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This reflection examines the integration of artificial intelligence (AI) in computer-assisted qualitative data analysis (CAQDAS) in education research. It highlights the benefits, challenges, and ethical implications of AI, natural language processing (NLP), and machine learning technologies. The paper discusses the reliability, validity, and potential loss of context in analysis. It calls for a balanced approach, balancing technological advancements with the nuanced nature of qualitative analysis. It emphasises the importance of ongoing dialogue, ethical protocols, and comprehensive training to ensure the mindful use of AI technologies in qualitative research.

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Enhancing Education Research: The Potential and Challenges of Incorporating AI into Qualitative Data Analysis

  • 会议论文

  • 发表日期：

    2025年

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  • António Pedro Costa,
  • Grzegorz Bryda

摘要

This reflection examines the integration of artificial intelligence (AI) in computer-assisted qualitative data analysis (CAQDAS) in education research. It highlights the benefits, challenges, and ethical implications of AI, natural language processing (NLP), and machine learning technologies. The paper discusses the reliability, validity, and potential loss of context in analysis. It calls for a balanced approach, balancing technological advancements with the nuanced nature of qualitative analysis. It emphasises the importance of ongoing dialogue, ethical protocols, and comprehensive training to ensure the mindful use of AI technologies in qualitative research.