Ứng dụng công cụ trí tuệ nhân tạo Memobot vào phân tích dữ liệu định tính từ phỏng vấn bán cấu trúc: Kinh nghiệm và khuyến nghị

Tóm tắt

Analyzing qualitative data from semi-structure interviews play a crucial rule in qualitative research. This study explores the effectiveness of Memobot, an artificial intelligence (AI) tool, in processing and analyzing qualitative data from interviews. Through an experimental study at Hoa Lu University, the research team applied Memobot to automatically transcribe, summarize content, and identify key themes from 11 interviews with students. The results showed that Memobot saves time, increases accuracy, and reduces errors compared to manual methods. However, the study also pointed out some limitations including limited ability to recognize local accents, accuracy dependence on audio quality, and inability to replace humans in interpreting linguistic nuances. The study proposes combining Memobot with other analysis tools such as NVivo while training researchers on AI and improving data security. The study contributes to the field of AI applications in social sciences, opening up research directions on integrating AI into advanced qualitative analysis, helping to optimize educational and social research.