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Where is AIED Headed? Key Topics and Emerging Frontiers (2020-2024)
This paper conducts a bibliometric analysis of 2,398 AIED research articles from 2020-2024, mapping the field's knowledge structure through keyword co-occurrence networks and identifying four emerging frontiers: large language models, generative AI, multimodal learning analytics, and human-AI collaboration.
In this study, we analyze 2,398 research articles published between 2020 and 2024 across eight core venues related to the field of Artificial Intelligence in Education (AIED). Using a three-step knowledge co-occurrence network analysis, we analyze the knowledge structure of the field, the evolving knowledge clusters, and the emerging frontiers. Our findings reveal that AIED research remains strongly technically focused, with sustained themes such as intelligent tutoring systems, learning analyti