
Self-Driving Research
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Navigating AI in Mixed Methods Research
This chapter explores the role of large language models (LLMs) in mixed methods research, focusing on their potential to generate survey data alongside critical limitations related to context understanding. It emphasizes the need for human oversight, ethical considerations, and transparency in research methodologies while discussing strategies to mitigate inaccuracies and enhance the reliability of AI-generated outputs.
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