The current study investigated the effectiveness of three distinct educational technologies--two game-based applications (From Here to There and DragonBox 12+) and two modes of online problem sets in ASSISTments (an Immediate Feedback condition and an Active Control condition with no immediate feedback) on Grade 7 students' algebraic knowledge.…

Pre-kindergarten (Pre-K) improves the school readiness of all children, but less is known about whether associations between enrollment in Pre-K and different indicators of social-emotional and executive functioning (EF) skills are sustained as children move into and across elementary school. The current study examines associations between…

Language-in-education research can contribute to transformative progress toward educational equity and excellence. Although this assertion is likely uncontroversial within the field of language in education, agreeing on which types of research lead to which transformative progress is much less straightforward. The thought-provoking commentaries on…

School choice policies have become a prominent feature of K-12 education in recent decades, reflecting the broader institutionalization of market-based political ideology in education. In this qualitative multiple case study, we draw on framing theory and interviews with 57 state-level education policy actors to explore the nature of the continued…

We study the total, market-level effects of charter schools, and their mechanisms, on a national level and across multiple outcomes. Using a generalized difference-in-differences method, we find that increasing the charter market share by 10 percentage points increases math and ELA elementary/middle test scores of the entire geographic district in…

Cognitive Diagnosis Models (CDMs) are a special family of discrete latent variable models that are widely used in educational and psychological measurement. A key component of CDMs is the Q-matrix characterizing the dependence structure between the items and the latent attributes. Additionally, researchers also assume in many applications certain…

Mixed Membership Models (MMMs) are a popular family of latent structure models for complex multivariate data. Instead of forcing each subject to belong to a single cluster, MMMs incorporate a vector of subject-specific weights characterizing partial membership across clusters. With this flexibility come challenges in uniquely identifying,…

We consider the statistical inference for noisy incomplete binary (or 1-bit) matrix. Despite the importance of uncertainty quantification to matrix completion, most of the categorical matrix completion literature focuses on point estimation and prediction. This paper moves one step further toward the statistical inference for binary matrix…

Recurrent event analyses have found a wide range of applications in biomedicine, public health, and engineering, among others, where study subjects may experience a sequence of event of interest during follow-up. The R package reReg offers a comprehensive collection of practical and easy-to-use tools for regression analysis of recurrent events,…

Understanding science allows students with and without developmental and behavioral-based (DB) disabilities to better appreciate the world around them as well as prepare them for the growing science-related job market. However, students in the United States consistently underperform on science achievement tests compared to students from other…

Student achievement disparities in inclusive science classrooms are concerning, as knowledge about science, technology, engineering, and mathematics (STEM) is increasingly important for upward mobility. When students identify with multiple marginalized sociocultural groups, progress becomes more troubling, as the interplay among these factors is…

Writing is a critical skill for success in all areas of life, but it is one of the least taught skills in school. Teachers consistently report being unprepared to teach writing. In this study, set in a Southern U.S. boomtown, teachers received two days of practice-based professional development for a ten-week implementation of self-regulated…

Academic discourse communities and learning circles are characterized by collaboration, sharing commonalities in terms of social interactions and language. The discourse of these communities is composed of jargon, common terminologies, and similarities in how they construe and communicate meaning. This study examines the extent to which discourse…

The purpose of this study is to evaluate the role of the Early Language Comprehension Individualized Instruction (ELCII) program in supporting kindergarteners' learning of inference-making during the COVID-19 pandemic. Two different cohorts of pre- and in-pandemic students completed the ELCII program, which was designed to teach them how to make…

In this conceptual article, the authors introduce the Translanguaging Framework for Deaf Education (TFDE), drawing upon two perspectives on language and learning: crip linguistics and critical translanguaging space. The TFDE is a retheorization of the Language Zone, a pedagogical framework for supporting language learning in deaf education, and is…