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Description

This presentation explores the appropriate role of artificial intelligence in scholarly work, distinguishing between uses that support academic rigor and those that undermine intellectual responsibility. While cautioning against reliance on AI for original argumentation, unverified literature reviews, data interpretation, and normative judgments, it highlights practical applications across the research lifecycle, including ideation, literature exploration, argument refinement, structural analysis, reviewer simulation, and manuscript preparation.

Publication Date

Spring 2-25-2026

City

Tulsa

Keywords

artificial intelligence (AI), scholarship, academic research, research methodology, scholarly writing, generative AI, academic integrity, literature review, peer review, higher education, research productivity, AI-assisted research, critical thinking, authorship, academic innovation

Disciplines

Adult and Continuing Education | Art Education | Contemplative Education | Educational Assessment, Evaluation, and Research | Educational Technology | Higher Education | Humane Education | Liberal Studies | Online and Distance Education | Scholarship of Teaching and Learning

Streaming Media

AI in Scholarship

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