AI在教育研究領域的應用系列（九）：AI應用與質化研究：AILYZE軟體在質性訪談分析應用案例

Applications of AI in Educational Research Series (IX): Applying AI in Qualitative Research: A Case Study of AILYZE for Interview Data Analysis

現今人工智慧（Artificial Intelligence, AI）運用於教育研究領域已日漸普及，受益於此項新技術，質性研究也因此開啟了數位轉型的新契機。本研究旨在深入探討AI在質性分析中的整合應用，並聚焦在AI工具AILYZE在處理質性訪談資料時的應用案例。透過基礎操作示範，展示了AILYZE協助研究人員在實際教育研究情境中應用經驗的考察，深入了解其運作方式、潛在效益與限制，並評估其對分析效率、資料詮釋深度以及研究人員角色的影響。本研究認為未來的質性研究應採納人機協作的模式，將AI視為一個強大的助手，不僅提升質性研究資料處理效率，也有助於集中精力於更高層次的解釋、理論建構與細微的分析。期望透過本研究，為教育研究領域有興趣利用AI工具進行質性分析的研究人員提供具體的應用經驗參考與實踐啟示。

The integration of artificial intelligence (AI) has garnered significant momentum within educational research, offering unprecedented opportunities for the digital transformation of qualitative research methodologies. This study investigates the integrated application of AI in qualitative data analysis, specifically examining the implementation of AILYZE, an AI-powered analytical tool, for the analysis of qualitative interview data within educational research contexts. Through basic operational demonstrations, this research showcases how AILYZE facilitates researchers’ work in authentic educational research settings, providing an in-depth examination of its operational mechanisms, potential benefits, and limitations. The study evaluates the impact of this tool on analytical efficiency, the depth of data interpretation, and the evolving role of researchers in the analytical process. Our findings suggest that future qualitative research should embrace a human-AI collaborative model, positioning AI as a powerful assistant that not only enhances the efficiency of qualitative data processing but also empowers researchers to concentrate on higher-level interpretation, theory construction, and nuanced analysis. This investigation aims to provide concrete application experiences and practical insights for educational researchers interested in leveraging AI tools for qualitative analysis.