BoSTEM, implemented by United Way of Massachusetts Bay and Merrimack Valley and Boston Afterschool and Beyond, is a network of STEM-focused after school programs in the Boston area that provide high-quality science, technology, engineering, and math (STEM) opportunities to Boston middle school students. Through an innovative citywide coalition of…

Math performance continues to be an important focus for improvement. The most recent National Report Card in the U.S. suggested student math scores declined in the past two years possibly due to COVID-19 pandemic and related school closures. We report on the implementation of a math homework program that leverages AI-based one-to-one technology,…

This paper presents the design of an innovative platform to support teachers' personalized learning related to teaching statistics and data science in grades 6-12 (http://instepwithdata.org). Through a study of 32 pilot users, the authors describe how teachers utilized supports such as personalization surveys, tracking of progress on a dashboard,…

Early adolescence is a time of increased stress and risk for poorer psychosocial functioning, but few studies have explored the relationship between stress and psychosocial functioning in the context of teacher-student relationships during early adolescence. This study used a two-wave longitudinal design to investigate the unique and interactive…

Analyzing constructed responses, such as think-alouds or self-explanations, can reveal valuable information about readers' comprehension strategies. The current study expands on the extant work by (1) investigating combinations and patterns of comprehension strategies that readers use and (2) examining the extent to which these patterns relate to…

Mathematics anxiety (MA) refers to negative cognition and negative affect that interfere with mathematics performance. We examined the dimensionality of MA, measurement invariance across males and females, and whether the strength of relations between MA and mathematics performance varies by dimension and gender among 245 sixth-grade students.…

Noncompliance to treatment assignment is widespread in randomized trials and presents challenges in causal inference. In the presence of noncompliance, the most commonly estimated effect of treatment assignment, also known as the intent-to-treat (ITT) effect, is biased. Of interest in this setting is the complier average causal effect (CACE), the…

Special education teacher attrition is a significant and chronic problem that has worsened since the pandemic. A longitudinal survey of burnout was conducted with rural special education teachers (n = 48) over four timepoints through the school year just prior to COVID-19. Both school and intrapersonal predictors of burnout obtained at the…

The cross-sectional study ascertained prevalence rates of stress-related outcomes of 490 special educators (i.e., major depressive disorder, generalized anxiety disorder) and examined the relative importance of variables hypothesized as predictive of stress outcomes (i.e., psychosocial model of stress, school/teacher variables). Over 60% scored at…

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…

As intelligent textbooks become more ubiquitous in classrooms and educational settings, the need arises to automatically provide formative feedback to written responses provided by students in response to readings. This study develops models to automatically provide feedback to student summaries written at the end of intelligent textbook sections.…

Computer-assisted learning platforms (CALPS) increasingly include gamified elements to improve student outcomes by enhancing their engagement with content. Although evidence exists that gamified programs increase engagement and learning outcomes, there is little causal research on what programmatic mechanisms drive the effect between engagement…

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…

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…

The purpose of this paper is to extend and evaluate methods of "Bayesian historical borrowing" applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowing allows researchers to utilize information from previous data sources and to adjust the extent of borrowing based on the…