Xixin Lan

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About

Xixin Lan is a leading researcher at the intersection of artificial intelligence and education, with a primary focus on game-based learning (GBL) in AI curricula. Lan’s most influential work, a 2022 systematic literature review on GBL in AI education (78 citations), provides a comprehensive synthesis of empirical studies, mapping how interactive game environments can effectively teach complex AI concepts. This paper has become a foundational reference for educators and technologists seeking to bridge engagement with technical rigor. Beyond this landmark review, Lan’s broader contributions include designing and evaluating novel GBL frameworks that enhance student motivation and conceptual understanding in AI classrooms. With a growing citation impact, Lan is recognized for shaping the pedagogical strategies of next-generation AI instruction, making abstract topics accessible through play. Their work has been featured in top-tier educational technology venues and continues to influence both curriculum development and the design of intelligent tutoring systems. For students and researchers, Lan’s research offers a compelling blueprint for making AI education more inclusive, interactive, and effective.