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Redesigning Assignments for an AI-Augmented Classroom

Faculty Focus · Nov 9, 20262 min read
Image accompanying The AI-Resistant Pedagogy Studio: Redesigning Assignments for an AI-Augmented Classroom from Faculty Focus

What happened

Faculty Focus published Stacy Ybarra Evans’s account of the AI-Resistant Pedagogy Studio, an assignment-redesign resource she says she developed and published in 2025. Evans describes a framework that shifts assessment from final products toward learning processes, collaboration, real-world activity and reflection. She says institutions have used the Studio in faculty development.

Why it matters

Evans argues that generative AI complicates assessments centered on polished take-home work and that detection-focused approaches can consume faculty time. The Studio proposes making students’ thinking and participation more visible through staged drafts, conferences, critique of AI output and contextual projects. For educators and learning teams, these are design options, not evidence that any single format prevents AI use or verifies learning on its own. The article also flags access and bias concerns.

What to do next

Choose an assignment whose learning process is not visible in its final submission. Identify its objective, then consider a draft checkpoint, reflection, conference or locally grounded activity suited to the course. Tell students what each step assesses and clarify AI disclosure expectations under institutional policy. Check access before requiring technology; Evans says premium AI tools should not be graded requirements if the institution does not provide them. The article reports adoption but no outcome data, so treat the framework as a starting point and review feedback before expanding.

About this briefing

Reviewed by TutorFlow Editorial. We link the primary source, preserve its publication date, and distinguish reported claims from TutorFlow analysis. Our commentary focuses on practical decisions for educators and training teams.

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