Xinzhu Wang

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About

Xinzhu Wang is a leading researcher at the intersection of artificial intelligence and educational technology, with a primary focus on smart education systems and AI literacy for K-12 learners. Her work has been instrumental in shaping how Chinese education informatization evolves, particularly through her comprehensive 2019 review on smart education development, which has garnered 29 citations and established foundational frameworks for integrating intelligent tutoring systems, smart campuses, and big data into educational practice. Wang’s most impactful contribution is her 2020 design of an AI educational system specifically tailored for primary and secondary school students, which has earned 10 citations for its innovative approach to making complex AI algorithms accessible through modular, user-friendly interfaces. This system, paired with developmentally appropriate AI curricula, addresses a critical gap in preparing young learners for an AI-driven world. Her research not only advances theoretical understanding of technology-enhanced learning but also provides practical, scalable solutions for educational institutions. Wang’s work is particularly notable for its emphasis on cognitive-level-appropriate instruction, ensuring that AI education is both rigorous and engaging for diverse student populations.