This hands-on workshop is designed for teachers who want to use AI meaningfully, and practically in their classrooms. Drawing on real challenges from daily teaching—feedback, differentiation, inclusion, participants will explore a set of simple but powerful AI workflows that have been tested and refined in authentic MYP contexts.
Through interactive activities, teachers will learn how to:
Refine prompts using a classroom-ready framework
Create role-modelled AI “teaching assistants”
Use native-language voice input to support multilingual and diverse learners
Detect AI hallucinations with confidence
The session is fast-paced, practical, and rooted in the design cycle, giving educators immediate tools they can apply the very next day. Whether you’re just beginning your AI journey or looking to enhance your practice, this workshop offers a space to experiment, reflect, and learn alongside fellow educators.
Workshop Leader
Narvesh Auchoybur
I am a practising MYP/DP Design teacher who experiments with AI every single day—not as a tech specialist, but as an educator trying to solve genuine classroom challenges. My work is grounded in the design cycle: identifying pain points in planning, feedback, inclusion, and workload, then testing how AI can meaningfully reduce friction for both teachers and students.
Through continuous experimentation with prompt refinement, role-modelled AI behaviours, native-language voice workflows, and strategies for detecting and correcting hallucinations, I’ve developed practical, classroom-tested approaches that genuinely support learning and teaching.
This will be my first time on the conference stage, and I bring the energy and curiosity of a teacher-researcher eager to share what I’ve discovered—and just as eager to learn from fellow educators who are navigating their own AI journeys.