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University of Phoenix Scholars Reveal Insights on Generative AI’s Role in Higher Education

University of Phoenix researchers reveal that generative AI tools enhance doctoral research and writing efficiency while emphasizing the need for ethical guidelines in academia.

PHOENIX, March 13, 2026 /PRNewswire/ — A team of scholars from the University of Phoenix College of Doctoral Studies has released research examining the role of generative artificial intelligence (GenAI) tools in higher education. The study, titled “Academic Applications of Generative Artificial Intelligence Tools: A Scoping Review,” is published in the peer-reviewed International Journal of Digital Society.

Researchers Patricia Akojie, Ph.D., Marlene Blake, Ph.D., and Louise Underdahl, Ph.D. analyze the current academic literature on the application of GenAI technologies, including popular tools like ChatGPT. Their work focuses on how these technologies impact doctoral research, academic writing, literature reviews, and knowledge development. Employing a scoping review methodology, the scholars identify emerging trends in AI adoption across educational institutions while emphasizing the necessity for ethical guidelines and academic integrity.

Key findings from the study reveal that generative AI tools are becoming integral to academic workflows, aiding in tasks such as literature reviews, research brainstorming, and writing assistance. The research highlights that AI can enhance efficiency and stimulate idea generation, particularly in complex academic endeavors like synthesizing extensive literature. However, it also underscores that ethical considerations, including transparency regarding AI usage and the preservation of original scholarly analysis, are paramount.

“Generative AI tools are rapidly changing how scholars approach research and academic writing,” said Akojie, the lead author. “Our review synthesizes emerging evidence so educators, doctoral students, and institutions can better understand how to integrate AI responsibly while preserving the rigor and critical inquiry that define scholarly work.”

Furthermore, the study suggests that doctoral education would benefit from AI literacy training, enabling researchers to grasp both the capabilities and limitations of generative AI technologies. The authors advocate for clearer institutional policies to foster responsible AI adoption within research and teaching contexts.

The authors are affiliated with the Center for Educational and Instructional Technology Research (CEITR) at the University of Phoenix, which is dedicated to exploring how emerging technologies, including AI, reshape teaching and research practices in digital environments. They are active participants in CEITR’s Phoenix AI Research Group, which aims to further AI’s role in education through innovative research projects focused on human and artificial cognition, AI-enhanced learning, and the integration of AI across various disciplines.

The publication adds to the growing body of scholarship that examines generative AI in higher education, particularly concerning ethical AI use in academic research and AI-enabled learning. These topics are increasingly significant as universities adapt to new digital tools and evolving workforce expectations.

The full article, “Academic Applications of Generative Artificial Intelligence Tools: A Scoping Review,” is available in the International Journal of Digital Society.

The College of Doctoral Studies at the University of Phoenix is dedicated to addressing contemporary business and organizational challenges. Its research program, based on the Scholar, Practitioner, Leader Model, positions students at the center of the Doctoral Education Ecosystem®, providing them with the resources and tools necessary to emerge as leaders in their fields.

Through innovative approaches, the University of Phoenix seeks to support working adults in enhancing their careers and developing skills relevant to a rapidly changing world. With flexible schedules and a commitment to career support, the institution aims to help students navigate their educational and professional aspirations effectively.

SOURCE University of Phoenix

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David Park
Written By

At AIPressa, my work focuses on discovering how artificial intelligence is transforming the way we learn and teach. I've covered everything from adaptive learning platforms to the debate over ethical AI use in classrooms and universities. My approach: balancing enthusiasm for educational innovation with legitimate concerns about equity and access. When I'm not writing about EdTech, I'm probably exploring new AI tools for educators or reflecting on how technology can truly democratize knowledge without leaving anyone behind.

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