In the USA, over 600,000 student-athletes participate in nationally organized intercollegiate sports and occupy socially prominent spaces on college campuses. Although their athletic accomplishments often garner much attention, there is growing interest in collegiate student-athletes' academic achievement and its precursors. One set of factors…

Machine learning models were constructed to predict student performance in an introductory mechanics class at a large land-grant university in the United States using data from 2061 students. Students were classified as either being at risk of failing the course (earning a D or F) or not at risk (earning an A, B, or C). The models focused on…

The purpose of this mixed methods study was to examine at-risk students in a small rural high school and school district, and the implementation of a response to intervention program at the high school called CAT Time. CAT Time is approximately 40 mins long and occurs four times per week. Teachers can request a student participate in the CAT Time…

In seeking to close equity gaps within a first-year student seminar course, course designers leveraged emerging research on intrapersonal competency cultivation, known to significantly predict student success across diverse students (NAS, 2018). After re-designing the course to intentionally cultivate specific intrapersonal competencies,…

Prior research has shown the importance of the ACT score and high school GPA (HSGPA) in predicting college success. Early college success, as indicated by students' first-year college GPA (FYGPA), plays a pivotal role in later college success and timely degree completion (Demeter et al., 2022; Gershenfeld et al., 2016). The accurate prediction of…

The identification of predictor variables for students at-risk of dropping out of university has received increased attention in higher education settings internationally concerning the context of origin in which they are developed and the different academic context in which they are introduced, often lacking schema-theoretic perspectives to offer…

This study investigates the alignment of a predictive model created to categorize first semester students by risk level of not completing their studies with the faculty identification of students displaying risk behaviours of the same cohort at Mohawk College. Data created by Finnie et al. (2017), is compared to a sample of first semester students…

This report provides information for administrators in local education agencies who are considering early warning systems to identify at-risk students. Districts use early warning systems to target resources to the most at-risk students and intervene before students drop out. Schools want to ensure the early warning system accurately identifies…

As federal and state involvement in higher education has evolved over the last century, increased funding preceded new measures of accountability. Even with a more diverse student population, the graduation rates for bachelor's seeking students has stayed the same for nearly 40 years. Student retention and departure theories have imparted a rich…

Grade retention and early dropout are two of the biggest challenges facing education systems in middle-income countries today, representing waste in school resources. We investigate whether reducing parent-school information gaps can improve outcomes that are early-warning signals for grade retention and dropout. We conducted an experiment in…

Students are most likely to leave science, technology, engineering, and mathematics (STEM) majors during their first year of college. We developed an analytic approach using random forests to identify at-risk students. This method is deployable midway through the first semester and accounts for academic preparation, early engagement in university…

The purpose of this study was to use a comprehensive framework to examine academic, psychosocial, noncognitive, and other background factors that are related to retention at a large, public four-year institution in the southeastern United States. Specifically, the study examined what factors are most important in predicting first-to-second year…

Ninth grade is a critical juncture for students--and can be a jarring transition. Even students a strong track record in the middle grades can experience academic difficulty, and those who enter high school with poor course grades, weak attendance, or behavior problems are especially at risk. An early misstep can have lasting implications:…

The current study examines how the integration of SAT scores with context information about students' neighborhood and high school from the College Board's Landscape™ resource can provide institutions with a nuanced perspective on students' expected performance and retention. This allows institutions to identify incoming students that may benefit…

Navigating academic demands in middle and high school may be particularly challenging for youth experiencing emotional and behavioral difficulties, and screening practices are a necessary first step in identifying youth in need of services. The goal of this study was to inform efficient universal screening practices in secondary schools by…