Practical Strategies for Future-Ready Assessment
Leveraging the transformative nature of GenAI to drive innovation in assessment
Generative AI is reshaping education and the future of assessment. Rather than banning it, we must harness its potential to innovate: evolving formative assessment practices to foster deeper learning and integrity, while building AI literacy.
About the Assessment Evolved Report
The report explores how generative AI is reshaping formative assessment. Based on research with over 1,000 educators and expert interviews, it offers actionable strategies for policy, practice, and leadership to help educators build students' AI literacy, critical thinking, and future-ready skills.
Key Insights from Our Research
Evolving formative assessment for an AI-driven future: deepening learning, fostering agency, and building AI literacy.
| Amplifying the learning impact of Formative Assessment with Gen AI | Shaping the Future of Assessment in a Gen AI era | Sparking Student Agency and Lifelong Learning |
|---|---|---|
| Now is the moment to evolve formative assessment for an AI world. When used intentionally, GenAI can enable deeper reflection, richer feedback, and more meaningful learning experiences. | Moving beyond bans and detection, educators can guide the ethical and thoughtful use of GenAI in formative assessments, helping students demonstrate understanding and build essential skills. | Assessment should foster agency, curiosity, and lifelong learning. Done right, leveraging GenAI in assessment can spark motivation and prepare students to thrive in a future with GenAI. |
Expert Voices
Practical Guides for Educators
Actionable strategies for school and HE educators to evolve formative assessment in a GenAI era.
A Practical Guide for Schools
Designed for school educators, this guide provides actionable strategies to evolve formative assessment in the GenAI era. Our step-by-step, concrete examples support teachers to protect learning integrity and build AI literacy.
A Practical Guide for Higher Education
Tailored for higher education professionals, this guide provides recommendations, reflective questions and practical redesigns for maintaining learning integrity, rethinking assessment formats, and integrating GenAI responsibly.
This report marks the beginning of an important conversation on how assessment can evolve in the GenAI era. We welcome your thoughts and feedback.
Acknowledgements
We thank the educators and experts who contributed to this work, including Professor Ryan Baker, Peter Bannister, Amanda Bickerstaff, Professor Emerita Susan Brookhart, Professor Mutlu Cukurova, Professor Phillip Dawson, Rachel Evans, Charles Fadel, Steve Fitzpatrick, Professor Eric Klopfer, Professor Danny Liu, Professor Bill Lucas, Kane Murdoch, Mike Perkins, Pat Yongpradit, and many more.
