A school leader can return from an education technology conference carrying dozens of ideas—and still be unsure which one will improve learning on Monday morning. That is the challenge worth taking to Bett UK 2027, scheduled for 20–22 January 2027 at ExCeL London. Beyond the product launches and demonstrations, its published programme points to a more demanding conversation: what should schools preserve, rethink and measure when artificial intelligence becomes part of everyday teaching?
The most revealing debates at Bett 2027 are not simply about whether schools should use AI. They concern who remains responsible for learning, how we know what pupils understand, what inclusion really requires, and which skills deserve deliberate teaching. This is an agenda preview based on information published before the event—not a report of sessions that have already happened.
Bett UK 2027: dates, venue and the programme at a glance
The event organiser confirms Wednesday 20 to Friday 22 January 2027 at ExCeL London, Royal Victoria Dock. The official What's On page lists the Arena, Teaching & Learning, Tech in Action, the Higher Education Theatre and Innovation Theatre among the content spaces. Its 2027 agenda groups sessions under themes including AI, assessment, curriculum, digital citizenship, SEND and inclusion, wellbeing, cybersecurity, pedagogy, digital strategy and skills.
The emphasis on multiple learning stages is important. Early years, primary, secondary, further education and higher education do not face identical questions. A decision about an AI reading assistant for children requires different safeguards and evidence from one about university assessment or institutional data.
The organisers reported more than 37,000 attendees at Bett 2026; that is a retrospective figure for the previous edition, not a forecast or achievement for 2027. Anyone planning to attend should recheck the live programme and visitor information before travelling.
1. From AI adoption to AI judgement: who makes the educational decision?
An impressive demonstration can produce a lesson plan, explain an equation or draft feedback in seconds. Yet speed is not a measure of understanding. The more useful question for a headteacher is: which decisions should a tool assist, and which must stay with educators and learners?
The planned Tech in Action stage offers a practical setting in which to test this distinction. When a provider claims that its assistant personalises learning, ask to see three cases: a child who has misunderstood a prerequisite idea, a multilingual learner who needs a different explanation, and a pupil who gives a polished answer without understanding the reasoning. Does the system identify the problem, or merely produce another fluent response?
The UK's Department for Education guidance on generative AI in education calls for settings to assess benefits and risks carefully, with safety as the top priority. UNESCO's AI Competency Framework for Teachers similarly places human agency, ethics and pedagogy alongside technical knowledge. Neither offers a universal approval for a particular product.
For Learning Coach, this creates a useful distinction between using AI to produce teaching materials and designing learning in which pupils remain active thinkers. The first may save time; the second requires questions, feedback, practice and opportunities to perform without assistance.
2. Assessment after the perfect AI-generated answer
The published agenda includes assessment, curriculum and digital citizenship. These themes converge on an uncomfortable question: if students can submit work that looks excellent, what evidence convinces us that they actually learned?
The answer is not to abandon writing, technology or independent projects. It is to design assessment that reveals thinking, while remaining proportionate and fair. A school might combine a written product with a short oral explanation, an annotated draft, an in-class transfer task or a discussion of mistakes corrected during the process. The appropriate combination depends on age, subject, accessibility and exam regulations.
A hypothetical Year 9 science project illustrates the difference. Two pupils produce equally persuasive reports on local water quality. One can explain why their sampling method is imperfect and adapt it when the teacher changes a variable; the other cannot. The second pupil's finished document gives an incomplete picture of learning. A well-designed follow-up question reveals more than an AI-detection score alone.
England's Ofqual advice on AI-related assessment malpractice addresses the challenges for regulated qualifications. It does not imply that every classroom activity must be treated like an exam. School leaders need policies that distinguish legitimate assisted practice from work submitted as independent evidence.
A question to bring to Bett: Can the product demonstrate understanding, error correction and transfer—or does it mainly measure task completion?
3. Teacher workload and professional learning: the invisible cost of innovation
Technology often promises efficiency. But introducing a new platform can also mean training, account administration, safeguarding reviews, procurement, extra parent communication and changes to assessment practice. Those demands fall on real school teams with limited time.
The Bett 2027 programme outline points to teacher workload and wellbeing, while hands-on Tech User Labs offer a way to explore tools before committing. The productive question is not “Can teachers learn this application?” but “What will we stop doing, simplify or improve if we adopt it?”
The Education Endowment Foundation's guidance on digital technology recommends starting with an identified teaching or learning need, not with the novelty of a tool. It also urges schools to consider implementation support and costs. That 2019 guidance predates today's generative AI systems, so it should inform the logic of implementation rather than be misrepresented as a direct trial of current AI products.
A sensible procurement conversation should therefore include:
What specific teacher task or pupil learning problem is being addressed?
What new workload will the tool create during onboarding and ongoing use?
Who will train staff, handle safeguarding incidents and support colleagues who need additional help?
What can be retired if this solution is adopted?
Which measure will tell us that the change was worth the effort?
A professional development conference has value when it changes staff capability and working conditions—not merely when it adds another login.
4. Inclusion is a design requirement, not an optional feature
Bett's published strands include SEND and inclusion, diversity, accessibility and digital strategy. That combination is significant because an apparently convenient tool can work quite differently across a mixed classroom.
