The Application of Generative Artificial Intelligence in Mixed Research
Subject Areas : Educational management
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Keywords: Artificial intelligence, mixed research, qualitative research, quantitative research,
Abstract :
The next steps in the field of generative artificial intelligence (GAI) can transform scientific research methods. To utilize new tools in all educational fields, adaptation to rapid technological changes is required. This study was written with the aim of examining the use of artificial intelligence in mixed research data analysis (qualitative-quantitative). This study examines how the findings from artificial intelligence can be valid and reliable. It also provides recommendations for improving the use of this method for use in mixed research. Artificial intelligence, as an intellectual tool, can best collaborate with human perspectives. This issue becomes especially important during qualitative coding. For example, if the ChatGPT artificial intelligence model is asked to perform inductive coding, the platform can generate generic codes that are based on human analysis, improved, and meaningful connections between human and machine (GAI) coding. Also, the use of AI in quantitative analysis of descriptive statistics data can be accurate, but the researcher must make the best logical choice to perform the appropriate inferential analysis. In addition, GAI should be fully considered for quantitative and qualitative analysis in mixed research. This article provides recommendations and guidelines on how to use ethical, including cases of science and knowledge from artificial intelligence in the context of social science and humanities research.
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