This study explores the intersection of human intelligence and Artificial Intelligence (AI) to design knowledge-in-use science assessments for supporting students' deep science learning. In the context of evolving educational paradigms, it seeks to harness AI tools (GPT), to enhance knowledge-in-use assessment design, ensuring equitable…

The potential of AI in K-12 education is vast, promising personalized learning experiences, enhanced engagement, and innovative instructional tools. However, its introduction into classrooms brings forth concerns ranging from ethics to teacher preparedness. Drawing on Christensen's concept of disruptive innovation, this study aims to assess and…

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.…

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…

This study examines the impact of Generative Artificial Intelligence (GAI) on teacher workload, burnout, and well-being at a large K-12 independent school in Hawaii. The research focused on teachers identified as innovators and early adopters to understand their experiences with GAI. A qualitative, phenomenological design was employed, using…

Generative AI has been expanding at an exponential rate since its widespread emergence in late 2022, yet limited research has explored its adoption or use among higher education faculty. Guided by the Diffusion of Innovations theory, this quantitative survey research study investigated higher education faculty's perceptions, adoption, and use of…

Higher education is examining artificial intelligence (AI) as a key to increasing productivity and efficiency as colleges race to remain relevant and competitive in a rapidly evolving industry. With the increase of students taking online classes, professors are looking for solutions to help maintain integrity with their testing remotely. AI has…

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 dissertation investigates how collective process-oriented documentation tools, combined with Natural Language Processing (NLP) techniques, can enhance knowledge construction in hands-on, open-ended learning environments, such as makerspaces. Through a three-year design-based research, the study developed and tested a collective documentation…

AI-enabled educational tools have great potential for enhancing learning and teaching, yet there is a notable lack of study on AI-focused professional development for K-12 teachers. This phenomenological study employed the TPACK framework to examine teachers' incorporation of AI and engagement in professional development activities. The use of a…

The exponential growth of digital libraries and the proliferation of scholarly content in electronic formats have made data mining and information retrieval essential tools for effectively managing, organizing, and disseminating knowledge. This thesis provides a comprehensive analysis of the advancements and challenges in these fields, with a…

Defenses against adversarial attacks are essential to ensure the reliability of machine learning models as their applications are expanding in different domains. Existing ML defense techniques have several limitations in practical use. I proposed a trustworthy framework that employs an adaptive strategy to inspect both inputs and decisions. In…

The purpose of this mixed-method survey-based study addresses the underexplored area of undergraduate student perceptions of artificial intelligences (AI) impact in academia, specifically within the FCSEI in Romania. This research study will provide comprehensive findings on how AI can revolutionize teaching methodologies, learning processes, and…

The purpose of this research study was to gain insight into the experiences of secondary English asynchronous distance educators using Intelligent Agents (IA), a technology on the Desire to Learn platform (D2L), that allows for course personalization. The need for this study was made evident through an extensive review of the impact of teacher…

This quantitative study surveyed 162 higher education faculty nationwide to examine attitudes toward artificial intelligence integration across academic disciplines and backgrounds. Using validated survey instruments, the study measured AI familiarity, usage, adoption readiness, perceived benefits, and concerns. Statistical analysis revealed…