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About

Edith Law is a prominent researcher whose work sits at the intersection of human-computer interaction, educational technology, and artificial intelligence. She is best known for her pioneering investigations into curiosity-driven learning, teachable agents, and social robotics in educational contexts. Law's most influential contribution explores how social robots can express curiosity to enhance student engagement and learning outcomes, a line of work that has garnered over 50 citations and helped establish design principles for emotionally expressive educational robots. Her Curiosity Notebook platform — cited nearly 50 times across multiple publications — provides researchers with a rigorous infrastructure for studying the nuanced "learning by teaching" phenomenon, reducing the variability that has historically complicated such research. Law has also examined how adaptive robots can foster teamwork and personalized dialogue through reinforcement learning, pushing the boundaries of human-robot interaction in classrooms. Beyond educational technology, her work on crowdsourcing scientific tasks, particularly scoring phylogenetic data for biodiversity research, demonstrates a broad methodological range. Altogether, Law's research offers meaningful contributions to how curiosity, collaboration, and intelligent systems can be harnessed to transform learning environments.