Assessment, feedback and AI

Practical insights and resources for universities reviewing assessment, feedback and AI-era change.

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This collection focuses on assessment design, evidence of learning, marking and moderation workflows, Moodle/platform processes, assessment tools, pilot planning, staff adoption and implementation.

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The aim is to help university teams move from broad AI concern into practical decisions about what assessment should evidence, how feedback should support learning, which workflows need redesign, and where tools or platforms can genuinely help.

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If you are not sure where to start, begin with the practical guides or market map below.