Artificial intelligence (AI) learning tools in K-12 education: A scoping review

This scoping review examines 46 studies on AI literacy education in K-12 contexts, analyzing pedagogical strategies, learning tools (e.g., Scratch, Teachable Machine, Machine Learning for Kids), assessment methods, and student learning outcomes across cognitive, affective, and behavioral domains. The review identifies age-appropriate AI learning tools and effective pedagogical approaches (project-based, human-computer collaborative, play/game-based) for teaching AI concepts to K-12 students.

Artificial intelligence (AI) literacy is a global strategic objective in education. However, little is known about how AI should be taught. In this paper, 46 studies in academic conferences and journals are reviewed to investigate pedagogical strategies, learning tools, assessment methods in AI literacy education in K-12 contexts, and students’ learning outcomes. The investigation reveals that the promotion of AI literacy education has seen significant progress in the past two decades. This high

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