Across K–12, higher education, and lifelong learning, the question of AI’s added value in supporting instruction is deeply connected to how we, as educators, intentionally design that support to reflect our students, our disciplines, and our professional values. This action lab invites you to explore that opportunity with us.

Rather than focusing on ready-made generic best practices, we will work together on your own instructional idea. Through a guided and highly interactive design process, you will develop a personalised Human-AI instruction practice grounded in your specific teaching context.

Participants will use a structured AI-guided design process that supports their thinking step by step. Instead of providing ready-made lesson plans, the AI will guide them through key questions, helping them clarify their goals, adapt ideas to their context, and refine their instructional design.

By the end of the action lab, participants will leave with a clearly articulated, personalised Human-AI instruction practice developed from their own context, whether teaching young learners, adolescents, or university students, as well as a structured framework and practical tools to sustain and further develop their design beyond the session.

The action lab will also open a conversation on how individually developed instructional practices can evolve into shared organisational repositories of AI-supported teaching designs.