In the United States, doctoral students have a fifty percent chance of graduating from their institutions with a doctoral degree (Berelson, 1960; Bowen & Rudenstein, 1992; Lovitts, 2001; Sowell et al., 2015); however, this percentage decreases when race and ethnicity are included (Lovitts, 2001; Nettles & Millett, 2006). Research indicates…

Early dropout of students is one of the bigger problems that universities face currently. Several machine learning techniques have been used for detecting students at risk of dropout. By using sociodemographic data and qualifications of the previous level, the accuracy of these predictive models is good enough for implementing retention programs.…

Early school leaving is an outcome of complex and long-term processes comprising personal, institutional, and systemic factors. Studies on individuals in Hungary have identified a connection between early school leaving and teaching practices at schools. The creation of supportive learning environments in turn can contribute to preventing early…

The phenomenon of high school dropouts is a silent epidemic that has been plaguing the United States. This study examined the effects of online education on mental health and student retention of online students within the scope of secondary education. The data for this mixed methods study was collected through anonymous online questionnaires sent…

Every year around 1.2 million students drop out of school in the US. According to a UNICEF report enrollment in educational institutions in Lebanon dropped from 60% in 2020-2021 to 43% in 2021-2022. The National Dropout Prevention Center (NDPC) at Clemson University has identified an extensive set of risk factors organized into four domains:…

Open online education experiences persistently high dropout rates, and the efficacy of dropout interventions has been questioned. Despite considerable research, dropout reasons are not fully understood, and further in-depth investigation has been called for. Prior qualitative retention studies have frequently relied on smaller samples that are…

In this study, an early warning system predicting first-year undergraduate student academic performance is developed for higher education institutions. The significant factors that affect first-year student success are derived and discussed such that they can be used for policy developments by related bodies. The dataset used in experimental…

Early leaving studies demonstrate it is possible to improve young people's opportunities through education and training. The current research evidence has yet to agree a definitive answer as to where the primary policy focus to improve their life chances should be. That is, which risk factors are the most impactful for minimising early school…

At a community college in the state of Florida, student retention has become a critical concern because more than half of the first-year first-generation students fail to graduate. That rate is four times higher than for other first-year students. Guided by Tinto's Student Integration Model as the conceptual framework, this intrinsic qualitative…

Within OECD countries, 20% of university students continue no further than the first year. The objective of this research is to analyse the antecedents of student commitment, so as to design action plans for reducing dropout rates within higher education. Educational engagement, student--university identification and perception of performance were…

In recent years, high schools have turned to PBIS to address issues related to dropout rates, school climate, and disciplinary practices. However, high schools pose unique implementation challenges when compared to elementary and middle schools, such as large school sizes, organization and culture focused on academics rather than behavior, and the…

Course dropout is a concern in online higher education, mainly in first-year courses when different factors negatively influence the learners' engagement leading to an unsuccessful outcome or even dropping out from the university. The early identification of such potential at-risk learners is the key to intervening and trying to help them before…

Inefficient targeting of students at risk of dropping out might explain why dropout-reducing efforts often have no or mixed effects. In this study, we present a new method which uses a series of machine learning algorithms to efficiently identify students at risk and makes the sensitivity/precision trade-off inherent in targeting students for…

In recent years, initiatives and the resulting application of precision education have been applied with increasing frequency in Taiwan; the accompanying discourse has focused on identifying potential applications for artificial intelligence and how to use learning analytics to improve teaching quality and learning outcomes. This study used the…

As the transition point between middle and high school, ninth grade can either set a student up for long-term success or diminish a student's likelihood of graduating high school altogether. The Ninth Grade Success Initiative is a dropout prevention program, piloted in five Washington State high schools in 2019-2020. We evaluated the effects on…