New technologies that combine digital sensors with automated processing algorithms are now being deployed to study preschool classrooms. This article provides an overview of these new sensing technologies, focusing on automated speaker classification, the analysis of children's and teachers' speech, and the detection and analysis of their…

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…

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…

Sensitivity analysis, a statistical method crucial for validating inferences across disciplines, quantifies the conditions that could alter conclusions (Razavi et al., 2021). One line of work is rooted in linear models and foregrounds the sensitivity of inferences to the strength of omitted variables (Cinelli & Hazlett, 2019; Frank, 2000). A…

Recruiting schools to participate in research projects has become increasingly challenging in the past several years. Research in schools was next-to-impossible during the COVID-19 pandemic, and the aftermath of the pandemic has made research a lower priority for schools trying to regain COVID-related academic losses. The School Recruitment…

The College Assistance Migrant Program (CAMP) is a US Department of Education funded initiative to support students from migrant/seasonal farmworker backgrounds--i.e., students whose families travel seasonally to work in agriculture--during their first year as undergraduates. This article shares authors' experience of using insights from…

This article describes a curricular program for use in middle school social studies classrooms that supports the development of emergent bilinguals' language, literacy skills, and acquisition of content knowledge. The program leverages four supports found to be impactful for emergent bilinguals: (1) foregrounding content to increase students'…

An integrated multi-tiered system of support (I-MTSS) framework facilitates the implementation of practices across academic, social, emotional, and behavioral wellness (SEB) areas. Integrated multi-tiered systems of support allow schools to support all students efficiently and effectively in a manner that best meets their comprehensive needs. This…

Early warning systems (EWS) using analytical tools that have been trained against prior years' data, can reliably predict dropout risk in individual students so that educators may intervene early to help avert this from happening. Risk profiles for dropouts aren't always useful since students often do not conform to the profiles. Researchers with…

We talk about our spatial thinking skills all the time, maybe without knowing that there is an entire domain of cognitive skills that connect these observations. Educators can also recognize these skills in our students. These include students who seem to have an intuitive understanding of computer-aided design and create complex and efficient 3-D…

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…

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 chapter provides an overview of research in computer-based writing instruction (CBWI). CBWI may entail any type of writing instruction with computers and may refer specifically to technologies that provide computer-generated feedback and instruction. The purpose of CBWI is to support students in improving their written products and writing…

When students learn, they activate, use, revise, and acquire knowledge. As such, knowledge is a fundamental asset. We advocate for an asset-based approach which capitalizes on students' knowledge through prompts and activities that invite learners to leverage what they already know. Considering knowledge as an asset means that educators must…

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…