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…

The purpose of this study is to investigate the nature of the relationship between problem-framing and reported engagement with external research evidence in school-based decision-making. This study serves as an important first attempt to explore and describe this potential relationship and its implications for the use of research in schools.…

Visual displays, such as icon arrays and risk ladders, are often used to communicate numerical health information. Number lines improve reasoning with rational numbers but are seldom used in health contexts. College students solved ratio problems related to COVID-19 (e.g., number of deaths and number of cases) in one of four randomly-assigned…

Math anxiety -- negative feelings towards math -- is hypothesized to be associated with the avoidance of math-related activities such as taking math courses and pursuing STEM careers. Surprisingly, however, there is little experimental evidence for the math anxiety- avoidance link. Such evidence is important for formulating how to break this…

This paper explores how learning analytics data provided by a math problem-solving educational technology platform informed 5th and 6th grade teachers' instructional decisions around socioemotional learning (SEL). MathSpring is an educational technology tool that provides teachers with data on students' effort, progress, and emotions while…

Data from multiple school sources, including informant ratings, systematic direct observations (SDOs), and school wide data (e.g., office disciplinary referrals [ODRs]) are routinely used to guide decision making in the delivery of evidence based practices for students with externalizing and internalizing behavior problems. Over 50 years of…

Math anxiety--negative feelings toward math--is hypothesized to be associated with the avoidance of math-related activities such as taking math courses and pursuing STEM careers. However, there is little experimental evidence for the math anxiety-avoidance link. Such evidence is important for formulating how to break this relationship. We…

Learning, development, and response to instruction often involve changes in the strategies that learners use to solve problems. In this chapter, our focus is on mathematical problem solving in both children and adults. We offer a selective review of research on three classes of factors that may influence processes of strategy change in…

Most children experience some form of grouping in the classroom every day. Understanding how teachers make grouping decisions and their impacts on children's social development can shed light on effective teacher practices for promoting positive social dynamics in the classroom. This study examined the influence of teachers' grouping strategies on…

There is a priority for schools to address students' social and emotional needs as we do academic learning. Tiered models of prevention provide a framework for teaching social skills and behavioral expectations, as well as academics, with positive, proactive, evidence-based practices. Central to responding to students' needs is accurate…

Implementing evidence-based practices (EBPs) for children with autism is challenging for teachers because these practices are often complex, requiring significant training and resources that are not available in most school settings. This brief investigation was designed to identify areas of strength and difficulty for teachers implementing one…