A practical guide to using AI in assessment well: adaptive testing, personalized feedback, ethics and implementation.
Eblana Learning13 Oct 2026
AI-enhanced assessment can personalise feedback, adapt test difficulty and surface real-time insights, but only when it's implemented carefully and monitored continuously. This guide sets out best practices across adaptive testing, personalised feedback, ethics and rollout.
This guide covers four areas of AI-enhanced assessment: strategies for adaptive testing, models for personalised feedback, the ethical considerations that keep AI assessment fair and transparent, and best practices for rolling it out through pilots, training and documentation.
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We help schools adopt AI with pedagogy first and hype last. From whole-school strategy to classroom practice, our team works with leaders and teachers to make AI safe, purposeful and practical.
