Lottery-based identification strategies offer potential for generating the next generation of evidence on U.S. early education programs. The authors' collaborative network of five research teams applying this design in early education settings and methods experts has identified six challenges that need to be carefully considered in this next…

Students' talent and potential cannot be served until they are recognized by schools or caregivers. While the field of gifted education has had success in identifying talent among many students with talents in reading and mathematics, those with spatial talents are often overlooked. This article reviews how we might identify spatial talent using…

For social and emotional learning (SEL) to be most effective, students must consistently access social and emotional knowledge and apply SEL skills across time and context. This article presents the Framework for the Pedagogies of SEL, which aims to theoretically articulate how teachers can support effective student SEL. We present an overview of…

We review common situations in Bayesian latent variable models where the prior distribution that a researcher specifies differs from the prior distribution used during estimation. These situations can arise from the positive definite requirement on correlation matrices, from sign indeterminacy of factor loadings, and from order constraints on…

Despite increasing calls for transparent integration, the mixed methods field lacks replicable approaches that center theory to answer multilevel-systems questions. We describe the Deductive-Inductive Dual Pillar Integration Process (DID-PIP), a five-phase integration technique for multilevel research. The DID-PIP centers a theoretical framework…

We are sometimes forced to use the Interrupted Time Series (ITS) design as an identification strategy for potential policy change, such as when we only have a single treated unit and cannot obtain comparable controls. For example, with recent county- and state-wide criminal justice reform efforts, where judicial bodies have changed bail setting…

Artificial Intelligence (AI) based assessments are commonly used in a variety of settings including business, healthcare, policing, manufacturing, and education. In education, AI-based assessments undergird intelligent tutoring systems as well as many tools used to evaluate students and, in turn, guide learning and instruction. This chapter…

Assessing sensitivity to unmeasured confounding is an important step in observational studies, which typically estimate effects under the assumption that all confounders are measured. In this paper, we develop a sensitivity analysis framework for balancing weights estimators, an increasingly popular approach that solves an optimization problem to…

Motivating today's adolescents to read is a challenge. This article discusses the kinds of literacy instructional practices that leverage what we know about adolescent motivation. It also reviews several evidence-based literacy interventions designed to engage and motivate adolescent readers that can potentially lead to improvements in student…

We describe here lessons learned in designing an early algebra curriculum to measure early algebra's impact on children's algebra readiness for middle grades. The curriculum was developed to supplement regular mathematics instruction in Grades K-5. Lessons learned centered around the importance of several key factors, including using conceptual…

Assessments of natural language can provide vast information about individuals' thoughts and cognitive process, but they often rely on time-intensive human scoring, deterring researchers from collecting these sources of data. Natural language processing (NLP) gives researchers the opportunity to implement automated textual analyses across a…

Reading intervention sessions are most effective when students are engaged. Combined interventions that target both reading and engagement may produce stronger outcomes in both domains than separate interventions for each goal. They also have advantages of being efficient, thus requiring fewer resources. However, planning and executing combined…

This practitioner article provides practitioners with instructional techniques to support reading and language comprehension development for children who demonstrate slower growth, including those with autism and concurrent intellectual disability.

The Colleague AI platform introduces a groundbreaking Rubric Generation function designed to streamline how educators create and use rubrics for instructional and assessment purposes. This feature uses artificial intelligence (AI) to produce standards-based rubrics tailored to course content for formative and summative evaluations. By automating…

Mathematics is a core component of cognition. Unfortunately, most young children and teachers cannot access research-based early childhood mathematics resources. Building on a quarter-century of research, we are developing and evaluating an innovative, integrated, intelligent, and interactive system of technologies based on empirically validated…