Knowledge graphs for domain-specific teaching and learning - a systematic review of the construction models and evaluation methods

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Knowledge graphs improve decision-making and enhance learning experiences in educational contexts, indicating their diverse application.
The review encapsulated 34 articles between 2018 and 2024, emphasizing the rise of knowledge graphs for teaching and learning.
Analysis followed PRISMA guidelines, focusing on evaluation methods and models like deep learning, KGE, and GNNs.
Limitations include data scarcity and generalizability, suggesting future research should aim for standardized methods and enhanced explainability.

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Systematic review highlights knowledge graphs' role in personalized learning, indicating potential advancements in educational methodologies.

Akindele et al. (2025) studied this question.

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Systematic review highlights knowledge graphs' role in personalized learning, indicating potential advancements in educational methodologies.