With limited budgets and increasing enrollment demands, colleges need fast, free, and practical solutions supporting academic success and retention. The Academic Reality Check (ARC) tool helps to predict traditional freshmen awareness of their own academic expectations in college quickly, supporting the financial investment being made by all…

Propensity score matching and weighting methods are applied to balance covariates and reduce selection bias in the analysis of observational study data, and ultimately estimate a treatment effect. We wish to evaluate the impact of a Supplemental Instruction (SI) program on student success in an Introductory Statistics course. In such student…

Research on impact in student achievement of online homework systems compared to traditional methods is ambivalent. Methodological issues in the study design, besides of technological diversity, can account for this uncertainty. Hypothesis: This study aims to estimate the effect size of homework practice with exercises automatically provided by…

IXL is an end-to-end teaching and learning solution that engages learners in grades Pre-K through 12 with a comprehensive curriculum and a first-of-its-kind assessment suite. A core component of IXL's assessment suite is the IXL Diagnostic, an interim assessment designed by a team of educators and mathematicians that uses Item Response Theory…

The purpose of this study was to conduct a conceptual replication of Pendergast et al.'s (2018) study that examined the diagnostic accuracy of a nomogram procedure, also known as a naive Bayesian approach. The specific naive Bayesian approach combined academic and social-emotional and behavioral (SEB) screening data to predict student performance…

Recent national research on the validity of the SAT shows that students with higher SAT scores are more likely to earn higher grades in college, and that SAT scores add about 15% more predictive power above high school grade point average (HSGPA) to estimate students' college performance (Westrick, Marini, Young, Ng, Shmueli, & Shaw, 2019).…

In this article we analyze the effects of student work on academic performance for college students. In order to reduce the endogeneity bias due to selection into treatment, we use propensity score matching technique. This approach allows us to estimate the effects of student work separately for different years of study, which is not possible when…

Due to increased use of computer-based assessments, comparability studies are moving beyond paper-and-pencil versus computer-based assessments to analyze variances with computers. It is therefore practically important to determine whether screen size and definition of the device affect students' performance. Using data from a large school district…

This paper analyzes the impact of students' proactivity on academic performance based on a sample from students enrolled in an introductory course of Political Economy at the University of Seville (Spain) in three consecutive courses (2014-2015, 2015-2016 and 2016-2017). Proactivity is measured by several indicators, such as class attendance,…

As traditional teaching methods may fail to serve children with special needs, special education (SE) services aim to compensate for the shortcomings of conventional schooling. However, despite of numerous studies on the effectiveness of SE services, the influence of potential selection bias remains a real challenge, and only a few studies have…

Background: The growing interest in principal effectiveness as a means of improving teaching and student learning has led to a focus on the quality of principal preparation programs (PPPs) with calls for the adoption of PPP accountability systems similar to those of teacher preparation programs. Objective: The purpose of the present study is to…

College education becomes increasingly important for individuals' career prospect. However, many students enter college academically unprepared (Jackson & Kurlaender, 2014). As a response, high school curriculum is tasked as the gatekeeper of students' academic proficiency that equips students with essential knowledge and skills for…

Recent methods to improve generalizations from nonrandom samples typically invoke assumptions such as the strong ignorability of sample selection, which is challenging to meet in practice. Although researchers acknowledge the difficulty in meeting this assumption, point estimates are still provided and used without considering alternative…

The COVID-19 pandemic has put virtual schooling at the forefront of policy concerns, as millions of children worldwide shift to virtual schooling with hopes of "slowing the spread". Given the emergency shift to online education coupled with the large increase in demand for virtual education over the last decade it is imperative to…

Theory suggests that teachers' implicit racial attitudes affect their students, but we lack large-scale evidence on US teachers' implicit biases and their correlates. Using nationwide data from Project Implicit, we find that teachers' implicit White/Black biases (as measured by the implicit association test) vary by teacher gender and race.…