Students, families, colleges, and lawmakers need clearer information on postsecondary outcomes to make informed decisions. By leveraging data available at institutions and federal agencies, a nationwide student-level data network (SLDN) would close information gaps that persist in our higher education landscape to answer critical questions about…

In this conceptual paper, we map the research terrain on what we term "student-involved data use" (SIDU)--that is, the practice of having students track, chart, and analyze their own data in formal and structured ways. Drawing on peer-reviewed research as well as practitioner-oriented literature, social media, and district websites, we…

The field of learning analytics is being discussed in many circles as an emerging concept in education. In many districts and states, the core philosophy behind learning analytics is not entirely new; for more than a decade, discussions of data-driven decision making and the use of data to drive instruction have been common. Still, the U.S.…

Building Assets Reducing Risks (BARR) is a social emotional model that achieves academic outcomes through combining use of real-time student data with proven relationship-building strategies and intensive teacher collaboration to prevent course failure. BARR is a recipient of US Department of Education "Investing in Innovation (i3)"…

Several wealthy colleges and universities have recently begun removing all loans from low-income students' financial aid packages. This article reports on a study that found that the introduction of "no-loan" policies has positively impacted low-income enrollments, suggesting that this aid strategy may be an effective, though limited,…

In 2004, Lumina Foundation for Education launched "Achieving the Dream: Community Colleges Count," a national initiative aimed at improving success among community college students, particularly low-income students and students of color. Now encompassing more than 130 institutions in 24 states and the District of Columbia, Achieving the…

In order to assess how completely a Small Learning Community (SLC) and/or Career Academy is implemented in any given site, and to connect the degree of implementation with the amount of improvement in student performance, two kinds of information are needed. The first is information on the quality of implementation, which can be collected by…

To address key policy and programmatic questions and help improve student and system performance, states must work to link data across the early childhood, postsecondary and workforce (P-20/workforce) spectrum and share this information with appropriate stakeholders. This issue brief highlights current efforts in California, Florida, Indiana, and…

Now that all 50 states and the District of Columbia are building statewide longitudinal data systems, the next step is to ensure that the information in these systems is used to improve student learning. The Data Quality Campaign (DQC) has identified 10 actions that states can take to ensure that the right data are available and accessible and…

The No Child Left Behind legislation has drawn increased attention to student data. Data are most useful in educational decision-making when the purpose extends beyond vertical accountability and toward school- and classroom-level decision-making that enhances the experience and achievement of students. This necessarily involves getting practical…

The Kendall Demonstration Elementary School (KDES), a national demonstration school for the deaf in the District of Columbia and part of the Gallaudet College system, continuously updates its curriculum. In 1981, a needs assessment confirmed the need for computers in three areas: (1) administrative functions such as attendance, scheduling, and…