Building upon the foundational Home Literacy Environment (HLE) model, this study developed a contemporary framework that integrates digital literacy practices and the emerging role of Artificial Intelligence (AI) technologies, such as ChatGPT, alongside traditional literacy activities. Utilizing hierarchical linear regressions, findings from 74…

Industries worldwide have adopted Artificial Intelligence's (AI) Machine Learning (ML) cognitive business functions to gain performance, productivity, competitive advantage, and economic prosperity. World Economic Forum (2020) reported that ML is on top of technology adoption. In the light of ML redefining management functions, not much is known…

This study uses an experimental comparative design to accomplish two primary goals related teachers' perceptions of automated writing evaluation (AWE) performance. First, it quantitatively and qualitatively examines teachers' perceptions of the accuracy and trustworthiness of differentially performing AWE models. Second, it synthesizes interview…

This dissertation consists of two separate studies exploring current and emerging technologies for education. The current technology is presented in the first study as an open educational resource (OER) for language learning. This study explored the affordances of OERs for language by comparing a traditional textbook and an OER web-book in terms…

This study investigates student perceptions of artificial intelligence (AI). The study analyzed four independent variables -- age, gender, school, and employment -- to predict students' level of readiness to adopt AI within an educational setting. Using an instrument with two constructs, data was collected from a diverse, multicultural group of…

With recent advances in generative artificial intelligence, it may come as no surprise that AI influences our society in profound ways. This dissertation project examines how educational and social media platforms and their algorithms shape educational practices and the identity, digital literacies and views of middle school youth participants.…

The primary goal of this dissertation is to contribute to a predictive model of Spanish heritage grammars by applying recent advancements in machine learning to ferret out factors and covariates that give rise to the Spanish subjunctive. Given that "[p]redictive models would entail that we have a far better understanding of the various…

The integration of behavioral sensing and Artificial Intelligence (AI) has increasingly proven invaluable across various domains, offering profound insights into human behavior, enhancing mental health monitoring, and optimizing workplace productivity. This thesis presents five pivotal studies that employ smartphone, wearable, and laptop-based…

The Hispanic student population is growing at a fast pace in the United States. This population is more likely to be first-generation students than their peers and thus, require additional support. Advances in technology make it possible to leverage artificial intelligence and machine learning to support students at scale presenting an opportunity…

This qualitative case study addresses the rise in popularity of the use of predictive text programs within the K-12 educational environment. A problem exists in the discrepancy between the widespread availability of Google Smart Compose within Google Docs, an AI predictive text tool, within the school environment, and a distinct lack of research…

New Jersey consistently ranks as one of the top-performing states in the country when it comes to education. Most recently, it was ranked third in the nation. A look at the state's standards in any subject shows the state works diligently to vertically align standards while also challenging students in order to better prepare them for the future…