HP-UCL IOE Fellowship in AI in Education 2027 – YOA

Deadline: November 7, 2026

Applications are open for the HP-UCL IOE Fellowship in AI in Education 2027. As AI reshapes training, many leaders face excessive-stakes selections with out enough proof, governance frameworks, or understanding of its implications for studying, fairness, and belief.

The HP-UCL IOE Fellowship in AI in Education equips senior policymakers and organisational leaders to guide AI transformation responsibly. Bringing collectively experience in AI, studying sciences, coverage, ethics, and human-pc interplay, the programme helps members in shifting past the hype surrounding AI and explores AI’s impression on training and public establishments.

Through engagement with international friends, researchers, and business specialists, fellows tackle actual-world challenges and develop studying-centred methods that strengthen inclusion, institutional capability, and efficient AI adoption.

Course Structure & Content

Delivered as a hybrid fellowship over 12 months. To start, fellows take part in weekly reside on-line periods exploring the foundations, alternatives, and challenges of synthetic intelligence in training, culminating in a one-week residential in London and adopted up by 9 months of mentoring on a capstone challenge.

• Week 1 – Framing AI in Education Systems
• Week 2 – Foundations of AI, Learning, and Human-AI Interaction
• Week 3 – Ethics and Responsible AI
• Week 4 – Governance, Policy, and Procurement
• Week 5 – Learners, Inclusion, and Equitable Design
• Week 6 – Teachers and Professional Agency
• Week 7 – Evidence, Implementation, and Scaling
• Week 8 – Leadership Clinics and Capstone Launch
• Weeks 9-11 – Project Development and Mentorship
• Week 12 – Residential Week in London

Benefits

• Fully funded: all programme prices are lined on acceptance (excluding airfares and visas).
• Reputation: the world’s main establishment for training: UCL Institute of Education has ranked primary in the world for Education in the QS World University Rankings for 13 consecutive years.
• Expert tutorial crew: be taught with lecturers whose work informs AI in international training coverage with UNESCO, the OECD, the Council of Europe and the European Commission.
• Real impression: a 9-month mentored capstone challenge on a reside coverage or implementation problem out of your work and organisation.
• Application: curriculum covers ethics, governance, procurement, proof and scaling, so leaders can interrogate vendor claims and information efficient AI coverage.
• Network: join with a choose cohort of worldwide senior leaders and change into a member of a world community of fellows.

Eligibility

The Fellowship is designed for leaders from across the globe as a extremely interactive management journey combining professional-led studying, collaborative dialogue, utilized actions, and strategic reflection. Fellows interact with worldwide coverage frameworks, case research, and rising proof whereas taking part in workshops, peer dialogue, and management clinics. It is ideally suited to senior training policymakers, system leaders and organisational leaders working throughout training, authorities and the general public sector.

The Fellowship is especially appropriate for:

• Senior training policymakers in ministries, authorities departments and nationwide companies.
• Regulators and inspectorate leaders chargeable for training high quality, evaluation or information.
• C-Suite executives and senior leaders at worldwide edtech firms.
• Senior officers at worldwide organisations engaged on training and AI coverage
• Regional and native training leaders, together with Directors of Education and Children’s Services.
• Leaders of college techniques, particularly multi-academy belief and college group CEOs and Directors.
• Leaders of training non-income, foundations {and professional} our bodies, together with trainer and college-chief unions.

Geographies: Europe, Asia and Africa.

Selection Criteria

Applications shall be reviewed competitively by the programme crew. Selection shall be primarily based on:

• Relevance of the applicant’s position to AI and training transformation.
• Demonstrated management expertise and potential for impression.
• Capacity to take part absolutely in all programme actions.
• Commitment to accountable, equitable, and human-centred approaches to AI.
• Strength and readability of the proposed challenge thought.
• Potential contribution to see studying and worldwide collaboration.

The programme goals to construct a various worldwide cohort representing a variety {of professional}, institutional, and geographical contexts.

Application

Click here to apply

For extra info, go to HP-UCL IOE Fellowship.