Artificial Intelligence (AI) in early childhood education: Curriculum design and future directions

Jiahong Su, Yuchun Zhong

Computers and Education Artificial Intelligence · 2022 · 232 citations · 39 references

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TL;DR

Rapid AI‑driven technological change is increasing demand for AI‑literate workers, yet research on AI curricula for early childhood education remains scarce. The study aims to develop AI competencies for the next generation and to examine kindergarten AI curricula to address the lack of standardization. The authors analyze kindergarten AI curricula using a four‑component framework covering aims, content, methods, and assessment. The study recommends achieving AI literacy through knowledge, skill, and attitude competencies, finds that social robots aid children’s grasp of AI principles, identifies the most effective teaching methods, and advocates problem‑based learning for future AI education.

Abstract

With the rapid technological development of society brought on by Artificial Intelligence (AI), the demand for AI-literate workers will increase in the future. It is critical to develop the next generation's AI competencies and educate them about how to work with and use AI. Previous studies on AI were predominantly focused on secondary and university education; however, research on the Artificial Intelligence curriculum in early childhood education is scarce. Due to the lack of conformity on the standardisation of AI curriculum for early childhood education, this study examines the AI curriculum for kindergarten children using the framework which consists of four key components, including (1) aims, goals, objectives, or declarations of outcome, (2) subject matter, domains, or content, (3) methods or procedure, (4) evaluation and assessment. We recommend that AI literacy be achieved by three competencies: AI Knowledge, AI Skill, and AI Attitude. The employment of a social robot as a learning companion and programmable artifact was proven to be helpful in assisting young children in grasping AI principles. We also discovered which teaching methods had the most greatest influence on students' learning. We recommend problem-based learning for future AI education based on the findings.

References

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