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Session Type: Paper Session
Recent advances in AI have various implications for qualitative research analysis. Papers in this session consider the methodological and synergistic implications for analysis of a variety of data.
Methodological Considerations for Using Gen-AI in Qualitative Text Analysis - Nicole Narkiewicz, University of Central Florida; Audra Skukauskaite, University of Central Florida
Enhancing Qualitative Data Analysis: The Synergistic Role of Human Expertise and Generative AI - Yuqing Liu, Ohio University; Joshua Osondu, Ohio University; Emmanuel Awunkori, Ohio University; Yuchun Zhou, Ohio University; Min Lun Wu, Ohio University; Greg Kessler, Ohio University
AI-Enhanced Multimodal Analysis of Mathematical Learning Through Participative Epistemology - Jennifer Kleiman, University of Georgia; Xiaoming Zhai, University of Georgia; Amy Ellis, University of Georgia
Searching for Radical Healing: Comparing Neural Topic Modeling and Human Coding in Qualitative Research - Adenike Omolara Adefisayo, Clemson University; Atefeh Behboudi, Vanderbilt University; Golnaz Arastoopour Irgens, Vanderbilt University; Renee Mary Lyons, Clemson University; Corliss Outley, Clemson University; Rhondda R. Thomas, Clemson University; Gail Awan, Urban League of the Upstate; Eleanor Hatcher, Clemson University
Streamlining Field Note Analysis: Leveraging GPT for Further Insights - Umar Shehzad, Utah State University; Saríah López-Fierro, Utah State University; Alireza Zandi, Utah State University; Jody E. Clarke-Midura, Utah State University; Mimi M. Recker, Utah State University