Consider a platform that offers a rapid spoken explanation. For one pupil, it may reduce a reading barrier. For another, it may create sensory overload; for a third, its examples may rely on unfamiliar cultural assumptions. Flexible display options matter, but accessibility does not end with interface settings. Curriculum language, teacher support, age appropriateness, data handling and access to non-digital alternatives also matter.
The EEF's guidance on adaptations and additional support cautions that technology can help access learning but can also over-scaffold tasks or remove productive challenge. Tools need to be judged against the barrier a learner actually faces.
At Bett, ask providers to demonstrate their solution with a meaningful accessibility scenario rather than an idealised student profile. Seek evidence from comparable school settings, not only a list of claimed features. Staff and pupils should be consulted before high-stakes adoption decisions.
5. Which human capabilities deserve deliberate teaching?
One of the publicised Bett UK 2027 agenda conversations asks what knowledge, skills and values should remain central as AI changes classrooms and work. That question is larger than a prediction about future jobs.
The temptation is to answer with a familiar list: creativity, communication, collaboration and critical thinking. But those qualities do not develop simply because they appear on a school poster. Critical thinking depends on subject knowledge. Creativity benefits from practice and constraints. Collaboration requires explicit norms, feedback and accountability.
A school that values independent learning might examine whether pupils can:
identify what they do and do not understand;
plan an approach before looking for instant assistance;
ask questions that reveal causes rather than request finished answers;
check the credibility of a source or an AI-generated response;
transfer a strategy to a different problem; and
reflect on feedback and decide what to attempt next.
The EEF's updated 2025 guidance on metacognition and self-regulated learning offers a research-informed foundation for teaching pupils to plan, monitor and evaluate their learning. It should not be reduced to a claim that all learners become independent merely by using technology.
This is the central Learning Coach perspective: the future of education is not just greater access to answers, but a stronger capacity to learn without surrendering judgement.
6. From the exhibition hall to a responsible school strategy
Bett can help schools compare tools, meet researchers, hear practitioners and reflect on policy. Yet a confident purchasing decision may need more evidence than a short exhibition conversation can provide.
A practical approach is to return from the event with one school problem, one testable hypothesis and one manageable pilot.
| Before choosing a tool | Question for the leadership team | Evidence to gather |
|---|---|---|
| Learning need | What problem are we actually solving? | Baseline work samples and teacher observations |
| Pedagogical fit | What will pupils do differently? | Demonstration using a real learning task |
| Safety and inclusion | Who might be disadvantaged or exposed to risk? | Accessibility, privacy and safeguarding review |
| Staff capacity | What time and support will implementation need? | Training, workload and support plan |
| Evaluation | How will we know whether it helps? | Defined measures and comparison over time |
For example, instead of adopting an AI feedback platform across a trust, a secondary school could first test it in a limited unit, with human review, a clear pupil-age policy, informed staff involvement and a baseline measure of the quality of pupil revisions. The goal is to learn whether feedback improves—not simply whether the software is used.
The biggest strategic error is to mistake conference visibility for independent evidence of effectiveness. Exhibitor demonstrations and vendor-sponsored sessions are valuable places to ask questions, but commercial claims require independent scrutiny.
A Bett 2027 discussion agenda for school leadership teams
A headteacher or education director could divide the visit into three purposeful conversations.
Conversation one: What should we protect? Identify the human interactions, curriculum knowledge and safeguarding responsibilities that the school must preserve. This provides boundaries for technology decisions.
Conversation two: What should we improve? Choose an actual challenge—perhaps feedback quality, teacher workload, accessible practice or student self-regulation. Compare proposals against that challenge, rather than against one another's marketing claims.
Conversation three: What will we test after January? Decide who owns the pilot, what data may be collected, how parents and students will be informed when relevant, and when the team will review results. Not every promising idea needs to become a purchase.
The same framework can help school groups and conference organisers design internal professional development days. A keynote can establish a shared question and challenge assumptions; smaller workshops can translate that conversation into curricula, responsibilities and classroom routines.
Frequently asked questions about Bett UK 2027
When and where is Bett UK 2027?
The organiser schedules Bett UK 2027 for 20–22 January 2027 at ExCeL London, United Kingdom. Confirm the latest details on the official Bett UK site.
Is the Bett UK 2027 conference programme final?
Not necessarily. Sessions and speakers are announced progressively and may change. This analysis reflects the publicly available programme on 26 October 2026; it does not imply that any session has already been delivered.
Is Bett only about educational technology products?
No. The announced content includes teaching and learning, school leadership, inclusion, policy, assessment, professional development and higher education alongside technology demonstrations.
What should school leaders prioritise at Bett?
Start with a current institutional problem, inspect the evidence behind proposed solutions, discuss the consequences for staff and pupils, and leave with a small evaluation plan rather than a long shopping list.
The question that matters after Bett
Bett 2027 may introduce remarkable tools and powerful ideas. The deeper test, however, happens back in schools: Are educators better equipped to teach, and are learners becoming more capable of thinking, questioning and acting independently?
If the answer is unclear, innovation has not yet become improvement.
For schools, universities and education organisations planning an event on AI, human judgement and the future of learning, explore Learning Coach's international keynotes and request a tailored proposal.
References
National Association of Head Teachers — Bett 2027 programme overview
UK Department for Education — Generative AI in education, updated 2025
Education Endowment Foundation — Using Digital Technology to Improve Learning, 2019
Education Endowment Foundation — Metacognition and Self-Regulated Learning, second edition, 2025
Education Endowment Foundation — Adaptations and additional support
