AI Champion Mentoring Programme for AI Integration in Teaching and Learning
How the Programme Works
- Mentors: Advanced users of AI who commit to supporting colleagues for one academic year.
- Mentees: Staff who want to progress from Beginner → Intermediate or Intermediate → Advanced.
- Duration: November 2025 – May 2026.
- Format: One-to-one mentoring, monthly check-in meetings, workshops, and portfolio reflection.
Roles & Responsibilities
Mentors
- Meet with mentees at least once a month.
- Help mentees set practical AI goals aligned with their PDR.
- Share your own strategies, tools, and lessons learned.
- Complete a Mentor Reflection Report or Video at year-end.
- Mentors who can demonstrate sustainable engagement with the paired mentees will receive Certificate of Mentorship in AI Integration?in May?and be eligible to enter a prize selection for the “AI Champion Mentor Award,” which recognises outstanding mentorship impact.
Mentees
- Complete a Learning Portfolio/Reflection Video(notes from workshops, AI activities, reflections).
- Attend workshops appropriate to your level.
- Actively try out AI tools in your teaching/research/admin.
- Share at least one example of AI integration with peers.
- Mentees who can demonstrate sustainable engagement with the paired mentor will be eligible to enter a prize selection for the “AI Innovator Award” (prizes for best examples of AI-enhanced teaching, research, or admin practice)
Timeline (AY25/26)
Sep 22, 2025
Call for Mentors & Mentees
Registration close
Oct 31th, 2025
Nov 12th, 2025
Orientation + First Mentor–Mentee Meetings
Monthly mentor-mentee check-in meetings + workshop participation + mentors provide ongoing guidance
Dec 2025 – May 2026
Jan 28th, 2026
Mid-Year CoP Sharing Session
End-of-Year CoP Showcase + prize and certificates celebration
May 13th, 2026
Learning Portfolio/Video (for Mentees)
At the close of the programme (May 2026), mentees are asked to submit a short Learning Portfolio/Video?to reflect on their AI integration journey and demonstrate their progress. This portfolio/video is used to:
- Document progression for annual PDR discussions.
- Provide evidence for consideration in the AI Innovator Award prize?selection.
- Capture best practices for XJTLU’s AI community.
Keep track of your progress by recording:
- Workshops attended
- Tools used
- Example activities/materials created with AI
- Reflections on challenges and successes
- Feedback from mentor and colleagues
Tip: EDU will provide a digital template that you can consider using to create your learning portfolio/video.
End-of-Project Report/Video (for Mentors)
At the close of the programme (May 2026), mentors are asked to submit a short End-of-Project Report/Video?to reflect on their mentoring journey and demonstrate their contribution. This report is used to:
- Confirm eligibility for the Certificate of Mentorship in AI Integration.
- Provide evidence for consideration in the AI Champion Mentor Award prize selection.
- Capture best practices for XJTLU’s AI community.
Keep track of your mentoring contribution by recording:
- Number of mentorship meetings held (dates + formats).
- Mentees’ main goals and how they were supported.
- Examples of tools, strategies, or activities introduced to mentees.
- Reflections on successes and challenges in mentoring.
- Evidence of mentees’ progression.
- Suggestions for improving the mentorship programme in future.
Tip:?EDU will provide a digital template that you can consider using to create your report/video.
Support from EDU
- Training workshops at all levels
- Digital templates (Learning Portfolio/Video, Mentor Report/Video)
- Conversation guide for mentors/mentees
- Support from instructional designers for consultation or co-creating AI-enabled teaching resources/activities
- End-of-year showcase to celebrate achievements
Pathways for Mentees
Your journey is based on your current level (from the AI-Integration Self-Evaluation Tool).
- Learn to use 1–2 AI tools (e.g., XIPU AI, DeepSeek).
- Attend at least 2 beginner workshops.
- Apply AI in teaching/admin (e.g., upload module docs into AI Tutor).
- Write short reflections on how AI can impact your teaching.
Starter Questions/Activities:
- What is one task in your teaching/research that feels repetitive and could be streamlined by AI?
- Try out a beginner-friendly tool together (e.g., Canva AI, Grammarly). What worked well? What felt clunky?
- Reflect: How can AI tools enhance or impede your teaching and your students’ learning?
- Attend at least 2 intermediate/advanced workshops.
- Integrate AI into course design and student activities.
- Run at least 1 activity where students critique or co-create with AI.
- Share your work at a School or University showcase or CoP event.
Starter Questions/Activities:
- What are the most time-consuming or mundane parts of your teaching? Could AI help?
- How can students use AI critically, not just passively?
- Draft an activity where students evaluate or co-createwith an AI tool — then pilot it in class.
- Reflect: How can AI tools enhance or impede your teaching and your students’ learning?
Resources
- Useful Tips and Resources for AI Mentorship Programme
- Mentorship goals template
- First meeting agenda checklist
- Template for learning portfolio (mentee)
- Template for end-of-project report (mentor)
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.