It is difficult for consumers to access the evidence base for prevention programs to determine which models or practices have the strongest empirical support for improving youth social, emotional, and behavioral (SEB) outcomes within their specific service contexts. Researchers can address this evidence-to-practice gap through innovations in…

Word problem solving is the premise for students to generalize their problem solving skills to real world problems. This includes students with autism spectrum disorder (ASD) and intellectual disability (ID). Modified Schema-based Instruction (MSBI) is one strategy that research has shown is effective for teaching students with ASD/ID to acquire…

In this article, we focus on pairing instructional approaches with a strong evidence base in math with evidence-based practices for students with extensive support needs. To do so we draw on two sources. We use the 2021 Practice Guide from the Institution for Education Sciences (Fuchs et al., 2021). In addition, we use identified evidence-based…

Conflicts between peers are inevitable in schools, and schools must be equipped with strategies to assist students in avoiding conflicts and engaging in problem-solving when conflicts occur. Restorative practices and other conflict resolution interventions such as peer mediation are gaining popularity, particularly as an alternate framework to the…

The article describes a prevention science approach to impacting population health. We use activities of the Missouri Prevention Science Institute that address youth mental health concerns with a public health approach to illustrate the approach. In particular, we focus on several lessons that may be relevant for advancing the success of…

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…

Probabilistic machine learning increasingly informs critical decisions in medicine, economics, politics, and beyond. To aid the development of trust in these decisions, we develop a taxonomy delineating where trust in an analysis can break down: (1) in the translation of real-world goals to goals on a particular set of training data, (2) in the…

A typical mathematics assignment consists of one or two dozen practice problems relating to the same skill or concept, yet empirical evidence suggests that there is little or no long-term benefit from working more than a few problems of the same kind in immediate succession. Alternatively, randomized experiments in the laboratory and classroom…

Students often have limited opportunities in school to grapple with the ramifications of the increasing influence technology companies exert over their lives. Digital citizenship curricula could be the exception, but they typically emphasize personal safety and respectful behavior online, ignoring more participatory or justice-oriented notions of…

Behavior and academic outcomes in school are interrelated; students who struggle with academics are likelier to exhibit troublesome behavior and students who struggle with behavior tend to fall behind academically. Multitiered systems of support (MTSS) offer frameworks for providing increasingly intensive support for students with academic and…

This article provides information to educational leaders about how to address the challenge of supporting students who are emergent multilingual--i.e., those identified as English Learners (ELs) by their schools--in middle grades mathematics classes. The ideas in this article draw on research and collaborations with hundreds of teachers across the…

We propose a dyadic Item Response Theory (dIRT) model for measuring interactions of pairs of individuals when the responses to items represent the actions (or behaviors, perceptions, etc.) of each individual (actor) made within the context of a dyad formed with another individual (partner). Examples of its use include the assessment of…

Ratios and proportions are foundational to student understanding across multiple topics in mathematics and science. In mathematics, they are central to developing concepts and skills related to slope, constant rate of change, and similar figures, which are all fundamental to algebraic concepts and skills. This article examines the importance of…

The Self-Determined Learning Model of Instruction (SDLMI) is an evidence-based model of instruction implemented by a facilitator (e.g., general or special education teacher, family member, related service professional, transition professional) to enable students to learn to self-regulate problem solving in service to a goal. Students learn how to…

The emphasis on social-emotional competence and its importance to positive academic and nonacademic outcomes has led to a focus on identifying and implementing effective practices for supporting young children's social-emotional competence. Our work to identify, validate, and support the fidelity of implementation of evidence-based practices to…