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 Awardprize 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?
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.