Abstract
The rapid emergence of generative artificial intelligence (AI) has reshaped academic work, creating new opportunities for learning while introducing complex challenges for maintaining academic integrity. This article presents a clear, practical three question framework to help students determine when and how to disclose AI use in their coursework. Grounded in principles of transparency and intellectual honesty, the framework consists of three guiding questions addressing AI‑generated content, meaningful process support, and purely mechanical assistance. Through detailed explanations and real‑world scenarios, the article clarifies distinctions among these categories and outlines appropriate citation and disclosure practices for each. It emphasizes that AI use is not inherently inappropriate; rather, ethical academic practice requires students to acknowledge the extent of AI involvement so instructors can accurately assess learning and skill development. The framework supports both students and educators by offering objective, defensible standards that can guide assignment design, evaluation, and integrity processes. Ultimately, the article argues that transparent engagement with AI tools can promote metacognition, strengthen students’ judgment about their own learning processes, and uphold the credibility of academic work. As AI technologies continue to evolve, adopting clear disclosure practices ensures that academic contributions remain authentic, responsible, and aligned with longstanding scholarly values.
Recommended Citation
Baule, Steve
(2026)
"Academic Integrity in the Age of AI: A Student's Guide to Citation and Disclosure,"
Essays in Education: Vol. 32:
Iss.
1, Article 12.
Available at:
https://openriver.winona.edu/eie/vol32/iss1/12
Primary Author Bio Sketch
Steve Baule is an associate professor of leadership education at Winona State University.
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