As part of a study investigating research productivity of sociology PhD students in Australia, an application to the federal government's Department of Education, Skills and Employment (DESE) aimed to establish a baseline count of completed sociology doctorates by university. It was anticipated that university totals might be different from PhD…

This qualitative case study sought to discover how school-level data teams can intentionally use effective data practices to identify and implement high-leverage interventions that support all students, including Black and Latinx boys, in attaining the necessary academic requirements for high school graduation. The researcher analyzed data from…

Measurement systems give colleges a structure for collecting, sharing, and acting on data. The guidebook and tools presented here help faculty, staff, college leadership, and policymakers understand and use measurement systems--and specifically use data to improve completion rates, close institutional performance gaps, and facilitate economic…

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…

State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…

Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…

This country note presents the results of an analysis of Slovenia undertaken within the Labour Market Relevance and Outcomes of Higher Education Partnership Initiative project. The project was implemented by the OECD with the support of the European Commission with the aim of helping policy makers and higher education institutions enhance the…

The California Department of Education (CDE) released statewide chronic absence data in December 2017 via DataQuest, an interactive data portal. To better understand chronic absence at the school level, Attendance Works collaborated with the Center for Regional Change at UC Davis and Children Now to analyze the data available from DataQuest and…

The Community College Academic and Student Support Ecosystems (CCASSE) project examines how academic and student support services at not-for-profit associate-degree granting colleges are organized, funded, and staffed, and how these services can most effectively advance student success. In spring 2019, Ithaka S+R surveyed 249 chief academic and…

The completion agenda is in full force at the nation's community colleges. To maximize the impact colleges can have on improving completion, colleges must organize around using student progress and outcome data to monitor and track their efforts. Unfortunately, colleges are struggling to identify relevant data and to mobilize staff to review…

Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…

The study used earliest available student data from a flagship university in the southeast United States to build data mining models like logistic regression with different variable selection methods, decision trees, and neural networks to explore important student characteristics associated with retention leading to graduation. The decision tree…

Our project is motivated by the early dropout and low completion rate problem in MOOCs. We have extended traditional features for MOOC analysis with richer and higher granularity information to make more accurate predictions of dropout and performance. The results show that finer-grained temporal information increases the predictive power in the…

The Southeast Comprehensive Center (SECC) at SEDL, an affiliate of American Institutes for Research (AIR), partnered with the Alabama State Department of Education (ALSDE) in 2014 to assist in evaluating Alabama Plan 2020, mainly focusing on learners and the graduation rate. SECC provided professional development and analytic technical assistance…

Increased federal attention to student completion metrics and uncertain financial forecasts have heightened the tenor of student retention conversations. Improved institutional retention rates will lead to higher completion rates and relieve some funding concerns. To accomplish these improvements, institutions have invested in analytics to better…