In poor-performing, resource-constrained education systems, such as South Africa, solutions to improve academic achievement have tended to focus on resources and cognitive factors. An area that requires more attention is the importance of non-cognitive, psychosocial factors and their relationship with academic performance. These factors are…

In conversations about pedagogy, researchers often overlook how physical space and movement shape teacher sensemaking. This article offers a comparative case study of classroom videos using a dynamic visual method to map embodied interaction called "interaction geography." Our analysis proposes an integrative framework to study classroom…

This study aims to develop an evaluation framework to assess the mathematical deductive reasoning competence (MDRC) of eighth-grade students in China based on Program for International Student Assessment (PISA) and Trends in International Mathematics and Science Study (TIMSS). The framework includes four dimensions of MDRC: cognitive level,…

Cognitive diagnosis models (CDMs) are restricted latent class models that can be used to analyze response data from educational or psychological tests. The Deterministic Input Noisy Output "AND" gate (DINA) model and the Deterministic Input Noisy Output "OR" gate (DINO) model there are two popular cognitive diagnosis models…

School-based learning experiences are often designed with the "typical" student in mind. However, this may not be an optimal approach, given the variability of prior learning that exists in most classrooms. We investigated the variance in achievement within U.S. fourth- and eighth-grade mathematics classrooms using Trends in…

Understanding how children's broader context influences their development is critical if we are to develop policies that help them flourish. Combining sociological, economic, and psychological literature, we argue that ability stratification--the degree to which children of similar levels of ability are schooled together--influences a child's…

The development of math reasoning and 3-d mental rotation skills are intertwined. However, it is currently not understood how these cognitive processes develop and interact longitudinally at the within-person level -- either within or across genders. In this study, 553 students (52% girls) were assessed from fifth to seventh grades on 3-d mental…

Using Malaysia TIMSS 2015 data, this study examined the association between eighth grade students' science achievement and mathematics score and the determining factors of science achievement. A total of 9,726 students participated in TIMSS 2015 with an average score of 508.60 with standard deviation of 89.86 for science and 501.57 with standard…

Research to date on the effects of between-school tracking on inequalities in achievement and on performance has been inconclusive. A possible explanation is that different studies used different data, focused on different domains, and employed different measures of inequality. To address this issue, we used all accumulated data collected in the…

Mathematical problem solving typically involves manipulating visual symbols (e.g., equations), and prior research suggests that those symbols serve as diagrammatic representations (e.g., Landy & Goldstone, 2010). The present work examines the ways that instructional design of student engagement with these diagrammatic representations may…

Using data from the Trends in International Mathematics and Science Study (TIMSS) 2007, this study examined the big-fish-little-pond-effects (BFLPEs) in 49 countries. In this study, the effect of math ability on math self-concept was decomposed into a within- and a between-level components using implicit mean centring and the complex data…

In educational measurement, responses of students on items are used not only to measure the ability of students, but also to evaluate and compare the performance of schools. Analysis should ideally account for the multilevel structure of the data, and school-level processes not related to ability, such as working climate and administration…

In large-scale educational surveys, a latent regression model is used to compensate for the shortage of cognitive information. Conventionally, the covariates in the latent regression model are principal components extracted from background data. This operational method has several important disadvantages, such as the handling of missing data and…

This dissertation explores how country-level cultural values are associated with gender differences in the enrollment in and completion of science, technology, engineering, and mathematics (STEM) Massive Open Online Courses (MOOC), national achievement in mathematics and science, and students' science achievement. Study 1 explored how gender-equal…

The purpose of this article is to identify the order of significance of the variables that affect science and mathematics achievement in middle school students. For this aim, the study deals with the relationship between science and math in terms of different angles using the perspectives of multiple causes-single effect and of multiple…