Innovation in Education: AI-Driven Assessment and Feedback Approaches

This eBook explores innovative approaches to assessment and feedback enabled by artificial intelligence within contemporary education systems. It examines how AI can be used to enhance formative feedback, personalise learning pathways, and improve assessment efficiency while preserving academic standards and learner trust. The book addresses both the opportunities and risks of AI-driven assessment, including validity, bias, transparency, and integrity concerns. It presents governance-aware frameworks that align assessment innovation with institutional quality assurance requirements, accreditation expectations, and ethical principles. Designed for educators, assessment designers, academic leaders, and policy practitioners, this work provides practical guidance for implementing AI-supported assessment and feedback models that are pedagogically sound and institutionally defensible.