Dropout is a global crisis and an affliction in the United States. This study analyzes graduation rates based on prior academic achievement, attendance, and behavior at an urban American high school in Virginia over 4 years to identify who is (not) graduating and why. Using a correlational, nonexperimental design, four cohorts of graduates were…

Background: In this paper, we investigate the predictors for enrollment and success in Science, Technology, Engineering, and Mathematics (STEM) programs in higher education. We develop a sequential logit model in which students enroll in STEM education, may drop out from STEM higher education, or continue studying until they graduate in an STEM…

Purpose: The purpose of this retrospective study is to identify potential predictors of academic success or failure in Doctor of Philosophy (PhD) programmes in the field of biomedicine. Based on these, the policies and structure of academic programmes granting PhD degrees in biomedicine might be improved. Literature review (State of the art): At…

Chronic absenteeism affects the majority of schools in the United States. An assessment of centers of learning illustrates that a majority of students miss a month of learning in an academic year through excused or unexcused absences. The majority of schools exhibit 95% average daily attendance rates, as the learners tend to not miss school, on…

This paper provides the first quantitative analysis on 'first in family' (FiF) university graduates in the UK. Using a nationally representative dataset that covers a recent cohort in England, we identify the proportion of FiF young people at age 25 as 18%, comprising nearly two-thirds of university graduates. Comparing groups with no parental…

Understanding reasons for drop-out, factors contributing to student satisfaction and strategies for enhancing student retention is fundamental to the success of online (language) courses. This study examines drop-out rates, student satisfaction, retention rates and attainment in fully online elementary-level courses for Dutch as a second language…

A high school education prepares young people to participate positively in the economy and in civic life, among other positive life outcomes. However, nearly one in five American high school students does not graduate from high school on time, if ever. Progress has been made on understanding why students fail to complete high school and on raising…

Students who drop out of high school are at increased risk of a range of negative social and economic consequences, including lower earnings and poorer health. To reduce dropout rates and lessen these negative consequences, districts around the country are using early warning indicators to identify and provide supports for students at risk of…

The Forum Guide to Early Warning Systems provides information and best practices to help education agencies plan, develop, implement, and use an early warning system in their agency to inform interventions that improve student outcomes. The document includes a review of early warning systems and their use in education agencies and explains the…

There has been a steady increase in college enrollment rates in recent decades, which has not been accompanied by a corresponding increase in graduation rates. If this discrepancy is partly due to insufficient effort exerted by students, policies that aim at rewarding effort explicitly may succeed in increasing graduation rates. A unique and rich…

Almost from the start of the public schools system in America, students have been leaving school without high school diplomas. However, the dropout issue did not rise to the level of significance it has today until the early 1980s, when social pressures, along with business leaders, leveraged their influence on educators to address the dropout…

This year's study is the 35th in a series of annual reports on trends in dropout and attrition rates in Texas public schools. The 2019-20 study builds on a series of studies by the Intercultural Development Research Association (IDRA) that track the number and percent of students in Texas who are lost from public school enrollment prior to…

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…

This study explored the interaction between student characteristics and the online environment in predicting course performance and subsequent college persistence among students in a large urban U.S. university system. Multilevel modeling, propensity score matching, and the KHB decomposition method were used. The most consistent pattern observed…

School systems are under increasing pressure to improve student performance. Several states have recently explored adopting student count methods for school funding purposes that incentivize school attendance and continuous enrollment by adjusting funding for changes in enrollment or attendance over the course of the school year. However, no…