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Application of ChatGPT in Doctoral Education and Programming: A Collaborative Autoethnography
Abstract
This collaborative autoethnographic study explores the integration of AI tools in doctoral education, focusing on instructional methods, program planning, and curriculum development. Drawing on faculty experiences, strengths such as content speed and organization are identified alongside weaknesses like trustworthiness issues and limited critical thinking abilities. Implications highlight the need for quality assurance, AI literacy training, and clear policies. Recommendations include establishing guidelines, proper AI tool attribution, and continued research to understand AI's impact. The study underscores the importance of thoughtful integration of AI to maximize benefits while addressing limitations effectively.
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