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

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 inK-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 highlights that intelligent agents, includingGoogle’s TeachableMachine, Learning ML,andMachineLearningfor Kids,areage-appropriatetools for AI literacy education inK-12 contexts. Kindergarten studentscan benefit fromlearningtools such as PopBots, whilesoftware devices, such as Scratch and Python, which help to develop thecomputational thinkingof AIalgorithms,can beintroduced to both primary and secondary schools. Theresearch shows that project-based, human–computer collaborativelearningand play-and game-based approaches, with constructivist methodologies, have been applied frequently in AI literacy education. Cognitive, affective, and behavioral learning outcomes, course satisfaction and soft skills acquisition have been reported. The paper informs educators of appropriate learning tools, pedagogical strategies, assessment methodologies in AI literacy education, and students’ learning outcomes. Research implications and future research directions within theK-12 context are also discussed