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ChatGPT for Education Research: Exploring the Potential of Large Language Models for Qualitative Codebook Development

Amanda Barany, Nidhi Nasiar, Chelsea Porter, Andres Felipe Zambrano, Juliana Ma. Alexandra L. Andres, Dara Bright, Mamta Shah, Xiner Liu, Sabrina Gao, Jiayi Zhang, Shruti H. Mehta, Jaeyoon Choi, Camille Giordano, Ryan S. Baker

Lecture notes in computer science· 2024-01-01· other· 51 citationsclosed

Computational and Text Analysis Methods Artificial Intelligence in Education Qualitative Research Methods and Applications

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Amanda Barany, Nidhi Nasiar, Chelsea Porter, Andres Felipe Zambrano, Juliana Ma. Alexandra L. Andres, Dara Bright, … Ryan S. Baker (2024). ChatGPT for Education Research: Exploring the Potential of Large Language Models for Qualitative Codebook Development. Lecture notes in computer science. https://doi.org/10.1007/978-3-031-64299-9_10

@article{amanda2024chatgpt,
  title  = {ChatGPT for Education Research: Exploring the Potential of Large Language Models for Qualitative Codebook Development},
  author = {Barany, Amanda and Nasiar, Nidhi and Porter, Chelsea and Zambrano, Andres Felipe and Andres, Juliana Ma. Alexandra L. and Bright, Dara and Shah, Mamta and Liu, Xiner and Gao, Sabrina and Zhang, Jiayi and Mehta, Shruti H. and Choi, Jaeyoon and Giordano, Camille and Baker, Ryan S.},
  year   = {2024},
  journal = {Lecture notes in computer science},
  doi    = {10.1007/978-3-031-64299-9_10}
}

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References

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2013Coding In-depth Semistructured Interviews

2018Thematic analysis of qualitative research data: Is it as easy as it sounds?

2023Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding

2023Performing an Inductive Thematic Analysis of Semi-Structured Interviews With a Large Language Model: An Exploration and Provocation on the Limits of the Approach

2024An Examination of the Use of Large Language Models to Aid Analysis of Textual Data

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