Harnessing Artificial Intelligence for History Education: A New Chapter in Pedagogical Innovation

ABSTRACT This study examines the integration of artificial intelligence (AI) into history education, highlighting its potential to transform pedagogical practices and enhance student engagement. Through a comprehensive bibliometric analysis of 110 publications from 1985 to 2025, the research identifies key trends, thematic clusters, and influential works that have shaped this interdisciplinary field. Findings reveal a steady growth in scholarly interest, particularly post‐2011, with emerging themes such as immersive virtual environments, AI‐driven personalised learning, and digital heritage preservation. The analysis highlights regional variations, with countries such as China and India leading in technological applications, while Western nations tend to focus more on pedagogical strategies. Cluster and trend analyses reveal a shift from foundational topics, such as historical text comprehension, to innovative approaches involving chatbots, augmented reality, and advanced AI algorithms, including federated and adversarial learning. Influential articles highlight the importance of immersive technologies and AI‐powered assessment tools in promoting critical thinking and cultural understanding. Despite promising developments, the study acknowledges several limitations, including its reliance on the Scopus database and the selection of keywords, which may restrict the scope of the findings. This research highlights AI's transformative potential in history education, advocating for continued exploration of the ethical, pedagogical, and technological challenges that foster inclusive, engaging, and innovative learning environments.