Artificial Intelligence (AI) is transforming education. Beyond simple automation, AI-driven systems can personalise learning experiences, adapting dynamically to each student’s pace, strengths, and areas for improvement. Intelligent tutoring systems ensure quality before progression, while AI-powered analytics provide educators with deep insights into student performance, enabling proactive interventions. AI has played a significant role in streamlining grading, and identifying gaps in both teaching and learning—leading to smarter, more effective educational strategies.
Our work in AI-driven education extends beyond theory into real-world applications. For instance, our Predictive Models for Classroom Conditions project has demonstrated how AI can optimise learning environments by analysing real-time classroom data. Our research into Understanding quality Characteristics of EdTech Interventions for Disadvantaged Pupils explores the use of AI in literature screening. The technical expertise applied to our Evidence Library is a powerful AI-backed resource, illustrating how powerful and extensive data can enhance educational outcomes.
Our AI on Demand service is intended to support Advisors in gaining a deeper understanding of the AI evidence landscape and increasing their understanding of questions related to AI use in education. Considering real-world applications is crucial to ensure that the request can help contribute to its responsible integration. This work coincides with our partnership with EdTechHub under the AI Observatory and Action Lab. It strives towards increased longevity and scalability, and so another question we answer is: will the support being requested offer learning that is relevant beyond the context in which the support is being provided?
We work across diverse educational landscapes to develop evidence-based solutions. Explore our initiatives on AI :
Explore our Evidence Library for in-depth insights, reports, and working papers.
