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.
TopLiterature Review
There has been an explosion of literature documenting the strengths of AI and ChatGPT. In an analysis of the literature, Wibowo et al. (2023) concluded that ChatGPT was effective in enhancing “the quality of support provided” by faculty and allows students to “actively engage in their educational journey” (p. 134). As we are considering the inclusion and implementation of AI use within a doctoral program through the creation of policy and curriculum supporting academic writing, the purpose of this literature review was to focus on the current literature on the strengths and weaknesses related to using AI in scholarly writing.
Key Terms in this Chapter
Digital Literacy: The ability to find, evaluate, utilize, share, and create content using information technologies and the Internet.
Artificial Intelligence (AI): Computer programs that are designed with the intention of mimicking human intelligence.
Plagiarism: The practice of taking someone else's work or ideas and passing them off as one's own.
AI Literacy: The knowledge, skills, and competencies required to understand, assess, and use AI technologies effectively.
Academic Integrity: The ethical policy or moral code of academia that sets boundaries for determining authenticity in writing, or conversely, plagiarism.
ChatGPT (Generative Pre-trained Transformer): A popular NLP developed by OpenAI, designed to understand and generate human-like text based on the input it receives.
Natural Language Processing (NLP): A type of AI that relies on human language for input commands and outputs.
Critical Thinking: The objective analysis and evaluation of an issue in order to form a judgment.
Writing Literacy: The ability to effectively communicate ideas in writing, including the proficiency in grammar, spelling, and structure, to convey messages clearly and efficiently.
Academic Writing: A style of writing used in academic settings, characterized by evidence-based arguments, precision, formality, and objectivity.
Bias: Prejudice in favor of or against one thing, person, or group compared with another, usually considered to be unfair.