Generative AI in Research Writing: An Exploratory Factor Analysis

This study investigates the opportunities and challenges associated with the use of Generative Artificial Intelligence (GenAI) in research writing among graduate students and instructors. Employing a descriptive research design utilizing exploratory factor analysis (EFA), the study examines the underlying dimensions of GenAI utilization in academic writing within selected state universities. Quantitative data were collected through survey questionnaires administered to graduate students and faculty members to determine patterns of GenAI use, perceived benefits, and existing concerns.
Findings reveal that both students and instructors widely utilize GenAI for cognitive and compositional support, including idea generation, content organization, language refinement, grammar correction, and formatting assistance. Exploratory factor analysis identified multiple dimensions underlying GenAI utilization, highlighting its role in enhancing writing efficiency, research development, and higher-order thinking skills. The results further indicate that GenAI functions as both a cognitive and technical support tool that contributes to improved productivity and the overall quality of academic writing.
However, the findings also reveal significant concerns related to ethical issues, academic integrity, unreliable AI-generated outputs, and the lack of clear institutional policies governing AI use in academic contexts. Respondents emphasized the importance of accountability, transparency, and critical evaluation of AI-generated content to maintain scholarly standards. Despite these challenges, the study concludes that GenAI presents substantial opportunities to support research writing when used responsibly and ethically. The study recommends the development of institutional guidelines, AI literacy initiatives, and ethical frameworks to ensure that GenAI complements rather than replaces human critical thinking and academic integrity in academic research and writing.

Generative Artificial Intelligence, Research Writing, Opportunities, Challenges

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