When AI Can Do the Assignment: Redesigning Assessment for Human Learning, Judgment, and Authenticity - Tapa blanda

Sinopsis

By 2026, generative AI can draft an essay, solve a problem set, and complete a multi-step academic project end to end. The assignments that have measured student learning for decades were built on an assumption AI has quietly broken: that submitted work reflects a student's own thinking.

When AI Can Do the Assignment argues that this is not a cheating problem. It is a design problem, and design problems have solutions.

Drawing on years of work as a program coordinator and Microsoft Innovative Educator Expert, Dr. Navid Nazhand offers a complete, practical system for redesigning assessment in the age of generative AI: the AI-Resilient Assessment Framework. Built around six design pillars, a twenty-minute scoring rubric, and implementation tools that scale from a single course to an entire program, the framework helps educators move past detection software and lockdown browsers toward assessments where AI can be used freely, and students still have to think, judge, reflect, and explain.

Organized in four parts, the book moves from the underlying problem, through the framework itself, to a step-by-step implementation process and library of design patterns, and finally to institutional policy and governance. A quick-start guide, two appendices, and role-specific implementation guides make it usable by instructors, program coordinators, teaching and learning specialists, and academic leaders alike.

Written for university and college instructors, program coordinators and curriculum leaders, teaching and learning specialists, and educational leaders and policy designers, this book offers a coherent system rather than a collection of tips, built to be adopted across courses and programs without dictating how any individual instructor teaches.

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