KAiZEN Collab! - Day 1 [External Registration]

Curious about how AI is already shaping teaching, learning, research, and university life at King's? Join us!

AI Inspiration Gallery

An interactive showcase celebrating the diverse ways students and staff across King's are using, building, testing, researching, and critically engaging with artificial intelligence.

LearnHack

[Day 1] Problem statements reveal, Team registration & Team formation

[Day 2] Hackthon, Pitch, Prizes, and Panel Discussion

Join an intensive hackathon designed to cultivate out-of-the-box solutions to existing pedagogical and operational challenges - pre-provided by King's staff. Open to all staff and students - regardless of technical background - this inclusive space welcomes diverse perspectives from every discipline. Technical and institutional consultants will be available at check-in desks to help refine ideas and ensure every proposal is both realistic and achievable. The sprint will conclude with an elevator pitch and Q&A session, where the judging panel will assess the pitches based on key criteria.

Workshops

Attendees can also participate in a series of hands-on workshops on Day 1 to deepen their understanding of AI in higher education and to upskill themselves for the Day 2 LearnHack:

Student Workshops

• Building an AI Tutor from Your Own Course Materials – Learn how AI tools can be tailored to support learning using your own academic content.
• Critical Engagement with GenAI & Introduction to Prompt Engineering – Explore the opportunities and limitations of generative AI while developing practical prompting skills.Staff

Staff Workshop (for academic, professional services staff, and GTAs involved in teaching, learning, and assessment)

• Redesigning Teaching & Assessment in the Age of AI:
  This hands-on workshop invites colleagues to move beyond the "AI as threat" narrative and explore what process-focused, reflective assessment can look like in practice. Together, we'll experiment with assessment designs that make student thinking visible, value learning journeys alongside final outputs, and position AI as a critical learning partner rather than a shortcut. Through practical activities and collaborative discussion, participants will develop ideas and approaches they can take directly back to their own teaching. Whether you're actively redesigning assessments or just beginning to explore the implications of AI for education, this workshop offers a supportive space to think, test, and learn alongside colleagues.

Whether you're an AI enthusiast, a sceptic, a complete beginner, or somewhere in between, this event offers a space to discover new ideas, meet people from different disciplines, and reflect on the opportunities and challenges AI presents in higher education.

Come along, get inspired, and help shape the future of AI at King’s!

Please note:

This link is for external and alumni registration only.

If you're a staff member at King's, please register here.
King's students please register here for Day 1.

Info: Students, staff and PhD researchers showcase current AI use
and research, allowing Learnhack participants to map existing capabilities before they begin

Info: Dr Oram is a Consultant Haematologist with a specialist interest in Paediatric and Adolescent/Young Adult Haematology, and a Reader at King’s College London. She is the FoLSM Lead for AI in Education and Director of Assessments at GKT Medical School.

Alongside her clinical and academic roles, she contributes nationally to medical education and assessment as Associate Medical Director for Assessment Quality at the Federation of the Royal Colleges of Physicians of the UK, a GMC Medical Licensing Assessment Advisor, and a Senior Examiner for both MRCP and FRCPath. She also contributes to the British Society for Haematology Teenage/Young Adult Specialty Interest Group.

Info: This interactive workshop introduces participants to key ethical, environmental, and practical considerations surrounding the use of generative AI, alongside a hands-on introduction to prompt engineering. Through short activities and discussion, participants will explore topics including sustainability, bias, and responsible AI use while experimenting with a range of popular AI tools. The session encourages a more thoughtful and critical approach to engaging with generative AI technologies.

Suitable for beginners and non-technical audiences. No prior knowledge or technical experience is required.

Info: Dina Strong is a KIF Lecturer in English for Academic Purposes at King's College London, where she leads the CIEL Generative AI in Education Community of Practice and serve as incoming Co-Convenor of BALEAP's Testing, Assessment and Feedback SIG. Her work focuses on reimagining assessment and feedback for the age of AI - treating generative tools as a critical friend rather than a threat to academic integrity. With a PhD in Applied Linguistics (Birkbeck) and over twenty years in EAP, she's particularly interested in process-focused, AI-resilient designs that keep student thinking at the centre.

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