Purpose
Artificial intelligence is changing how we teach, research and work. The AI Mentorship Programme creates structured, supportive partnerships between colleagues so that expertise is shared rather than duplicated. Mentors offer their experience; mentees bring questions, curiosity and their own disciplinary insight. Both partners learn.
Who can take part
All XJTLU staff are welcome — academic, professional services and administrative colleagues, across every campus and department. You do not need advanced technical knowledge to join as a mentee, and you do not need to be an AI specialist to volunteer as a mentor. If you have practical experience colleagues would benefit from, that is enough.
Focus areas
AI Agent Development and Implementation
Designing, building and trialling agents that support teaching, research or professional workflows.
AI-Enhanced Curriculum Redesign
Rethinking modules, learning activities and assessment in light of generative AI.
AI-Enhanced Programme Redesign
Working at programme level on graduate attributes, progression and coherent AI literacy.
Pedagogical Research and Publication About AI
Turning classroom practice into evidence, scholarship and publishable pedagogical research.
What to expect
- Monthly meetings. Pairs meet roughly once a month between October and May, face-to-face or online.
- Community of Practice sessions. Two whole-programme sessions bring all participants together to share progress.
- A reflective portfolio. Participants keep brief meeting logs and a short reflection on what changed in their practice.
- Recognition. The programme closes with a celebration and awards event in June 2027.
How matching works
When registration closes, the programme team reviews every profile. Suggested pairings are generated by comparing the expertise a mentor offers against the development areas a mentee has asked for, alongside shared AI interests, the type of support requested, experience levels, availability, disciplinary preference and preferred meeting format. Every suggestion is reviewed and confirmed by the Educational Development Unit before either participant is notified — the system never finalises a pairing on its own.