What’s of interest? From Prompt to Practice: A Framework for Transparent GenAI Use in Higher Education | EDUCAUSE Review
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Generative artificial intelligence (GenAI) has opened new avenues for creative engagement among higher education teaching and learning professionals. Educators and education developers are using GenAI to support course content creation, pedagogical experimentation, brainstorming, and production workflows.Footnote1 Yet these advantages also introduce a challenge: when GenAI’s fingerprints are invisible, its influence can be misunderstood, overstated, or underacknowledged.
Transparency in GenAI use is an imperative for institutional and academic integrity, a safeguard for trust, and a teaching opportunity. However, current transparency practices are uneven. Some people document every step; others offer vague acknowledgments, and many do not address GenAI use at all. This variability may partly be due to an absence of established guidelines that define what to document and how to disclose it.
In this article, we introduce the GenAI Use Transparency Framework. Our framework provides practical guidance to educators, instructional designers, and faculty developers—anyone in the education development space. It situates GenAI use on a continuum from minimal to comprehensive and pairs each level with practical recommendations for documentation and disclosure. The framework also addresses the ethical dimensions of transparency, notes the difference between documentation and disclosure, and provides implementation recommendations. By aligning practice with principle, the higher education community can move toward a culture of reflective GenAI use that treats transparency as an ethical obligation and a pedagogical act.
Where is it?: https://er.educause.edu/articles/2026/3/from-prompt-to-practice-a-framework-for-transparent-genai-use-in-higher-education
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