Prospects and challenges in using generative AI tools in higher education institutions: perspectives of students and teachers/ Meng Zhang .--

Thesis (graduate)

College of Industrial Education .-- Doctor of Education major in Industrial Education Management: Technological University of the Philippines, 2024.

Includes bibliography:

This dissertation explores the prospects and challenges of integrating Generative
Artificial Intelligence (AI) tools in higher education institutions in the Philippines,
focusing on the perspectives of students and educators. Generative AI, represented by technologies such as ChatGPT, has emerged as a transformative
force in education, offering unprecedented opportunities for personalized learning, enhanced engagement, and innovative teaching methodologies. However, this
advent also introduces complexities, including ethical concerns, academic
integrity issues, and the need for robust infrastructural support. Through a
mixed-methods research design, this study addresses critical questions about the
awareness, application, and implications of Generative AI tools within select
Higher Education Institutions (HEIs) in the National Capital Region (NCR). The
research findings reveal varying levels of awareness and usage among students
and faculty, highlighting a significant potential for pedagogical innovation
alongside notable challenges such as ensuring equitable access and addressing
ethical considerations. The dissertation contributes to the discourse on integrating
Generative AI in education by providing a nuanced understanding of its potential
benefits and pitfalls. Recommendations for future research, policy formulation, and educational practice are presented, aiming to harness the positive aspects of
Generative AI while mitigating its challenges. This study adds to the global
conversation on academic technology and offers insights specific to the Philippine
context, suggesting pathways for the responsible adoption of Generative AI in
educational settings.