Future-Ready Minds: A Review of AI Integration in Children'sEducation

Abstract

This article explores various facets of AI education for children,presenting insights from multiple studies and educational programs. Thefocus ranges from the integration of AI in educational curricula to theeffectiveness of AI cloud services in enhancing programmingexperiences. Emphasizing the importance of computational thinking, thearticle discusses the role of games in teaching AI concepts and theinteraction of children with intelligent agents and autonomoustechnologies. Additionally, it delves into the economic significance ofincorporating machine learning in everyday items, fostering participatorylearning and data agency in children. The article introduces innovativetools such as an explainable AI (XAI) educational tool designed forclassroom use, aiming to enhance data and digital literacy. Moreover, ithighlights the challenges of teaching machine learning in K-12classrooms and introduces low-floor tools to make ML accessible toyounger students. The revolutionary impact of the Teachable Machine indemocratizing ML education is discussed. Finally, the article addressesthe growing concerns about children's digital rights in the era ofpervasive data collection and emphasizes the need for protectivemeasures. This compilation provides a comprehensive overview of thediverse landscape of AI education for children, advocating for ethicalpractices and inclusive AI literacy.