Concurrent Session #2: Leveraging ChatGPT for Qualitative Text Analysis: Possibilities, Limitations, and Implications
Location
Cape Florida A
Start Date
24-9-2023 11:45 AM
End Date
24-9-2023 12:00 PM
Description
As large language models continue to advance, qualitative researchers face the challenge of effectively integrating these models with traditional methods and methodological approaches. In this presentation, we will highlight the possibilities and limitations of utilizing ChatGPT, a prominent language model, for qualitative analysis of textual data. Our focus will be on comparing a sample of results derived from a traditionally conducted qualitative analysis with those obtained using ChatGPT as an assistive tool. The findings from this research provide valuable insights into the practical applications of incorporating ChatGPT into qualitative research.
Recommended Citation
Narkiewicz, Nicole and Skukauskaite, Audra, "Concurrent Session #2: Leveraging ChatGPT for Qualitative Text Analysis: Possibilities, Limitations, and Implications" (2023). Teaching and Learning with AI Conference Presentations. 25.
https://stars.library.ucf.edu/teachwithai/2023/sunday/25
Concurrent Session #2: Leveraging ChatGPT for Qualitative Text Analysis: Possibilities, Limitations, and Implications
Cape Florida A
As large language models continue to advance, qualitative researchers face the challenge of effectively integrating these models with traditional methods and methodological approaches. In this presentation, we will highlight the possibilities and limitations of utilizing ChatGPT, a prominent language model, for qualitative analysis of textual data. Our focus will be on comparing a sample of results derived from a traditionally conducted qualitative analysis with those obtained using ChatGPT as an assistive tool. The findings from this research provide valuable insights into the practical applications of incorporating ChatGPT into qualitative research.