AI Champion Mentoring Programme for AI Integration in Teaching and Learning
How the Programme Works
- Mentors: Colleagues who are willing to share relevant experience, support a partner’s development and, if they wish, contribute a mentor-led CPD session.
- Mentees: Colleagues seeking support to develop practical uses of AI in their teaching and learning practice.
- Duration: September 2026 – June 2027
- Format: One-to-one mentoring, monthly check-in meetings, workshops, and portfolio reflection.
Roles & Responsibilities
Mentors
- Meet with mentees at least once a month, which is 6 meetings in total
- Help mentees set practical AI goals aligned with their PDR.
- Share your own strategies, tools, and lessons learned.
- Mentors who can demonstrate sustainable engagement with the paired mentees by submitting the meeting logs will receive a Certificate of Mentorship in AI Integration
- If you wish, volunteer to deliver a one- or two-hour CPD session, online or face-to-face, for programme participants and the wider university community.
- If seeking an AI Mentorship Outstanding Pair Award, work with your mentee to submit a reflective portfolio describing your work and its impact.
Mentees
- Meet with mentor at least once a month, which is 6 meetings in total.
- Attend workshops appropriate to your level.
- Actively try out AI tools in your teaching/research/admin.
- Mentees who can demonstrate sustainable engagement with the paired mentor by submitting the meeting logs will receive a Certificate of Mentorship in AI Integration.
- If seeking an AI Mentorship Outstanding Pair Award, work with your mentor to submit a reflective portfolio describing your work and its impact.
Timeline (AY26/27)
4 Sep 2026
Call for mentors & mentees
Registration and profile creation close
16 Sep 2026
17 Sep - 8 Oct, 2026
Matching phase
Speed dating for pair match
22 Sep 2026
13 Oct, 2026
Confirmed matching released
Kickstart launch + First mentor–mentee meetings
14 Oct 2026
Oct 2026–May 2027
Monthly mentor-mentee check-in meetings + workshop participation + mentors provide ongoing guidance
CoP session 1
16 Dec, 2026
17 Mar 2027
CoP session 2
Meeting logs and portfolio submission deadline
14 May 2027
2 Jun 2027
End-of-Year CoP Showcase + prize and certificates celebration
Recognition and Requirements
Meeting Logs and Certificates
Pairs seeking a programme certificate must meet at least six times (ideally once a month) across the two-semester programme and submit completed meeting logs. EDU will provide a standard meeting-log template.
Reflective Portfolio and Outstanding-Pair Awards
Pairs seeking the “AI Mentorship Outstanding Pair” award must submit a reflective portfolio describing the work they completed together and its impact, and the meeting logs to demonstrate sustained engagement. Approximately 10% of programme participants will receive an outstanding-pair award.
EDU will provide a standard reflective-portfolio template for reference. The portfolio should provide concise evidence of the pair’s work, learning and impact.
Support from EDU
- Participant-profile guidance and a Padlet space for sharing interests and work.
- An EDU-developed matching app, fair-allocation process and optional speed-dating event.
- Standard templates for meeting logs and reflective portfolios.
- Two Community of Practice sessions for discussing mentoring relationships and sharing work in progress.
- Mentor-led CPD sessions, open to programme participants and the wider university community.
- Support from instructional designers for consultation or co-creating AI-enabled teaching resources and activities.
- An end-of-year celebration and awards event for sharing outcomes and recognising achievement.
Resources
- Useful tips and resources for AI Mentorship Programme
- Mentorship goals template
- First meeting agenda checklist
- AI Mentorship Programme meeting logs
- Template for end-of-project reflective portfolio
- Mentor and mentee pairing name list (for internal staff only)
Award Judge Panel
| Name | Institution | Position |
| Tünde Varga-Atkins | University of Liverpool | Senior Educational Developer (Digital Education) |
| Jiaxin Wu | University of Nottingham Ningbo China | Deputy Director of Learning Technologies |
| Luisa Li | Duke Kunshan University | Educational Technology Analyst III |
| Peter Atkinson | Imperial College London | Senior Learning Designer |
| Tom Hinks | Queen Mary University of London | Senior Learning Designer |
Welcome
Welcome to the Faculty AI Mentorship Programme!
This initiative supports colleagues in developing their use of AI in teaching, learning, and research. Whether you are a mentor guiding others or a mentee building confidence, this programme will help you set achievable goals, track your progress, and celebrate success.