Bett UK 2026 Recap: Global AI Education Innovators Gather in London
From January 21–23, 2026, Bett UK returned to ExCeL London, bringing together the global education and EdTech community for three days of discussion, exploration, and collaboration.
As one of the world’s leading education technology events, Bett UK 2026 placed AI at the center of the conversation—not as hype, but as a system-level transformation of how teaching, learning, and assessment work.
Agenda Highlights: From AI Tools to Education Systems
According to the official Bett UK 2026 agenda, this year’s discussions focused on how AI can be responsibly embedded into education systems.
Key themes included:
- Ethical and transparent use of generative AI
- AI-supported assessment and feedback
- Designing learning systems that combine human judgment with machine intelligence
Across keynotes, panels, and hands-on labs, the emphasis was clear: practical adoption over speculative promises.
600+ Global EdTech Solution Providers on the Ground
The exhibition floor featured more than 600 education technology companies from around the world. As listed on the Bett UK solution providers page, showcased solutions spanned:
- AI-powered teaching and learning tools
- Academic writing and evaluation platforms
- Learning analytics and institutional infrastructure
A clear shift emerged toward integrated systems, designed to reduce fragmentation across educational workflows.
What Bett 2026 Signals for the Future of Education
Three strong signals stood out:
- AI is becoming a core educational capability, not an add-on
- Assessment is central to meaningful AI adoption
- Trust, transparency, and accuracy matter more than speed
Educational institutions worldwide are seeking AI they can trust, not just tools that generate content faster.
Bett UK 2026 reinforced a simple idea:
The future of education depends on better systems, not more disconnected tools.
The insights gained at Bett will continue to inform how we think about AI, learning, and academic work at PagePeek, as we build toward a more coherent and responsible AI academic ecosystem.
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