Software powered by artificial intelligence (AI) is used widely in the United States in education as a tool for teaching, administration, student assessment, and other purposes. Curriculum delivery, tutoring, support for students with disabilities and resource allocations are some of the applications of the technology. The normative, ideological,…

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…

In 2022, generative artificial intelligence (GenAI) chatbots like ChatGPT were released to the public and were rapidly embraced by many. Educational stakeholders are divided about whether to incorporate or ban chatbot usage in classrooms. Student engagement, a meta construct comprised of behavioral, cognitive, affective, and social components, is…

Education is becoming more integrated with technology use. As Ammanath (2023) described, the older generation of educators need to move past their fears of technological advances to find the potential to better prepare younger generations for an artificially intelligent world. This dissertation addresses how teachers perceive the use of artificial…

Today's youth are growing up in a world where artificial intelligence (AI) technologies shape how we live, work, play, socialize, and navigate our world. This rapid technological change is already significantly shifting individuals' lives and the opportunities they can obtain. Thus, researchers, educators, and government leaders must consider how…

This study explored how artificial intelligence (AI) can support teachers in reflecting on and improving their course design. Interviews were conducted with two university instructors after they interacted with an AI-powered dashboard visualizing relationships between course content, assessments, and student work. Thematic analysis revealed three…

In education, machine learning (ML), especially deep learning (DL) in recent years, has been extensively used to improve both teaching and learning. Despite the rapid advancement of ML and its application in education, a few challenges remain to be addressed. In this thesis, in particular, we focus on two such challenges: (i) data scarcity 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.…

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 advancements in generative AI technologies have provided various opportunities to enhance human resource development (HRD) activities. Scholars have discussed the benefits of using AI chatbots, a popular AI application, in training activities. Yet, the current literature still lacks a comprehensive understanding of how AI chatbots can be used…

ChatGPT and generative AI technologies have infiltrated our learning spaces, and, as a result, schools may be changed forever. While some educators may seek to ban the use of chatbots, motivated by a fear of the rampant plagiarism the technology might invite, I, however, write this dissertation with the intent of finding uses for AI as a…

The fast development and spread of artificial intelligence (AI) in the education field is prompting educational stakeholders to study how new AI technology will influence teaching and learning. The problem this basic qualitative study will address is the lack of teacher knowledge of artificial intelligence (AI) due to limited pedagogy, which is…

This qualitative phenomenological study examines faculty perceptions of generative AI in the social sciences and humanities in the United States. As generative artificial intelligence (AI) tools become more widely available on higher education campuses, concerns have arisen about faculty's preparedness to manage and address the use of these…

As the use of artificial intelligence (AI), especially machine learning (ML), has dramatically increased, K-12 schools have begun to deliver AI education; however, little is known about teachers' views on the field. This qualitative study investigated how U.S. high school computer science (CS) teachers conceptualize AI, the role of AI in their CS…