• Voggu Yamuna

The integration of Artificial Intelligence (AI) into academic research methodology and thesis writing is rapidly reshaping scholarly practices. As researchers navigate increasingly vast and complex information landscapes, traditional manual approaches often prove time-consuming and prone to human error. AI-driven tools, encompassing natural language processing (NLP), machine learning (ML), and data visualization, offer unprecedented capabilities for enhancing efficiency, accuracy, and the overall quality of research. This article provides a comprehensive examination of how AI is transforming various stages of the research process, from literature review and data analysis to writing and ethical considerations. It discusses the benefits, challenges, and emerging trends, such as AI-assisted hypothesis generation and automated peer review, that are defining the future of academic inquiry.

Artificial Intelligence (AI), Research Methodology, Thesis Writing, Academic Research, Machine Learning (ML), Natural Language Processing (NLP), Data Analysis, Literature Review, Scholarly Communication, Ethical AI, Research Automation, Generative AI, Academic Integrity, Digital Humanities, Scientific Discovery.

"ARTIFICIAL INTELLIGENCE IN RESEARCH METHODOLOGY AND THESIS WRITING: A TRANSFORMATIVE PARADIGM ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.239-244, February-2026, Available :http://www.jetir.org/papers/JETIRHJ06046.pdf

"ARTIFICIAL INTELLIGENCE IN RESEARCH METHODOLOGY AND THESIS WRITING: A TRANSFORMATIVE PARADIGM ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. pp239-244, February-2026, Available at : http://www.jetir.org/papers/JETIRHJ06046.pdf