AI and education

AI is pushing the boundaries of how we approach teaching, learning and the management of educational institutions.

It presents exciting opportunities to innovate our approach to education now and in the future and brings benefits including; efficiency in administrative tasks, personalised learning opportunities, greater insights and enhanced accessibility. As we embrace this potential though, we must also consider how we ustiise AI responsibly, safely and with integrity - protecting the values of our institution and higher education.

Embedding AI in education practices

AI has the power to support personalised learning paths, academic skills and aid in the fair and efficient evaluation of student work. It has far reaching implications for the ways in which we will develop our programmes, design assessment and feedback, and teach students of the future.

1. Curriculum design and development

AI has the potential to revolutionise the methods and processes of curriculum design as well as the content of our curricula.

2. Assessment and feedback

AI brings both opportunities and challenges to assessment for staff and students. We must consider how it can used responsibly and effectively.

3. Teaching and Learning

In todays rapidly evolving educational landscape AI can help us innovate our approach to teaching and learning

4. Examples of AI in education practice

Dive into case studies on how others are using AI in practice

Presentations and events

See recordings related to AI and Education including the Education in a world with Generative AI mini-conference from October 2025 and the School for Business & Society Masterclass Series

1. Curriculum design and development

AI has the potential to revolutionise the methods and processes of curriculum design as well as the content of our curricula. Both will need to evolve to incorporate AI subject matter as well as teaching on the broader societal, ethical and legal implications of a world that relies heavily on AI in the future.

Below you will find links to resources from those recommending and pioneering change in these areas.

Academic integrity, ethics and quality

Quality Assurance Agency for Higher Education (QAA)

Recommendations on the ethical use of AI in Education from the European Network for Academic Integrity (ENAI); Article and Presentation Slides

Webinar: AI, Race and Racism and Critical Pedagogies (Warwick International Higher Education Academy, University of Warwick)

Accessibility

AI and Accessibility: feature, the future or fad? University of York Digital Accessibility Unit

Generative AI and accessibility in education (JISC)

AI in inclusive education (SEN Magazine)

Digital accessibility in the era of artificial intelligence: Bibliometric analysis and systematic review (National Library of Medicine)

Compliance

Information Commissioner's Office Guidance and Resources: Artificial Intelligence

2. Assessment and feedback

AI brings both opportunities and challenges for staff when assessing. The resources below help to share guidance and ideas on how AI use can be incorporated responsibly in support of the student experience.

Toolkits and aids