Educational research outcomes frequently rely on an assumption that measurement metrics have interval-level properties. While most investigators know enough to be suspicious of interval-level claims, and in some cases even question their findings given such doubts, there is a lack of understanding regarding the measurement conditions that create…

To make sense of our interconnected and algorithm driven world, students increasingly need proficiency with computational thinking (CT), systems thinking (ST), and computational modeling. One aspect of computational modeling that can support students with CT, ST, and modeling is testing and debugging. Testing and debugging enables students to…

While countless studies have collected data on the effectiveness of various problem-solving models, few have attempted to identify which components of the training process are helpful to participants. Two teacher teams consisting of seven participants were trained in an adapted version of the Team-initiated Problem Solving (TIPS) model, observed…

The effectiveness of the student conduct approaches of the mixed method model, a mixture of restorative justice and traditional sanctioning, and traditional sanctioning, known as the "model code," in student learning at historically Black colleges and universities (HBCUs) has been largely unexamined in existing literature. This…

The past thirty years have shown a rise in models of language acquisition in which the state of the learner is characterized as a probability distribution over a set of non-stochastic grammars. In recent years, increasingly powerful models have been constructed as earlier models have failed to generalize well to increasingly complex and realistic…

Because non-cognitive constructs can influence student success in education beyond academic achievement, it is essential that they are reliably conceptualized and measured. Within this context, there are several gaps in the literature related to correctly interpreting the meaning of scale scores when a non-standard response option like I do not…

A neurological disorder, along with several behavioral issues, may be to blame for a child's subpar performance in the academic journey (such as anxiety, depression, learning disorders, and irritability). These symptoms can be used to diagnose children with ASD, and supervised machine learning models can help differentiate between ASD traits and…

This dissertation in practice investigated and addressed the issue of low faculty engagement with instructional design support (IDS) office support services at a regional comprehensive university in the United States. The Performance Improvement/Human Performance Technology (PI/HPT) model used in this study is a practitioner-based performance…

This dissertation examined the contribution of higher education to the understanding and practice of women's empowerment, as perceived by adult Afghan men and women living in the city of Kabul who attended universities either in or out of Afghanistan. While studying the concept of women's empowerment, this work defined empowerment through its core…

This multiple-manuscript dissertation explored the measurement invariance (MI) testing with multiple-group confirmatory factor analysis (MG-CFA) approach from different perspectives. Study 1 explored MI from a theoretical perspective by conducting a systematic review study on MI practices in education. The findings of this study indicated…

Categorical data become increasingly ubiquitous in the modern big data era. In this dissertation, we propose novel statistical learning and inference methods for large-scale categorical data, focusing on latent variable models and their applications to psychometrics. In psychometric assessments, the subjects' underlying aptitude often cannot be…

This dissertation developed a new learner corpus of Japanese and introduced an error and linguistic annotation scheme specifically designed for Japanese particles. The corpus contains texts written by learners who are in the first year to fourth year university level Japanese courses. The texts in the corpus were tagged with part-of-speech and…

The purpose of this qualitative descriptive study was to explore how high school teachers describe problem-based learning as an instructional model for student learning in various academic disciplines in the United States. The research was grounded in constructivist learning theory and Problem-based learning (PBL). The study addressed two research…

This study investigated how problem-solving videos can be used in video-mediated professional learning to support secondary preservice mathematics teachers (PMTs) in developing teacher knowledge for noticing student thinking in the context of the derivative concept in calculus. A model of the trajectory of PMTs' noticing was constructed as six…

In language learning, aided language modeling refers to the method by which communication partners provide models of the communication system used by individuals with complex communication repertoires that involving both symbols and speech. Providing aided language models creates opportunities for individuals with complex communication repertoires…