This study examines the impact of Generative Artificial Intelligence (GenAI) on academic research, focusing on its application to qualitative and quantitative data analysis. As GenAI tools evolve rapidly, they offer new possibilities for enhancing research productivity and democratising complex analytical processes. However, their integration into academic practice raises significant questions regarding research integrity and security, authorship, and the changing nature of scholarly work. Through an examination of current capabilities and potential future applications, this study provides insights into how researchers may utilise GenAI tools responsibly and ethically. We present case studies that demonstrate the application of GenAI in various research methodologies, discuss the challenges of replicability and consistency in AI-assisted research, and consider the ethical implications of increased AI integration in academia. This study explores both qualitative and quantitative applications of GenAI, highlighting tools for transcription, coding, thematic analysis, visual analytics, and statistical analysis. By addressing these issues, we aim to contribute to the ongoing discourse on the role of AI in shaping the future of academic research and provide guidance for researchers exploring the rapidly evolving landscape of AI-assisted research tools and research.

本研究探讨了生成性人工智能（GenAI）对学术研究的影响，尤其是在定性和定量数据分析中的应用。文章提出了如何负责和伦理地使用GenAI工具的新见解，并通过案例研究揭示了该工具在各种研究方法中的应用。研究表明，尽管GenAI提升了研究生产力，但其整合带来了关于研究完整性和道德的重要挑战。

生成性人工智能工具在学术研究中的应用及其对定性和定量研究方法的影响