2024/12/01 by Soraya HAMANE & Nezha DJELLAL AMEUR
#FOS: Languages and literature
paper · doi:10.48734/akofena.n5v1.41.22
Abstract: This article examines the growing role of artificial intelligence (AI) in enhancing academic research methodologies, particularly for master’s students. As research becomes increasingly complex and requires rigorous methods, students often face challenges such as managing large volumes of information and analyzing data. The primary question addressed is how AI can serve as a tool to overcome these obstacles, optimize research processes, and improve the quality of master’s theses. The goal of this study is to analyze the theoretical contributions of AI to research methodologies without relying on empirical data. The article identifies potential AI applications in data collection, analysis, and information synthesis, while also examining the benefits and limitations of these approaches. Findings suggest that AI can transform how students approach their research, notably through automated literature searches and enhanced data analysis. However, ethical considerations and algorithmic biases are also discussed. The methodology includes a systematic review of relevant sources, leading to well-informed conclusions on the theoretical contributions of AI. The value of this article lies in its ability to provide a synthesis of knowledge on AI as a methodological tool, offering a new perspective for master’s students seeking to enhance their research practices. Keywords: Artificial Intelligence; Research Methodology; Master’s Students; Document Analysis; Automation