دانشگاه آزاد اسلامی واحد تهران جنوب

صفحه اصلی / نخستین همایش هوش مصنوعی و پژوهش های نوظهور: همگرایی انسان و سیستم های هوشمند

Human-Generative Artificial Intelligence Interaction in Grounded Theory Data Analysis: Advantages and Limitations

نویسندگان :

Elahe Alipour¹

1- دانشگاه آزاد اسلامی واحد تهران جنوب

کلمات کلیدی :

(Artificial intelligence (AI،generative artificial intelligence (GAI)،Research method،grounded theory

چکیده :

Integrating generative artificial intelligence (GAI)-based analytics with traditional methods can revolutionize qualitative research. GAI enables researchers to streamline research processes in a more efficient manner and produce more accurate results. With the increasing need for deeper insights, integrating this technology into Grounded theory (GT) can significantly enhance the level of analysis. By automating repetitive activities, such as data collection and basic coding, GAI gives researchers more time to think critically and interpret results. This interaction not only helps to strengthen qualitative analyses but also helps to generate evidence-based insights. Through these advances, researchers will be able to reach new dimensions of qualitative research. This article examines approaches to using GAI in GT analysis, discusses the important features of this technology in facilitating the process of qualitative data analysis, and also discusses the limitations associated with this application.