This paper reports the results of a four-state collaboration--Illinois, New York, Texas, and Virginia--that uses Student Unit Record Database Systems that track students from high school into college. The goal is to determine whether it is possible to accurately predict whether individual students will not graduate using very early indicators…

Objective: To examine poor sleep quality as a potential mediator between college students' employment hours and depressive symptoms, and to examine if this mediation model might differ across students reporting different levels of financial strain. Participants: The sample was collected through a multi-site study during the Spring of 2019 and…

Recent research indicates that certain students are at risk of lower levels of academic performance in online settings when compared to peers who study only in the classroom. Community college students have been a population of particular concern. In this paper, we hypothesize that online course load and institutional quality may impact outcomes…

Student Mobility is increasing on Long Island, NY, the site of the present study related to the demographic changes of increasing immigration and poverty. Mobile students often struggle academically, and are at risk for school drop-out or failure. Mobility is sometimes combined with other risk factors such as gender, ethnicity, limited English,…

Students perform better in school to the extent they are able to engage fully, cope adaptively, and bounce back from obstacles and setbacks in their academic work. These three processes, which studies suggest are positively inter-connected, may comprise a self-sustaining system that enables "motivational resilience." Using…

Students' engagement and performance in their first year of high school offer strong signals about their prospects for earning a diploma 4 years later. These performance measures can be used to construct "on-track" indicators to measure a school's performance and to identify needs of specific students who are at risk of dropping out.…

Over the past decade, research on dropout prevention has become focused on using evidence-based practice, and data-driven decisions, to mitigate students' dropping out of high school and instead, support and prepare students for career and college. Early warning systems or on-track indicators, in which readily available student-level data are used…

The variables of class attendance and the institution-wide Early Alert Grading System were employed to predict academic success at the end of the semester. Classroom attendance was found to be statistically and significantly related to final average and accounted for 14-16% of the variance in academic performance. Class attendance was found to…

Many graduate TESOL programs grapple with whether to admit applicants who fall short of meeting established admission criteria yet who show promise as future TESOL professionals. This study examined key characteristics affecting the success of candidates admitted conditionally to graduate TESOL programs. Participants were 21 students who had been…