The purpose of this qualitative study was to learn how digital-native college students perceive of cheating and plagiarism. Today's students grew up with high-speed internet, smartphones, and instant access to information. Their learning environment was greatly altered during the COVID-19 pandemic, shifting many from in-person to online learning.…

This dissertation comprises work developing and leveraging technology as a means to aid student learning as well as to provide access to course-specific information. As technology continues to advance, tools are being developed and adopted by instructors to help fill gaps in previous systems and further extend their usefulness in the classroom.…

This phenomenological dissertation in practice explored the transformative impression of artificial intelligence (AI) on the academic achievement of historically excluded learners within post-secondary education. This research, reinforced by feedback intervention theory, systems theory, and the theory of academic optimism and student achievement…

In the dynamic landscape of fashion, the integration of Generative Artificial Intelligence technology (GAI) stands as a transformative force. Fashion professionals and students must adapt to this technological shift, recognizing AI's pivotal role in enhancing product development. This paper explores the incorporation of GAI into fashion curricula…

The field of Data Science has seen rapid growth over the past two decades, with a high demand for people with skills in data analytics, programming, statistics, and ability to visualize, predict from, and otherwise make sense of data. Alongside the rise of various artificial intelligence (AI) and machine learning (ML) applications, we have also…

Identifying preferred stimuli is an initial step in many evidence-based educational programs for young children. Preference assessments, such as the Multiple Stimulus Without Replacement (MSWO), provide an empirically validated way of identifying and ranking these stimuli. Traditional methods of training professionals to implement MSWO often…

This study investigated middle school students' Artificial Intelligence (AI) literacy, focusing on cognitive and affective dimensions with regard to learning about AI. Fourteen middle school students participated in a five-day summer camp. They engaged in a project-based AI literacy program with hands-on activities, data collection and modeling,…

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…

This phenomenological study explores the experiences of machine translation (MT) use among Chinese undergraduates in a Chinese-foreign, English medium instruction (EMI), joint degree program in southern China. Advancements in MT technology have raised questions about its application in academic settings, particularly in foreign and second language…

This dissertation explores the strategies of personalized learning through AI and its effectiveness, with a focus on third-grade mathematics education. The primary objective is to investigate how AI tools can tailor learning experiences to individual needs, particularly for students who struggle academically, and thereby help reduce educational…

The dissertation consists of three studies that are the process of designing, developing, and evaluating generative-AI-powered story-authoring platforms for children. The first study focuses on the formative study on how stakeholders in education (i.e., teachers, parents, and students) perceive and leverage generative AI platforms (i.e., ChatGPT…

As Artificial Intelligence (AI) becomes increasingly ubiquitous in society, conversational agents such as Siri, Alexa, and ChatGPT are shaping the experiences of younger generations. However, these young users often lack opportunities to learn about the inner workings of these AI technologies. One way to foster such learning is by empowering…

This research study employed quantitative and qualitative designs to explore the impact of immersive technology on the Computational Thinking (CT) capabilities of students enrolled in an engineering program at a Historically Black College or University (HBCU). The quantitative study in this research employs a survey design approach to explore the…

The purpose of this study was to explore faculty members' lived experiences with student resistance in a gateway STEM classroom. A comparative investigation was done of the case study population to evaluate differences in experiences in active learning classes that use LAs (LAF) and classes that use more passive methods without LAs (NLA). The…

Online educational resources (e.g., curricula, tutorials, documentation, Q&A sites) increasingly serve as key sources for secondary school students learning Computer Science Principles (CSP). A big obstacle to using these resources is finding information appropriate for the learning task and learner's background. Research shows that secondary…