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About

Ling Lee is a pioneering researcher at the intersection of educational technology and human-robot interaction, with a primary focus on leveraging robotics to transform mathematics education. Her most influential work, "A Joyful Classroom Learning System with Robot Learning Companion for Children to Learn Mathematics Multiplication" (118 citations), introduced the Joyful Classroom Learning System (JCLS)—a mobile, flexible platform grounded in experiential and constructivist learning theories. This system integrates robot learning companions to create an engaging, joyful environment for mastering multiplication, demonstrating how technology can make abstract mathematical concepts tangible and fun. Lee further advanced the field with her study "Designing a robot teaching assistant for enhancing and sustaining learning motivation" (60 citations), which critically examined the challenge of maintaining student engagement beyond initial novelty. She proposed instructional design strategies to sustain motivation over time, addressing a key limitation in educational robotics. Her application of the ARCS (Attention, Relevance, Confidence, Satisfaction) model to robot-assisted learning provides a robust theoretical framework for designing effective teaching assistants. Lee’s work has significantly influenced the design of interactive learning systems, offering practical insights for educators and technologists aiming to create lasting, meaningful learning experiences through robotics.