This dissertation explores the development and implementation of a community-based educational program, iDREAM, aimed at teaching minoritized youth about Artificial Intelligence (AI) with an emphasis on ethics and social justice. Partnering with two NGOs, this study integrates Culturally Sustaining Pedagogy (CSP) and Critical Computational…

Immunosuppressive therapy is vital for the success of a kidney transplant, yet it entails potential risks and side effects. The challenge lies in finding the right balance between suppressing the immune response enough to prevent rejection while minimizing the risk of infections, organ toxicity, and other complications associated with long-term…

Higher education institutions adopt conversational agents, or chatbots, to perform and automate certain business functions. While chatbots exist to support Enrollment Services, Financial Aid, and other departments within an institution, Institutional Research lacks options. Institutional Research supports higher education institutions by providing…

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…

A neurological disorder, along with several behavioral issues, may be to blame for a child's subpar performance in the academic journey (such as anxiety, depression, learning disorders, and irritability). These symptoms can be used to diagnose children with ASD, and supervised machine learning models can help differentiate between ASD traits and…

The objective of this study is to survey existing and emerging post-secondary computing and technology programs and employment trends in Pennsylvania to determine if college graduates are being prepared for careers in artificial intelligence. Due to low enrollment, colleges and universities are continually revising or restructuring their existing…

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,…

Artificial intelligence (AI) education in kindergarten through high school (K-12) is advancing in many countries, including the United States. The purpose of this research has been to better understand the impact of participation in an AI course on the sixth, seventh, and eighth-grade students' overall interest, career interest in AI, and…

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…

Research in artificial intelligence has made great strides in developing 'cognitive tutors' that teach a range of technical skills. These automated tutors allow students to practice, observe their mistakes, and provide personalized instructional feedback. Evidence shows that these methods can increase learning above and beyond traditional…

Cybersecurity awareness training plays a vital role for organizations in guaranteeing resources' availability. Sufficient education regarding security awareness necessitates relating both the scope and importance of the training. This research determines the correlation between an employee's risk score and the effectiveness of AI-based security…

Popular platforms such as Facebook and Twitter integrate third-party apps from developers to enhance the experience of their users. While third-party apps are widely used to provide legitimate functionality, the abuse of third-party apps by attackers is also becoming prevalent. Attackers are abusing third-party apps to orchestrate their malicious…

This study mainly talks about U.S. PhD education and applications of machine learning methods. On one hand, PhD education, as a way to cultivate future researchers, attracts a lot of attention. On the other hand, machine learning methods are utilized more and more often in academic research. This study, as an attempt, would like to contribute to…

The results of an industry research survey showed, understanding Dissertation Research categories has not been the focused on many researchers and institutions. This research expands on machine learning methodologies using two similar datasets to answer these three questions: 1. Is there a way to track the trends of Pace University's Doctor of…

Three studies were conducted to explore machine learning support of novel learning problems. The first was a study of a computer-supported online learning website, which was designed to support teachers improving their pedagogy and this work created a data-first approach for Linguistic pedagogy, and to support improved pedagogy delivery and…