AcademiaOS：利用大型语言模型自动化定性研究中的扎根理论开发
AcademiaOS: Automating Grounded Theory Development in Qualitative Research with Large Language Models
AI总结：
AcademiaOS利用大型语言模型自动化定性研究中的扎根理论开发，通过编码访谈数据并构建理论模型，用户研究显示其获学界认可且能增强人类能力，已开源。
摘要：
AcademiaOS是首次尝试利用大型语言模型自动化定性研究中的扎根理论开发。借助近期大型语言模型的语言理解、生成和推理能力，AcademiaOS对精选的定性原始数据（如访谈记录）进行编码，并开发主题和维度，以进一步构建扎根理论模型，从而提供新颖见解。一项用户研究（n=19）表明，该系统在学术界获得认可，并展现出在定性研究中增强人类能力的潜力。AcademiaOS已开源，供他人在此基础上构建并适应其用例。
英文摘要：
AcademiaOS is a first attempt to automate grounded theory development in qualitative research with large language models. Using recent large language models' language understanding, generation, and reasoning capabilities, AcademiaOS codes curated qualitative raw data such as interview transcripts and develops themes and dimensions to further develop a grounded theoretical model, affording novel insights. A user study (n=19) suggests that the system finds acceptance in the academic community and exhibits the potential to augment humans in qualitative research. AcademiaOS has been made open-source for others to build upon and adapt to their use cases.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
