The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…

This three-manuscript dissertation attempts to answer the question: "How does students' English language proficiency (ELP) inform the availability, structure, and use of English language accommodations and intervention to support the academic achievement of English learner (EL) students?" The question is addressed using three independent…

Automated assessment using Natural Language Processing (NLP) has the potential to make English speaking assessments more reliable, authentic, and accessible. Yet without careful examination, NLP may exacerbate social prejudices based on gender or native language (L1). Current NLP-based assessments are prone to such biases, yet research and…

Foreign language placement testing, an important component in university foreign language programs, has received considerable, but not copious, attention over the years in second language (L2) testing research (Norris, 2004), and it has been mostly concentrated on L2 English. In contrast to validation research on L2 English placement testing, the…

This dissertation explored whether unnecessary linguistic complexity (LC) in mathematics and biology assessment items changes the direction and significance of differential item functioning (DIF) between subgroups emergent bilinguals (EBs) and English proficient students (EPs). Due to inconsistencies in measuring LC in items, Study One adapted a…

The present dissertation investigated the impact of scales/scoring methods and prompt linguistic features on the measurement quality of L2 English elicited imitation (EI). Scales/scoring methods are an important feature for the validity and reliability of L2 EI test, but less is known (Yan et al., 2016). Prompt linguistic features are also known…

Existing methods used to validate self-report questionnaires in foreign language teaching effectiveness have relied on Classical Test Theory (CTT). However, the use of CTT approaches limits the reliability and validity of self-report instruments. The Rasch Model, which is based on the principles of objective measurement, addresses some of the…

Data literacy is crucial for adolescents to access and navigate data in today's technology-driven world. Researchers emphasize the need for K-12 students to attain data literacy. However, few available instructions have incorporated validated assessments. Therefore, I developed and implemented the Data literacy Assessment for Middle graders…

The use of unidimensional scales that contain both positively and negatively worded items is common in both the educational and psychological fields. However, dimensionality investigations of these instruments often lead to a rejection of the theorized unidimensional model in favor of multidimensional structures, leaving researchers at odds for…

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…

The following is a five-chapter dissertation surrounding the use of text mining techniques for better understanding the language of mathematics items from standardized tests to improve linguistic equity of these items to support assessment of English Language Learners. Introduction: The dissertation begins with an overview of the problem that…

This mixed methods study aimed to categorize and analyze the frequencies and percentages of complex thinking in the PARCC practices assessments in English Language Arts grade 10 and Geometry. The Hess' Cognitive Rigor Matrix was used for the first part of the study to code each of the PARCC assessment questions in Language Arts grade 10 and…

The idea of student engagement as a predictor of student success was first introduced by Alexander Astin (1974; 1984) who studied student involvement. The connection of student involvement and student success has led to the focus on student and how we measure it to ensure that institutions are doing all they can to improve outcomes. Nothing has…

Because language provides the framework through which knowledge is constructed, it is crucial to consider the ways in which students with limited English proficiencies are able to express their understanding. English language learners (ELLs) make up a significant portion of the student body in the education system and represent many ethnic and…

Under the framework of item response theory (IRT) and generalizability (G-) theory, this study examined the effects of item difficulty on rating reliability and construct validity on both the constructed-response (CR) items and essay items on English examinations. The data collected for this study were students' scores and responses on the two…