Bradford Mott

Papers

Total Citations

H-Index

About

Bradford Mott is a leading researcher at the intersection of artificial intelligence, game-based learning, and K-12 computer science education. His work explores how young learners conceptualize and engage with emerging technologies, with a particular focus on designing intelligent, interactive environments that foster computational thinking. Mott’s most cited paper, “How do Elementary Students Conceptualize Artificial Intelligence?” (2021, 21 citations), provides foundational insights into children’s mental models of AI, informing curriculum design and pedagogical approaches worldwide. This work is part of a broader portfolio that includes developing narrative-centered learning environments and adaptive educational games that leverage AI to personalize instruction. Mott’s research has been instrumental in shaping how educators introduce complex AI concepts to elementary students, bridging the gap between technical systems and young learners’ intuitive understanding. His contributions have been recognized through multiple National Science Foundation grants and collaborations with leading institutions, positioning him as a key voice in the movement to integrate AI literacy into early education. For students and researchers, Mott’s work offers a compelling model of how to make cutting-edge technology accessible, engaging, and meaningful for the next generation.