When AI Can Do the Assignment : Redesigning Assessment for Human Learning, Judgment, and Authenticity
Language: English
Published by Futurica Insights, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 31.55
Quantity: 2 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - 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. …
Seller Inventory # 9781068014307
- Title
- When AI Can Do the Assignment : Redesigning Assessment for Human Learning, Judgment, and Authenticity
- Author
- Navid Nazhand
- Publisher
- Futurica Insights
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 106801430X
- ISBN 13
- 9781068014307
- Item weight
- 259 grams
- Dimensions
- 229x152x10 mm
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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