探讨生成式AI在质性研究中的适用性及影响
To Vibe Research or Not to Vibe Research? Generative AI in Qualitative Research
- 区分小q与大Q研究范式判断AI使用可行性
- 研究者技能、伦理与偏好影响AI采纳决策
- 为软件工程领域质性研究提供实践参考
关于生成式AI是否适用于质性研究，学界存在激烈争论。本文梳理了该议题的广泛讨论及其对软件工程研究者的启示。研究范式（小q，即实证或后实证；大Q，非实证）是决定能否使用生成式AI的关键标准之一。除研究哲学与方法外，研究者的技能水平、伦理考量及个人偏好也共同影响其是否采用AI进行质性研究。
原文摘要 · Abstract (English)
There has been intense debate among qualitative researchers about whether generative AI is suitable for qualitative research. In this paper, we summarize the broader ongoing discussion of generative AI in qualitative research and its implications for software engineering researchers. The qualitative research approach, small-q (positivist or post-positivist) or Big Q (non-positivist), is among the major criteria for determining whether generative AI can be used in qualitative research. In addition to research philosophy and research approach, skills, ethics, and personal preferences also play a role in researchers' decisions about whether to use AI in qualitative research.
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