Formative Assessment at a Crossroads: What next for schools and colleges in the GenAI era?

Formative assessment is a cornerstone of effective teaching and learning, but Generative AI can now produce a credible answer to almost any formative task. The faster AI enters the classroom, the harder it becomes for schools and colleges to protect assessment integrity while simultaneously preparing learners for an AI-driven world.  

So how can we navigate such challenges? Drawing on Pearson's Assessment Evolved study, involving more than 1,000 educators and global experts, this webinar explores why formative assessment is at a crossroads. It will highlight what educators and experts say is working, where tensions remain, and practical solutions for moving forward.  

Join Meredith Reeve and Dr Muireann Hendriksen from Pearson’s Research and Development & Thought Leadership Team to explore a range of evidence-based strategies and approaches to adapt formative assessment in schools and colleges.  

Discover where GenAI can enhance formative assessment while maintaining learning integrity and developing AI literacy. Through discussion and reflection, leaders and teachers will have the opportunity to consider current practice, share perspectives from their own settings, and identify practical first steps that can strengthen learning and student agency in a GenAI era.

Speaker
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Meredith Reeve

Lead Specialist, Research Strategy, Pearson

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Dr Muireann Hendriksen

Lead Specialist Researcher, Pearson

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Participants will:  

  • understand where the credibility of formative assessment evidence is most at risk and the distinction between productive and problematic uses of AI.  

  • learn about the four distinct educator mindsets identified through Pearson's research and what these mean for AI adoption in schools and colleges.  

  • gain practical, evidence-based approaches to support curriculum and assessment conversations. 

  • leave with actionable next steps to help audit formative assessment tasks, i and identify design changes needed, and support setting-wide AI readiness.