Yingxiang Lu

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About

Yingxiang Lu is a rising scholar at the intersection of artificial intelligence and educational technology, with a primary focus on enhancing AI education through innovative pedagogical tools. Her most significant contribution to date is a comprehensive meta-analysis of 22 empirical studies, which systematically examines the effects of educational games on AI learning outcomes. This work, published in 2024, has already garnered 4 citations, signaling its timely relevance in a rapidly evolving field. By dissecting variables such as school segment, experimental period, and game types, Lu provides actionable insights for educators and game designers seeking to optimize AI curricula. Her research bridges the gap between theoretical AI concepts and practical, engaging instruction, positioning her as a key voice in the movement to democratize AI literacy. As the demand for AI education surges, Lu’s evidence-based framework offers a critical roadmap for integrating gamification strategies, making her work essential reading for researchers and practitioners alike. Her early-career impact suggests a promising trajectory in shaping how future generations learn about artificial intelligence.