This Assessment and Feedback collection consists of six short guides which will help you explore different methods of assessment, grading, and feedback, and how they can be clearly planned and communicated to students. Assessment methods should be carefully considered in terms of equity, transparency, rigour, and integrity, and may challenge conventional approaches to quizzes and exams. With the rise of generative AI, this collection also emphasizes designing “AI-resilient” assessments, setting clear boundaries for ethical tool use, and leveraging AI to enhance student creativity and metacognition. We hope this guide will help you navigate these topics with confidence and clarity.