Practical Applications of AI-Assisted Assessment in Cambridge Primary Classrooms

Abstract

Artificial intelligence (AI) is increasingly influencing educational assessment through automated, adaptive, and data-driven approaches. In primary education, where assessment plays a key role in supporting learning and development, AI-assisted tools offer new opportunities to enhance efficiency and personalisation. This article examines the benefits, risks, and implications of AI-assisted assessment in primary education, with particular reference to the Cambridge Primary curriculum framework. It highlights advantages such as immediate feedback, reduced teacher workload, personalised learning, and improved progress monitoring. At the same time, it addresses challenges including data privacy, algorithmic bias, validity concerns, and ethical considerations in assessing young learners. The discussion emphasises that AI should complement rather than replace teacher judgment. The article concludes that responsible and balanced integration of AI is essential for maintaining effective and ethical assessment practices in primary education.