In "Subtle Webs," Jose Eos Trinidad reveals how organizations outside schools have created an invisible infrastructure not only to affect local school districts but also to shape US education. He illustrates this by providing a behind-the-scenes look at how local organizations in Chicago, Philadelphia, and New York City have transformed…

Understanding the drivers of student dropout from higher education has been a policy concern for several decades. However, the contributing role of certain factors--including student mental health--remains poorly understood. Furthermore, existing studies linking student mental health and university dropout are limited in both methodology and…

The relationship between engagement and the intention to drop out was the focus of this research. Following an empirical-analytical approach, a sample of 1,122 university students responded to a questionnaire designed to measure the engagement and the intention to drop out of school. The results confirmed that undergraduates who considered…

This paper investigates the student dropout phenomenon in a technical Italian university from a time-to-event perspective. Shared frailty Cox time-dependent models are applied to analyse the careers of students enrolled in different engineering programs with the aim of identifying the determinants of student dropout through time, predicting the…

The Great Mountain High School (GMHS) started a program to help support students at risk for not graduating high school. The focus of this study was to provide a formative program evaluation of the created program that (a) investigated the fidelity of implementation of the activities and processes of the program, (b) gathered an understanding of…

The issue of students dropping out before completing secondary education is a global concern with significant individual and societal consequences. Various terms, such as Early School Leaving (ESL), Early Leaving from Education and Training (ELET), and school dropout, reflect different policy perspectives on this phenomenon. Despite international…

Practitioners of the statistics course embedded in a computer science programme at a fully online university were concerned with the high dropout rate. In the academic year 2018-19, they decided to carry out a two-phase project in order to address this issue. In the first phase, an early classifier to identify students at risk of dropping out of…

Dropout rates in engineering degree programmes at universities are high, and skilled workers are needed. Universities try to prevent dropouts with different offers one of which is attending bridging courses. Research on the effects of these programmes is rare, especially in subject-specific programmes and study formats like cooperative education.…

Understanding student engagement with the institution from the first day of classes to the end of the semester would help inform the institution of the potential risk that a student will drop out of a class or of the school. Learning Management Systems (LMS) record student interactions with the system and might be able to be used to identify…

Educators across the U.S. struggle to provide an equitable education to their diverse students. Since the 2020 COVID pandemic and the national call to end racism after George Floyd's murder in Minneapolis, chronic absenteeism and students' substantial mental health challenges have disrupted their efforts. Schools have struggled more than ever to…

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 Warning Systems (EWS) are research-based analytics that use statistical models to assess dropout risk. School leaders use this analytic to consolidate data about a student and provide actionable data to craft an intervention. Little is currently known about the processes involved in school implementation or data use. By analyzing Montana EWS…

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…

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…