Cyberinfrastructure (CI) empowers the foundational computation resources underlying data analytics, spatial modeling, and many other domains serving the growing knowledge economy in the United States. In every part of these interactions with CI, questions of how to seamlessly integrate CI training into educational programs exist. In this article,…

We present a question bank consisting of over 250 multiple-choice and true--false questions covering a broad range of material typically taught in an introductory undergraduate course in numerical analysis or computational science. The questions are ideal for polling students during lectures by means of a student response system that uses…

New York City is one of several large school districts around the country that are actively working to promote "computer science for all" students. Launched in 2015, NYC's CS4All initiative aims to ensure that all public school students learn computer science--especially female, Black, and Latinx students, who are starkly…

Background: Early exposure to Computer Science (CS) and Computational Thinking (CT) for all is critical to broaden participation and promote equity in the field. But how does the introduction of CS and CT into primary school curricula impact learning, perception, and gaps between groups of students? Methodology: We investigate a CS-curricular…

There is growing attention to the potential for developing professional learning experiences for content area teachers to infuse computational thinking (CT), which refers to the set of problem-solving practices related to the computer science discipline, into their classrooms. Although research has begun to document professional learning models…

This report describes the design, methods, and results of the 2016/20 Baccalaureate and Beyond Longitudinal Study (B&B:16/20) conducted by the U.S. Department of Education's National Center for Education Statistics (NCES). It is the second follow-up with a cohort of bachelor's degree recipients originally identified during the 2015-16 National…

Problem solving is a basic skill needed to function effectively in the working environment. Teachers are no exception to this professional demand. It is of utmost importance for teacher education programs to prepare pre-service teachers with this fundamental competency. The DPACE model is a preliminary effort by two teacher educators to enhance…

Moving from arithmetic to algebraic thinking at early grades is foundational in the study of number patterns and number relationships. This qualitative study investigates mental computational activity in a third grade classroom's and its relationship to algebraic thinking and reasoning. The data sources include classroom observations, field notes,…

Math anxiety negatively predicts young children's math achievement. While some researchers have suggested that math anxiety may stem from poor math ability, others have argued that math anxiety occurs at all levels of math ability. An important question is whether math anxiety predicts math achievement over and above foundational math skills. We…

This study examined mathematics achievement in school-aged children with autism spectrum disorder (ASD), symptoms of attention-deficit/hyperactivity disorder (ADHD), or typical development (TD) over a 30-month period and the associations between cognitive and reading abilities with mathematics achievement in children with ASD. Seventy-seven…

An ongoing problem for teacher education institutions is bridging the gap between theory and practice and offering authentic experiences to challenge preservice teachers' pedagogical decision-making. Preservice practicums simulate teaching and can, at best, offer controlled experiences in familiar settings. This restricts the opportunities for…

Increased recognition of the importance of computational thinking as a core skill for all students has led many states to adopt and implement computer science standards, with a focus on teaching computational thinking. Consequently, there is an increased need to prepare educators that are equipped with the knowledge, skills, and instructional…

Informed by the person-object theory of interest, this study deployed a mixed-method concurrent triangulation design and investigated the impact of major/specialization, gender, and module design on preservice teachers' interest in teaching computational thinking. The study was conducted in a flipped computational thinking module hosted in three…

Statistical thinking is essential to understanding the nature of scientific results as a consumer. Statistical thinking also facilitates thinking like a scientist. Instead of emphasizing a "correct" procedure for data analysis and its outcome, statistical thinking focuses on the process of data analysis. This article reviews frequentist…

The authors describe their study of a curricular module on computational thinking (CT) implemented within an elementary science methods course and reported insights on preservice science teachers' (PSTs') beliefs about CT integration. The research question was, "Following participation in a curricular module on CT, what is the nature of PSTs'…