Explore a 10-course track designed to help you apply generative AI across every dimension of assessment in higher education — from task design and formative feedback to grading, moderation, and institutional policy.
Generative AI is reshaping how universities assess learning. It offers opportunities to design more authentic tasks, provide richer and more personalised feedback, and streamline grading processes — while also requiring new approaches to integrity, inclusivity, and governance.
This track is designed for educators, assessors, programme leaders, and academic developers who want to use AI responsibly to improve student learning, reduce staff workload, and strengthen institutional practices.
Whether you’re redesigning formative assessments, embedding feedback literacy, automating grading workflows, or developing system-wide assessment strategies, this track equips you with practical tools, ethical safeguards, and future-oriented insights to support both staff and students.
🧭 Note on Course Design
Our Foundations bundles provide a confidence-building start with generative AI in higher education. Instead of multiple-choice quizzes, you’ll work through scenario-based exercises embedded in every chapter. These include reflective prompts, applied design challenges, and authentic case examples that mirror real academic practice.
Our Specialist bundles take you further, applying advanced tools and frameworks to complex institutional contexts. You’ll gain access to:
The Generative AI Capability Framework, tailored to assessment, feedback, and grading
A specialised prompt library to accelerate hands-on practice with AI assessment workflows
Structured exercise pathways that help you translate ideas into sustainable teaching and institutional strategies
This progression ensures you first build confidence step by step, then extend your expertise into advanced, institution-wide applications of AI in assessment.
