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…

In this study, the researcher explored the experiences of adult learners in Nigerian universities using smartphones and mobile learning applications to access, facilitate, and enhance learning. The study focused on how these technologies impact students' learning, particularly seamless access to numerous learning resources, enjoyment, cost, and…

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…

The purpose of this quantitative correlational study was to assess if and to what extent effort expectancy, performance expectancy, social influence and facilitating conditions were related to behavioral intention to accept an app for anticoagulation management among providers, mid-level providers and nursing staff in a Department of Public Health…

Postsecondary faculty do not provide detailed, individualized, and timely feedback to students, although faculty and students consider feedback an integral aspect of higher education. Text expander technology, or software programs that automatically convert snippets of predetermined text into longer phrases, can aid postsecondary faculty in…

This dissertation consists of three papers. In each paper, I leverage a different quantitative method to study a downstream effect of technology on educational outcomes. In the first paper, I study the impact of an online math learning program on 3rd through 5th grade math achievement in Louisiana. Employing Zearn Math usage metrics and…

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…

This dissertation offers a critical analysis of software practices within the university and the ways they contribute to a broader status quo of software use, development, and imagination. Through analyzing the history of software practices used in the production and circulation of student and scholarly writing, I argue that this overarching…

The purpose of this mixed methods study was to employ the International Society for Technology in Education (ISTE) Standards for Students as taxonomy to classify educational mobile application (app) software into seven categories and empirically examine the influence on students' technology literacy. A purposeful sample of fifth grade core subject…

Visions of future computing in residential settings often come with assumptions of seamless, well-functioning, properly configured devices and network connectivity. In the near term, however, processes of setup, maintenance, and troubleshooting are fraught with difficulties; householders regularly report these tasks as confusing, frustrating, and…

The purpose of this survey research was to determine the diffusion of digital radiography, the electronic oral health record (EOHR), digital intraoral photography, and diagnosis and clinical decision-making support software into the dental offices of Nevada. A cross-sectional survey design was utilized with a random sample of 600 Nevada dentists.…