School value-added models are widely applied to study, monitor, and hold schools to account for school differences in student learning. The traditional model is a mixed-effects linear regression of student current achievement on student prior achievement, background characteristics, and a school random intercept effect. The latter is referred to…

Historically, colleges have used standardized testing to determine whether a student is ready for college-level work or requires developmental courses first, but this method has been criticized as inaccurate. To obtain more accurate placements, nearly three-quarters of colleges now use multiple measures assessment (MMA) systems. These systems…

Early identification of students needing additional support is a foundational component of Multi-Tiered Systems of Support (MTSS). Due to the resource-intensive nature of implementing MTSS, it is critical that universal screening procedures are maximally accurate and efficient. The purpose of this study was to compare the classification accuracy…

The purpose of this study was to conduct a conceptual replication of Pendergast et al.'s (2018) study that examined the diagnostic accuracy of a nomogram procedure, also known as a naive Bayesian approach. The specific naive Bayesian approach combined academic and social-emotional and behavioral (SEB) screening data to predict student performance…

This dissertation investigates the application of network models in educational assessment across diverse learning settings, encompassing both clinical and classroom environments. As educational paradigms shift and digital tools become more embedded in learning processes, traditional assessment methods often fall short in effectively capturing the…

For academic success, it is increasingly important that students of all ages can produce and comprehend expository discourse. This article provides guidance to clinicians and educators on using language sample analysis (LSA) to assess the expository language abilities of students across grades. Focusing on microstructural and macrostructural…

Classroom-based language assessments mainly include formative assessment and summative assessment, which are the most commonly used evaluation methods. The present study adopts a contrastive method to analyze the two types of assessments. Results of the study show that: 1) the characteristics of formative assessment contain teachers' adaptation to…

Dynamic Assessment (DA) is an implicit kind of assessment that most teachers and learners engage in during class time. Although there exists a body of research on the promising effects of DA, the studies have not compared the results across proficiency levels. This study examined the effect of interventionist approach to DA on Iranian English as a…

This research will investigate the impact of awarding centre assessment grades (CAGs) on the education system. The focus will be on the progression to post-16 study of the students who sat General Certificate of Secondary Education (GCSE) and/or other Level 1/2 qualifications in June 2020. The uptake of qualifications/subjects taken during the…

The purpose of this study was to compare undergraduate students' academic performance and attitudes about statistics in the context of two different types of assessment structures for an introductory statistics course. One assessment structure used in-class quizzes that emphasized computation and procedural fluency as well as vocabulary…

Model evaluation -- the process of making inferences about the performance of predictive models -- is a critical component of predictive modelling research in learning analytics. We survey the state of the practice with respect to model evaluation in learning analytics, which overwhelmingly uses only naïve methods for model evaluation or…

Sweden possesses a highly deregulated school system in which students in the compulsory school system are free to choose almost any school they prefer. This study focuses on the long-term difference in educational level twelve years after finishing elementary school for students who made a school choice compared to those who did not. The study…

Measures of student disadvantage--or risk--are critical components of equity-focused education policies. However, the risk measures used in contemporary policies have significant limitations, and despite continued advances in data infrastructure and analytic capacity, there has been little innovation in these measures for decades. We develop a new…

As the theme of the 2022 annual meeting of the American Education Research Association, cultivating equitable education systems has gained renewed attention amid an increasingly diverse society. However, systemic inequalities persist for traditionally underserved student populations. As a way to better address diverse students' needs, it is of…

Whether someone has ever had free school meal (FSM) eligibility over a six-year period is the measure of socio-economic disadvantage currently used in the English school system. It is used to monitor the socio-economic gap in achievement in the education system, to identify particular children at risk of low achievement and to direct funding to…