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…

In recent years the fight for equity in higher education has intensified. Institutional leaders, advocates, and policymakers alike are seeking scalable solutions that rapidly close equity gaps among this nation's most underserved populations. Too many hardworking students still struggle to afford a college education, and historically underserved…

The primary purpose of the Minnesota Migrant Education Program (MEP) is to help migrant children and youth overcome challenges of mobility, frequent absences, late enrollment into school, social isolation, and other difficulties associated with a migratory life, in order that they might succeed in school. Furthermore, the Minnesota MEP must give…

This article describes original research to determine reasons graduate students do not complete requirements for a Master's (M.Ed.) in Middle Level Education degree at the Southeastern University. Since the program's initial cohort the graduation rate has decreased. Program faculty was concerned about the increasing difference between the number…

This paper reports on progress to date with a project underway in New Zealand involving the extraction of data from multiple government agencies that is then combined into one comprehensive longitudinal integrated dataset and made available to trial participants in a way never previously thought possible. The dataset includes school leaver…

Providing academic assistance to English Language Learners (ELLs) is varied and often ineffective. The purpose of this causal-comparative study was to determine if there was a relationship between 9th grade students' performance on the High School Graduation Exam (HSGE) in reading and language and the Push-in and Pull-out models of instruction.…

Supporting early warning systems is important because keeping students on track is vital to graduating all students college and career ready. Failing to keep students on track toward completing high school has perilous consequences for students, communities, and the economy. Predictive analyses are important to ensuring students are on track.…

The NEAIR 2015 Conference Proceedings is a compilation of papers presented at the Burlington, VT, conference. Papers in this document include:(1) Strategies to Analyze Course and Teaching Evaluation Data (Kati Li); (2) Using a Mixed Methods Approach to Assess a Leadership Mentoring Program (Betty Harper); (3) Flagship Institutions and the Struggle…

To stem the tide of students dropping out, many schools and districts are turning to early warning systems (EWS) that signal whether a student is at risk of not graduating from high school. While some research exists about establishing these systems, there is little information about the actual implementation strategies that are being used across…

As policymakers consider strategies to increase college completion and further economic growth, it is critical that statewide longitudinal data systems be viewed as a necessary tool. This report highlights the role of data systems in improving the completion of postsecondary education, and provides recommendations and tangible examples for…

Educators and experts alike have come to a growing realization that academic factors alone do not tell the whole story of what it means to successfully navigate the educational system through high school and into higher education or the workplace. This national report from "Education Week" investigates the role that student engagement…

Districts now have access to a wealth of new information that can help target students with appropriate supports and bring focus and coherence to college readiness efforts. However, the abundance of data has brought its own challenges. Schools and school systems are often overwhelmed with the amount of data available. The capacity of districts to…

This report describes a follow-up qualitative study, conducted in 2006 by the Annenberg Institute for School Reform, of a small group of New York City high schools that were "beating the odds" in preparing low-performing 9th-grade students for timely high school graduation and college going. The 13 schools included two long-established…

As more community colleges focus on using data to improve educational outcomes, many administrators are considering business intelligence applications that promise a path toward more informed decisions. Getting there, leaders say, requires more than installing some out-of-the-box solution; it requires changing the culture and finding skilled…

This dissertation was designed to determine reasons graduate students do not complete requirements for a Master's in Middle Level Education degree at the southeastern university. Since the program's initial on-campus cohort (2000) the graduation rate has decreased from 80% to 62.96% with the fourth on-campus cohort (2005). The current cohort…