Artificial Intelligence With and for Children: Scoping Review

• In Event: AERA Roundtable Session Sunday 1:45 pm
  In Roundtable Session: AI, Technology, Digital Litercy, and Computational Thinking n Early Childhood

Abstract

Artificial Intelligence (AI) has increasingly shaped discourse and practice in contemporary society through national policies, industrial applications, and the growing everyday use of smart devices. This scoping review examined 21 empirical studies on AI with and for children in early childhood and elementary education settings, all published between 2020 and 2025. The review aimed to (1) assess whether previously identified research gaps have been addressed and (2) identify emerging trends in AI research involving young learners. We report on analysis results, focusing on six key areas: countries, theoretical/conceptual frameworks, methods, participants, types of AI tools, and expected outcomes of the reviewed articles. The paper concludes with implications for future early childhood research and practice.

Authors

• Shinho Kim, Framingham State University

• Kyung Hwa Lee, University of Georgia

• Gyu Lim Choi, University of Georgia

• Katherine C. Cheng, University of Arizona

• Naeun Yun, University of Georgia

• Sung Eun Jung, University of Arizona

• Hyeungok Kang, California State University - San Bernardino

• Soo Won Shim, Illinois State University

• Xiaoying Zhao, Illinois State University