RENEWING SOCIOLOGICAL ANALYSIS TOOLS IN THE AGE OF ARTIFICIAL INTELLIGENCE: A CRITICAL ASSESSMENT OF THE EXPERIENCES WITH MONKEYLEARN, NVIVO AI, AND ATLAS. TI

This study aims to evaluate the effectiveness of artificial intelligence applications in renewing sociological analysis tools among postgraduate students, particularly those who are delayed in completing their scientific research. The study focuses on three primary applications: MonkeyLearn, NVivo AI, and Atlas. The descriptive-analytical approach was adopted, and the interview form was used as the principal tool, targeting a purposive sample of postgraduate students (Doctorate of Science and LMD Doctorate). The findings of this study indicate that these tools have significantly contributed to expediting the analysis process and reducing the required effort and time. Moreover, they have proven effective in the precise and advanced development and completion of scientific research, with notable quality in sociological analysis and in reducing delays in completion. The study recommends providing the necessary training and technical support. The emergence of artificial intelligence as a powerful tool in the digital age represents one of the novel approaches that has introduced a qualitative shift in scientific research, particularly from a sociological perspective. This transformation is achieved through the integration and renewal of applications beyond ChatGPT, thereby facilitating faster and more accurate analysis. In addition, these tools are capable of processing both quantitative and qualitative data in ways that rival the human intellect, presenting a new digital leap manifested in objective analysis.