BALAN Meeting - July 10th 2026 

We are very much looking forward to our next BALAN meeting, where we will be joined by Professor Yizhou Fan and Professor Qiong Wang from Peking University. 

Professor Fan will present a keynote on "A Metacognitive Approach to Learning and Performance in Human-AI Interaction":

Generative AI has made it easier than ever for human to perform well—but not necessarily to learn well. Learners can now outsource drafting, reasoning, feedback, and even evaluation to AI, producing fluent and high-quality outputs with less effort. This creates a critical tension for education and human-AI interaction: when does AI-supported performance become durable human learning, and when does it become a performance illusion? In this talk, I address this question through a metacognitive lens. I connect the FLoRA project’s work on measuring and scaffolding self-regulated learning with empirical evidence on metacognitive laziness in GenAI-supported learning, where improved task performance does not necessarily translate into knowledge gain or transfer. I then introduce a broader theoretical account of metacognitive offloading and onloading, formalised in the newly proposed model of human-AI interaction. By distinguishing autopilot performance from synergetic mastery, this talk outlines how AI can support not only what learners produce, but also what they become capable of doing.