Understanding students' learning of knowledge components (KCs) is an important educational data mining task and enables many educational applications. However, in the domain of computing education, where program exercises require students to practice many KCs simultaneously, it is a challenge to attribute their errors to specific KCs and,…

"The Forum Guide to Strategies for Education Data Collection and Reporting (SEDCAR)" was created to provide timely and useful best practices for education agencies that are interested in designing and implementing a strategy for data collection and reporting, focusing on these as key elements of the larger data process. It builds upon…

Because data-informed decision-making (DIDM) can help teachers meet diverse learners' needs (van Geel et al., 2016), educator preparation programs (EPPs) must ensure that preservice teachers (PSTs) develop the data literacy skills needed for effective data use. However, little is known about the ways in which EPPs work towards building PSTs' data…

In today's educational landscape, state and local educational agencies (SEAs and LEAs) often experience challenges connecting large-scale accountability data with actual school improvement initiatives. These challenges tend to be rooted in incoherent design and use of data systems for continuous improvement. As we aim to support SEAs in…

Research information management (RIM) is a rapidly growing area of investment in US research universities. RIM systems that support the collection and use of research outputs metadata have been in place for many years. Globally, the RIM ecosystem is quite mature in locales where national research assessment exercises like the United Kingdom's…

Research Information Management (RIM) is a rapidly growing area of investment in US research universities, comprised of a variety of use cases, stakeholders, and products. This growth has been characteristically decentralized, resulting in silos, multiple systems, and frequent duplication of efforts at many institutions. This report is a two-part…

National interest in using school climate as an accountability measure makes it important to understand how school leaders view and make use of school climate data. The purpose of this study was to investigate how school and district administrators use climate data in Virginia, where a statewide school climate survey is annually administered.…

The Civil Rights Data Collection (CRDC), formerly known as the Elementary and Secondary School Civil Rights Survey, is a part of the U.S. Department of Education's (ED's) Office for Civil Rights (OCR) strategy for administering and enforcing civil rights laws in U.S. public school districts and schools, including Puerto Rico.The CRDC collects a…

A commonly used metric for measuring college costs, drawn from data in the Integrated Postsecondary Education Data System (IPEDS), is expenditure per full-time equivalent (FTE) student. This article discusses an error in this per FTE calculation when using IPEDS data, especially with regard to community colleges. The problem is that expenditures…

National failure rates seen in undergraduate introductory CS courses are quite high. In this paper, we develop a predictive model for student in-class performance in an introductory CS course. The model can serve as an early warning system, flagging struggling students who might benefit from additional support. We use a variety of features from…

Strategy and research are essential parts of strategic enrollment management (SEM), yet little information exists regarding how to use research and predictive analytics for effective strategy. It is often easier to react to what is happening in the moment, rather than be proactive in predicting the future or developing long-term plans. This…

Data-based instruction (DBI) is a process in which teachers use progress data to make ongoing instructional decisions for students with learning disabilities. Curriculum-based measurement (CBM) is a common form of progress monitoring, and CBM data are placed on a graph to guide decision-making. Despite the central role that graph interpretation…

The "Forum Guide to Data Governance" highlights how data governance programs benefit education agencies and provide timely and useful best practices, examples, and resources for agencies implementing or updating their data governance programs. This resource is intended to address the needs of federal, state, and local agencies related…

Following a set of state meetings held throughout fall 2020, the Virginia Education Assessment Collaborative (VEAC) decided to offer a mini-conference in November 2020 to round out offerings and to buttress conversation around topics of high need and interest to Educator Preparation Providers (EPPs). Leveraging the familiar process of the…

The 2020 General Assembly directed the State Council of Higher Education for Virginia (SCHEV) to develop a plan for implementing a statewide survey of institutional expenditures by program and academic discipline at Virginia's public higher education institutions, and submit a report and recommendations to the Governor and the Chairs of the House…