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…

While most students who seek academic support succeed in their courses, some still fail or withdraw. What can we learn about them? In this study, 6,299 undergraduates were enrolled in courses supported with Supplemental Instruction (SI), a form of peer-facilitated academic support open to students in challenging courses. Mean final course grades…

Studies found that students from low socioeconomic backgrounds have higher odds of dropping out from higher education. Academic hardships were also identified as predictors. The current study utilizes data on 45,752 students who started their studies at The Hebrew University of Jerusalem (2003-2015). Descriptive statistics reveal that 18% of all…

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…

Sexual violence continues to be a serious problem on university campuses. While the negative psychological and health effects are well known, it is only recently that attention has focused on how sexual violence is related to educational outcomes, particularly women's education. This study contributes to this area and examined the relationship…

This study concerns students in an internationally accredited undergraduate mechanical engineering program who due to consistent poor grades are academically dismissed and, by existing policy, required to take a 1-year leave of absence. The purpose was to determine whether the policy could be improved to offer more proactive solutions to address…

Pittsburgh Public Schools (PPS), the Propel Schools charter network, and the Allegheny County Department of Human Services (DHS) want to better identify students at risk for academic problems in the near term. The stakeholders partnered with the Regional Education Laboratory Mid-Atlantic to develop an approach for identifying at-risk students…

The purpose of this study is to evaluate the implementation and impacts of the Building Assets, Reducing Risks (BARR) model in its first year of implementation in 66 schools across the U.S. and to document scale-up progress during the Investing in Innovation (i3) grant period (2017-2021). The impact evaluation included 21,529 9th grade students…

The national high school graduation rate reached its highest level in U.S. history--82 percent--during the 2013-14 school year (Kena et al., 2016)--but dropout remains a persistent problem in the Midwest and nationally. Early warning systems that use research-based warning signs to identify students at risk of dropping out have emerged as one…

The present paper examines if developmental pathways for students at risk for academic failure can be improved through social and emotional learning (SEL). Specifically, we test this hypothesis by accounting for shifts in student engagement, a highly studied and malleable construct often inclusive of SEL interventions, as the pathway by which to…

In recent years, community school (CS) reform efforts have been established and implemented as a method of realizing comprehensive school reform in under-performing school districts. This study investigates the impact of one CS initiative in a middle school on student academic and nonacademic outcomes over time and compared to a propensity score…

In this article, we examined predictive validity of "Student Risk Screening Scale for Internalizing and Externalizing" (SRSS-IE) scores for use at the middle (N = 2,313 from four middle schools) and high (N = 2,727 from two high schools) school level. Results indicated middle and high school students with high levels of risk according to…

The purpose of this study was to build a forecasting model for medical students at risk using the survival analysis technique. Authors of previous studies have investigated dropouts from medical programs or success of medical students on national board exams. However, little research has been done to identify students at risk, mainly the timing of…

Research examining factors contributing to online students' success typically focuses on a single point in time or completion of a single course, as well as individual difference variables, such as learning style or motivation, that may predispose a student to succeed. However, research concerning longer term online student outcomes, such as…

This report provides information for administrators, researchers, and student support staff in local education agencies who are interested in identifying students who are likely to have near-term academic problems such as absenteeism, suspensions, poor grades, and low performance on state tests. The report describes an approach for developing a…