Despite the growing use of large language models (LLMs) in educational contexts, there is no evidence on how these can be operationalized by students to generate custom datasets suitable for teaching and learning. Moreover, in the context of network science, little is known about whether LLMs can replicate real-life network properties. This study…

Current learning platforms generally have problems such as fragmented knowledge, redundant information, and chaotic learning routes, which cannot meet learners' autonomous learning requirements. This paper designs a learning path recommendation system based on knowledge graphs by using the characteristics of knowledge graphs to structurally…

This case study examines the changing trends in artificial intelligence (AI) education on YouTube using a blend of social network analysis and quantitative ethnography, explicitly employing the epistemic network analysis method. YouTube's function as a significant informal learning platform provides an opportunity to investigate the distribution…