Differences in socioeconomic status (SES) correlate both with differences in cognitive development and in brain structure. Associations between SES and brain measures such as cortical surface area and cortical thickness mediate differences in cognitive skills such as executive function and language. However, causal accounts that link SES, brain,…

Self-regulated learning (SRL), which involves the regulation of cognitive, affective, metacognitive, and motivational processes, is an important construct for analyzing effective student learning in open-ended learning environments (OELEs). Novice K-12 students working on complex learning tasks in OELEs often engage in sub-optimal use of SRL…

A vast body of work highlights executive functions (EFs) as robust correlates of mathematics achievement over the primary and preschool years. Yet, despite such correlational evidence, there is limited evidence that EF interventions yield improvements in early years mathematics. As intervention studies are a powerful tool to move beyond…

This study assesses the impact of involuntary job loss on college persistence by leveraging different job-loss timings relative to a student's college enrollment decision. We find that job loss increases the probability that a working college student leaves college before attaining a degree, but access to short-term credit through credit card…

This quantitative research study sought to examine the differences in retention and degree attainment for college students depending on their home locale and the location of their institution of attendance. Students were divided into four groups: rural students who attended a rural institution, rural students who attended an urban institution,…

This study examines the relationship between reputational threat and altruistic behavior in children aged 6-11 and explores how social inhibition and group relationships affect this behavior. Study 1 involved 204 children and found that age and reputational threat influence altruism, with age 8 being a key turning point. Study 2 focused on 130…

This study explores the effects of the two-generation program Career"Advance"--which combines education and training for parents in healthcare with Head Start for children--on children's academic, language, mathematics, and inhibitory control followed for 3 years. The sample (collected in Tulsa, Oklahoma from 2011 to 2018) includes 147…

As part of a growing emphasis on "STEM," engineering has gained prominence in precollege education. In response to that trend, an emerging area of educational research focuses on the "Nature of Engineering" (NOE), a collection of ideas about what engineering is, what engineers do, and how engineering is related to science and…

This paper describes the nature of home-school value discrepancies perceived by students, and tests associations between such value discrepancies and teacher-student relationships with student generational status as a moderator. Using a sample of 1,551 students from grades 10 and 11, chi-square tests and ANOVAs were used to describe the nature of…

In the complex world of educational policy, causal inferences will be debated. As we review non-experimental designs in educational policy, we focus on how to clarify and focus the terms of debate. We begin by presenting the potential outcomes/counterfactual framework and then describe approximations to the counterfactual generated from the…

The purpose of this study is to investigate whether the implementation of a belongingness strategy positively influences student performance in an online higher education environment. Belonging is defined as a student's sense of being accepted, respected, encouraged and supported in their college environment by both peers and faculty. This study's…

Using the High School Longitudinal Study of 2009, the association between high school exit exams and mathematics course-taking patterns is explored. Exit exams are linked to a decreased likelihood of students taking upward-bound mathematics during their four years of high school. Exit exams are also associated with fewer mathematics credits…

This study proposes a two-stage causal modeling with instrumental variables to mitigate selection bias, provide correct standard error estimates, and address nonnormal and missing data issues simultaneously. Bayesian methods are used for model estimation. Robust methods with Student's "t" distributions are used to account for nonnormal…

Cyberbullying has become increasingly prevalent, particularly on social media. There has also been a steady rise in cyberbullying research across a range of disciplines. Much of the empirical work from computer science has focused on developing machine learning models for cyberbullying detection. Whereas machine learning cyberbullying detection…

One of the core dimensions of historical and social science inquiry is "[d]eveloping questions and planning inquiries" according to the National Council for the Social Studies' College, Career, and Civic Life (C3) Framework. Yet existing education research, instructional resources, and assessment have ignored how students frame problems…