure Equitable Access to Excellent Educators. The activities in this tool introduce metrics, address staff capacity for analyzing equitable access data,…

Every student, no matter where he or she lives, deserves a great teacher. States, educator preparation programs (EPPs), and K-12 leaders must work together to ensure that all teachers are learner ready on day one in the classroom. But too often, these actors do not have access to the necessary information to fully prepare teachers for the unique…

Intelligent tutoring systems are adaptive learning environments designed to support individualized instruction. The adaptation embedded within these systems is often guided by user models that represent one or more aspects of students' domain knowledge, actions, or performance. The proposed project focuses on the development and testing of user…

The National Forum on Education Statistics convened the Data Disaggregation of Racial/Ethnic Subgroups Working Group to identify best practices for disaggregating data on racial/ethnic subgroups. This guide is intended to identify some of the overarching benefits and challenges involved in data disaggregation; recommend appropriate practices for…

All students deserve a great education, one that affords every opportunity for them to grow into knowledgeable and successful adults. To date, efforts to improve education have operated on a model of mass production, assuming--wrongly--that what works for some students must work for all. To change that model, students and their parents, teachers,…