Mathematical modeling plays an important role in improving students' interests and attitudes in reasoning, communicating and solving problems. In order to understand modeling in the popular mathematics textbooks for primary schools in China, this study developed a modeling framework for K-12 mathematics textbooks, and used content analysis method…

Outdoor environmental education programs frequently aim to influence participants' environmental values and behaviors. Published studies have frequently documented their success in doing so. However, few studies have examined the characteristics of programs in relation to accomplishing those goals. Using characteristics identified as important in…

The purpose of this study is to investigate teacher perceptions of Value-Added Models specifically as they relate to students with disabilities. Value-Added Models are designed to reward teachers for student growth while taking into account factors such as socioeconomic status and disabilities (Weigert, 2012). The study also examines the alignment…

We used the Stanford education data archive (SEDA) data to examine the heterogeneity among urban school districts in the United States. The SEDA 2.1 includes data sets on students' mathematics (Math) and English language arts (ELA) achievement from 2008 to 2014 at the district level. Growth mixture modeling was used to uncover the underlying…

Student growth percentiles (SGPs) are currently used by several states and school districts to provide information about individual students as well as to evaluate teachers, schools, and school districts. For SGPs to be defensible for these purposes, they should be reliable. In this study, we examine the amount of systematic and random error in…

The current research used longitudinal data from the National Institute of Child Health and Human Development Study of Early Child Care and Youth Development (N = 1,103) to examine the developmental autoregressive cascades of prosocial behavior, academic competence, and peer exclusion in Grades 3-6. The cascade paths revealed that Grade 3…

Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…

This article explains the process behind estimating a National Education Cost Model (NECM) and generating from that model projections of per-pupil costs to achieve 2016 national average outcomes (reading and math grades 3 to 8) across all districts in the United States, from 2019-20 to 2020-21. This article is a follow-up to a preliminary report…

As caseloads for special education teachers continue to rise and as more students with disabilities enter the regular education setting (U.S. Department of Education, 2016), the need for co-teaching, in which a special education teacher and regular education teacher work together in one classroom to meet all students' needs, is significant.…

Four-parameter models have received increasing psychometric attention in recent years, as a reduced upper asymptote for item characteristic curves can be appealing for measurement applications such as adaptive testing and person-fit assessment. However, applications can be challenging due to the large number of parameters in the model. In this…

We examine the relationship between absenteeism and achievement since the onset of COVID-19. Applying first-differences models to North Carolina administrative data, we estimate that each absence was associated with a 0.0032 standard deviation (SD) decline in math achievement in 2022-23. As students averaged 3.3 more absences in 2022-23 than…

One hundred four students aged 8 to 16 worked on one Fermi problem involving estimating the number of people that can fit in their school playground. We present a qualitative analysis of the different mathematical models developed by the students. The analysis of the students' written productions is based on the identification of the model of…

Our purpose was to examine different approaches to modeling the time-varying nature of exceptionality classification. Using longitudinal data from one state's mathematics achievement test for 28,829 students in Grades 3 to 8, we describe the reclassification rate within special education and between general and special education, and compare four…

The purpose of this longitudinal, mixed methods quasi-experimental study was to investigate the impact of balanced literacy coaching on teacher efficacy, practices, beliefs, and student achievement. The participants were third- through sixth-grade teachers from five elementary schools within the same south suburban Chicago public school district.…

Language comprehension is crucial to reading. However, theoretical models and recent research raise questions about what constitutes this multifaceted domain. We present two related studies examining the dimensionality of language comprehension and relations to reading comprehension in the upper elementary grades. Studies 1 (Grade 6; N = 148) and…