What is the topic?

This webinar explores how Artificial Intelligence can be meaningfully integrated into laboratory education to support student learning and teaching practice. Through concrete examples from higher education, we will examine how AI can address common challenges in lab courses while remaining pedagogically grounded. One example focuses on the design and evaluation of an AI-feedback tool for scientific-style laboratory reports, developed to provide timely, high-quality formative feedback. Another example introduces vibe coding, showing how educators can use AI to rapidly transform pedagogical ideas into bespoke learning tools tailored to their own laboratory teaching contexts.

What will you gain?

You will gain practical insights into designing and implementing AI tools that support learning in laboratory courses. You will learn design principles and evaluation outcomes of an AI-feedback system tested in a large undergraduate course, including student perceptions and educational impact. Furthermore, you will learn how AI can be used to rapidly create custom learning tools such as virtual labs, interactive animations, or practice environments, without programming expertise. The session will help you identify ways to use AI that fit your own teaching context and constraints.

What will the session look like?

This is an interactive 60-minute webinar that will explore how AI-driven feedback and AI-enabled creation of learning resources can support laboratory education. Short presentation segments will alternate with interactive moments where participants reflect, discuss, and connect the ideas to their own teaching contexts. By the end of the session, you will leave with ideas to experiment with AI in your own lab courses.