The Human–AI Learning Loop: Empowering High Ability Learners with Metacognitive and Executive Function Skills
Can AI be used to strengthen students’ executive function and metacognitive skills without replacing teacher judgement or human connection?
This workshop presents a human–chatbot–human model developed at Raffles Girls’ School, Singapore, where a custom AI chatbot supports structured student reflection and informs teacher follow-up. Drawing on data from over 300 early-adolescent high-ability learners, participants will explore how AI can be designed as a reflective companion to support self-regulated learning within a pedagogy-first, human-centred framework. The session will offer practical insights, design principles, and important findings for educators based on this case study.
Facilitated By
Siao Hua Wang
Assistant Head, Education Technology, Raffles Girls’ School (Secondary)
Wang Siao Hua is Assistant Head (EdTech) and Assistant Head (Mathematics) at Raffles Girls’ School, Singapore. An MOE Teaching Scholar and Postgraduate Scholar, she brings over two decades of experience across classroom teaching, Ministry-level work, and school leadership. Her work focuses on pedagogy-first integration of AI, assessment design, and the development of executive function and metacognitive skills in high-ability learners.
She has led school-wide initiatives in AI literacy, e-assessment, and EdTech professional development, and has piloted custom AI chatbot tools to support both teacher productivity and student learning. Her current work sits at the intersection of pedagogy, policy, and responsible AI use, with a particular interest in human-centred AI models that strengthen learning, reflection, and professional judgement in education.
Yin Lai Tan
Head of Information Communication Technology, Raffles Girls’ School (Secondary)
