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…

Background: Grade retention is an educational aspect that concerns teachers, families, and experts. It implies an economic cost for families, as well as a personal cost for the student, who is forced to study one more year. The objective of the study was to evaluate the effect of course repetition on math, science and reading competencies, and…

The COVID-19 pandemic has greatly affected higher education, but when learning shifted to an online environment it provided an opportunity to gain insight into how classroom format influences student performance and preferences. Thus, our objective was to assess student performance across classroom types, along with student perceptions of…

Policy evaluation studies, which assess the effect of an intervention, face statistical challenges: in real-world settings treatments are not randomly assigned and the analysis might be complicated by the presence of interference among units. Researchers have started to develop methods that allow to manage spillovers in observational studies;…

This study aimed to investigate whether and how willingness to communicate, communication in English anxiety, behavioural inhibition and action predict perceived second language (L2) fluency. The study also looked at whether L2 proficiency moderates the strength of relationships between these affective factors and L2 perceived fluency. One hundred…

I use rich administrative data and several quasi-experiments in Texas to study which students benefit most from college grant aid and why. For "extensive-margin" students, grant aid causes enrollment in college, and therefore has potentially large benefits relative to these students' no-college counterfactual. In contrast,…

In this paper I study how school desegregation by race following "Brown v. Board of Education" affected White individuals' racial attitudes and politics in adulthood. I use geocoded nationwide data from the General Social Survey and difference-in-differences to identify causal impacts. Integration significantly reduced White individuals'…

We develop a conceptual framework for understanding and predicting teacher shortages at the state, region, district, and school levels. We then empirically examine how teacher shortages vary geographically and by subject using data on unfilled teaching positions in Tennessee traditional public schools during Fall 2019. We find that teacher…