This study highlights the role and importance of advanced, machine learning-driven predictive models in enhancing the accuracy and timeliness of identifying students at-risk of negative academic outcomes in data-driven Early Warning Systems (EWS). K-12 school districts have, at best, 13 years to prepare students for adulthood and success. They…

The emergence of digital-first assessments is prompting reconsideration of, and innovation in, aspects of psychometrics, test validation, and test use. Using the Duolingo English Test (DET) as an example, this three-paper series seeks to address issues concerning the estimation of classification consistency and the reporting of results for such…

Computer-based technological tools can be an efficient and effective way to enhance mathematics classroom activities like formative assessment. Whilst there are a number of theoretical frameworks and standards to help pre- and in-service teachers understand the individual complexities of mathematics pedagogy, technology integration, and formative…

In educational measurement, Item Response Theory (IRT) provides a means of quantifying student knowledge. Specifically, IRT models the probability of a student answering a particular item correctly as a function of the student's continuous-valued latent abilities [theta] (e.g. add, subtract, multiply, divide) and parameters associated with the…

Pragmatic competence has been increasingly recognized as a component of academic language proficiency assessment (Youn, 2018). However, the practicality of administering L2 pragmatic competence assessments involving interlocutors remains problematic (e.g., high labor cost) (Ikeda, 2017). The pandemic makes it even more difficult to administer…

Measurement errors attributable to cultural issues are complex and challenging for educational assessments. We need assessment tests sensitive to the cultural heterogeneity of populations, and psychometric methods appropriate to address fairness and equity concerns. Built on the research of culturally responsive assessment, this dissertation…

This dissertation describes an experiment to investigate how learners with different levels of background in computer science learn core concepts of computer science, in particular, algorithms. We designed a study to focus on cognitive task analysis for eliciting the empirical mental elements of learning two graph algorithms. Cognitive workload…

To meet the needs of complex and/or underserved patient populations, health care professionals must possess diverse backgrounds, qualities, and skill sets. Holistic review has been used to diversify student admissions through examination of non-cognitive attributes of health care applicants. The objective of this study was to develop a novel…

Vocabulary researchers have started expanding their assessment toolbox by incorporating timed tasks and psycholinguistic instruments (e.g., priming tasks) to gain insights into lexical development (e.g., Elgort, 2011; Godfroid, 2020b; Nakata & Elgort, 2020; Vandenberghe et al., 2021). These timed sensitive and implicit word measures differ…

Item exposure control is, relative to adaptive testing, a nascent concept that has emerged only in the last two to three decades on an academic basis as a practical issue in high-stakes computerized adaptive tests. This study aims to implement a new strategy in item exposure control by incorporating the standard error of the ability estimate into…

Compressed time from matriculation to graduation prevalent in executive graduate degree programs means that traditional methods of identifying deficiencies in student writing during the course of study may not provide timely remediation enabling for student success. This study examined a writing-intensive, 10-month executive graduate degree…

With the online assessment becoming mainstream and the recording of response times becoming straightforward, the importance of response times as a measure of psychological constructs has been recognized and the literature of modeling times has been growing during the last few decades. Previous studies have tried to formulate models and theories to…

The purpose of this research is to provide information about the psychometric properties of technology-enhanced (TE) items and the effects these items have on the content validity of an assessment. Specifically, this research investigated the impact that the inclusion of TE items has on the construct of a mathematics test, the technical properties…

Latinx dual language learners (DLLs) are an enormous and growing student body that faces educational adversities and inequities. One of the most salient findings to emerge from decades of educational research is that DLLs who close the gap with their monolingual peers and have the best long-term academic performance are those who develop strong…

Recent legislation such as No Child Left Behind and the Performance Evaluation Reform Act (PERA) increasingly pressure teachers and schools to be accountable for instructional time in the form of improved test scores. As a result, students are given an increasing variety of assessments in a given school year in an attempt to measure academic…