Exploring the Role of ChatGPT in Assisting Research Work and Writing Research Papers: A Study on ChatGPT AI Integration in Academic Writing

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Jennie Prajith, Vira Bharat Dhirajlal

Abstract

The rise of Artificial Intelligence (AI) has significantly impacted academic research and writing. ChatGPT, an AI-driven platform, offers tools to enhance efficiency and productivity in scholarly work by assisting with tasks like literature reviews, content generation, and data analysis. Despite its popularity, questions about originality, academic integrity, and over-reliance persist.  This study explores ChatGPT's role in improving academic writing and research efficiency and quality. It examines challenges such as maintaining originality, ethical concerns, and users' perceptions. The primary aim of this study is to explore the application of ChatGPT in academic research, using a practical example to provide insights and recommendations. Data collection for the study involved a thorough review of secondary sources, including published academic articles, credible websites, blogs, and relevant quantitative and qualitative artifacts. The methodology employed an introductory literature review approach, focusing on the analysis, synthesis, and interpretation of gathered information. Secondary data from academic studies contextualized ChatGPT’s role. Findings indicate that ChatGPT enhances productivity and writing quality, with users appreciating its ability to save time and generate structured content. However, challenges include risks of plagiarism, ethical concerns, and uneven adoption across demographics. The findings suggest that ChatGPT is a valuable tool for the initial stages of academic research, particularly in generating ideas and structuring research frameworks. However, the study also highlights several limitations. Specifically, ChatGPT exhibits challenges in synthesizing comprehensive literature reviews, providing accurate and verifiable citations, identifying precise research gaps, formulating robust problem statements, and performing advanced data analysis.

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