BrickSmart: Leveraging Generative AI to Support Children's Spatial Language Learning in Family Block Play

要旨

Block-building activities are crucial for developing children's spatial reasoning and mathematical skills, yet parents often lack the expertise to guide these activities effectively. BrickSmart, a pioneering system, addresses this gap by providing spatial language guidance through a structured three-step process: Discovery & Design, Build & Learn, and Explore & Expand. This system uniquely supports parents in 1) generating personalized block-building instructions, 2) guiding parents to teach spatial language during building and interactive play, and 3) tracking children's learning progress, altogether enhancing children's engagement and cognitive development. In a comparative study involving 12 parent-child pairs children aged 6-8 years) for both experimental and control groups, BrickSmart demonstrated improvements in supportiveness, efficiency, and innovation, with a significant increase in children's use of spatial vocabularies during block play, thereby offering an effective framework for fostering spatial language skills in children.

受賞
Honorable Mention
著者
Yujia Liu
Tsinghua University, Beijing, China
Siyu Zha
Tsinghua University, Beijing, China
Yuewen Zhang
Tsinghua University, Beijing, China
Yanjin Wang
University of Toronto, Toronto, Ontario, Canada
Yangming Zhang
Wuhan University, Wuhan, Hubei, China
Qi Xin
Tsinghua University, Beijing, China
Lun Yiu Nie
The University of Texas at Austin, Austin, Texas, United States
Chao Zhang
Cornell University, Ithaca, New York, United States
YINGQING XU
Tsinghua University, Beijing, China
DOI

10.1145/3706598.3714212

論文URL

https://dl.acm.org/doi/10.1145/3706598.3714212

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Language Matters

G318+G319
6 件の発表
2025-05-01 18:00:00
2025-05-01 19:30:00
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