Metacognition—thinking about one's own thinking—is one of the strongest predictors of learning success, yet it remains invisible and difficult to assess at scale. AI now offers unprecedented opportunities to detect, analyze, and support metacognitive processes through natural language analysis, behavioral analytics, and interactive assessment.
-Develop an understanding of metacognition concepts and its importance on Teaching and Learning
-Explore how AI makes metacognition observable across large groups of learners through language analysis and behavioral signals
-Learn how AI provides educators with unprecedented insight into class-wide thinking patterns, supporting data-informed instructional decisions
Speakers
Sarah Wang
Principal at St Bees Dongguan
Ms Sarah Wang holds a Master's in Education from Manchester University, alongside professional certifications from CMI and CIM. A member of the UK's Institute of Directors, she spent 12 years at English UK, the national association for English language teaching sector in the UK, conducting government scoping visits to 30+ countries. She joined Full Circle Education in 2017, overseeing multiple new school developments while advising leading UK brands like Harrow AISL. Currently Principal of St Bees Dongguan, she also serves as Vice-Chair of the British Chamber of Commerce in China's Education Working Group.
Yuqian Zhou
Associate Professor
Yuqian (Linda) is an Associate Professor in the School of Education with specialist expertise in mathematics education. Linda's international perspectives have shaped her research focus on curriculum design for both secondary and upper primary mathematics, with particular emphasis on integrating East-West pedagogical approaches grounded in variation theory and mathematics mastery principles. Currently, Linda's research involves investigating the application of comparative judgement as a dynamic pedagogical tool in Maths Education, examining how this method can enhance dialogue-based assessment practices.
