AIR4Children: Artificial Intelligence and Robotics for Children
Rocio Montenegro, Elva Corona, Donato Badillo-Perez, Angel, Mandujano, Leticia Vazquez, Dago Cruz, Miguel Xochicale

TL;DR
This paper introduces AIR4Children, a child-centered approach to AI and Robotics focusing on inclusion, accessibility, and fairness, supported by open-source technologies and Montessori-inspired educational methods.
Contribution
It proposes a comprehensive framework for developing inclusive, affordable, and participatory AI and Robotics materials for children, emphasizing open-source tools and educational philosophies.
Findings
Initial pilots demonstrate feasibility of child-centered AIR tools
Open-source hardware/software enhances accessibility and participation
Proposed methods support development of computational thinking in children
Abstract
We introduce AIR4Children, Artificial Intelligence for Children, as a way to (a) tackle aspects for inclusion, accessibility, transparency, equity, fairness and participation and (b) to create affordable child-centred materials in AI and Robotics (AIR). We present current challenges and opportunities for a child-centred approaches for AIR. Similarly, we touch on open-sourced software and hardware technologies to make a more inclusive, affordable and fair participation of children in areas of AIR. Then, we describe the avenues that AIR4Children can take with the development of open-sourced software and hardware based on our initial pilots and experiences. Similarly, we propose to follow the philosophy of Montessori education to help children to not only develop computational thinking but also to internalise new concepts and learning skills through activities of movement and repetition.…
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Taxonomy
TopicsTeaching and Learning Programming · Child Development and Digital Technology · Educational Research and Pedagogy
