The high attrition and turnover rates of qualified special education teachers (SETs) is a significant concern exacerbated by COVID-19. Unfortunately, there are limited studies available on research-based interventions to decrease burnout. The purpose of this study was to describe our processes and results for adaptations and modifications of…

Future Forward is an early primary literacy program that pairs one-on-one tutoring with family engagement. The approach of Future Forward is informed by both systems theory and a school-family-community partnership model. With its school-family-community partnership approach, schools are not solely responsible for developing student literacy.…

Social-emotional learning interventions are intended to improve classroom dynamics and have the potential to enhance the well-being of students and their teachers. Using data drawn from an effectiveness trial of the Social Skills Improvement System SEL Edition Classwide Intervention Program (SSIS SEL CIP; Elliott & Gresham, 2017), the present…

Schools are increasingly adopting universal social-emotional learning (SEL) programs to support students' prosocial development and academic success. When adopted across contexts and student populations, SEL interventions can be implemented in different ways particularly under typical classroom conditions that are not part of research efficacy…

This study describes the role that Rasch measurement played in the development of assessments aligned to the "Next Generation Science Standards," tasks that require students to use the three dimensions of science practices, disciplinary core ideas and cross-cutting concepts to make sense of energy-related phenomena. A set of 27…

Student motivation to write is a pivotal factor influencing their writing achievement. However, individual motivation to write is not independent of the learning environment. It also is crucial for teachers to develop their own efficacy, knowledge, and ability in writing and writing instruction to help them utilize effective instructional methods…

Purpose: The aim of this study was to advance the analysis of written language transcripts by validating an automated scoring procedure using an automated open-access tool for calculating morphological complexity (MC) from written transcripts. Method: The MC of words in 146 written responses of students in fifth grade was assessed using two…

Classroom-level quality measures are widely used in early education settings but may mask important variation in learning experiences across children in the same classroom. This study investigates this possibility using detailed data from an observational measure of individual children's learning experiences--Individualizing Student Instruction…

Inferencing skills uniquely contribute to the reading comprehension skills of older grade-school and college students. Evidence also suggests that children's reading component skills, such as decoding and language comprehension, differentially contribute to various reading comprehension assessments. However, additional research is needed to…

Background: Prior work has shown that middle school students struggle with algebra and that game-based educational technologies, such as DragonBox and From Here to There!, are effective at improving students' algebraic performance. However, it remains unclear which aspects of algebraic knowledge shift as a result of playing these games and what…

In this investigation we propose new machine learning methods for automated scoring models that predict the vocabulary acquisition in science and social studies of second grade English language learners, based upon free-form spoken responses. We evaluate performance on an existing dataset and use transfer learning from a large pre-trained language…

Disparities in exclusionary discipline practices are well-documented; however, variation in Black students' disciplinary experiences across different racial and ethnic school compositions remains understudied. Utilizing a state-wide dataset (N = 769,050 students in J = 1296 schools), we examined student- and school-level factors that contribute to…

In high-stakes, large-scale, standardized tests with certain time limits, examinees are likely to engage in either one of the three types of behavior (e.g., van der Linden & Guo, 2008; Wang & Xu, 2015): solution behavior, rapid guessing behavior, and cheating behavior. Oftentimes examinees do not always solve all items due to various…

The COVID-19 pandemic resulted in an urgent pivot to remote learning, causing many challenges for teachers and school administrators. The current study sought to better understand the extent to which the perceived negative impacts of COVID-19 on U.S. educators and their students varied as a function of staff role (teacher vs. administrator),…

Social scientists seeking to inform policy or public action must carefully consider how to identify effects and express inferences because actions based on invalid inferences will not yield the intended results. Recognizing the complexities and uncertainties of social science, we seek to inform inevitable debates about causal inferences by…