This paper presents a systematic literature review (SLR) of the construction and application of Knowledge Graphs (KGs) in education. The review aims to comprehensively examine the methodologies and applications of KGs across five key domains: Adaptive and Personalised Learning, Curriculum Design and Planning, Concept Mapping and Visualization, Semantic Search and Question Answering, and other miscellaneous applications. The paper highlights the specific functionalities, knowledge extraction techniques, knowledge base characteristics, resource requirements, evaluation criteria, and limitations of each approach. It also identifies research gaps and limitations, providing insights for future advancements. The introduction emphasizes the growing importance of KGs in education, driven by their potential to enhance personalized learning, curriculum design, concept mapping, and educational content recommendation systems. The SLR methodology follows the PRISMA framework, involving a comprehensive search across various databases and a rigorous screening process to select relevant articles. The paper discusses the concept and significance of domain-specific KGs in education, highlighting their ability to provide in-depth insights and context within specialized subjects. It also explores the role of semantic representation and relationships in KGs, which enable more profound insights and precise information needs. The main sections of the paper detail the applications of KGs in each of the five core domains. For adaptive and personalized learning, KGs facilitate tailored learning paths and resource recommendations. In curriculum design and planning, KGs enhance the quality and effectiveness of educational offerings. Concept mapping and visualization techniques, combined with KGs, improve understanding and retention. Semantic search and QA systems leverage KGs to provide contextually relevant information. Miscellaneous applications include innovative uses of KGs in areas such as human resources management and piano teaching. The paper concludes by summarizing the state-of-the-art advancements, discussing limitations such as limited discussion on knowledge extraction techniques, lack of standardization, limited interoperability, sparse and incomplete data, scalability challenges, educational semantic heterogeneity, and the need for real-time updates. It emphasizes the importance of addressing these limitations to further advance the field of educational KGs.This paper presents a systematic literature review (SLR) of the construction and application of Knowledge Graphs (KGs) in education. The review aims to comprehensively examine the methodologies and applications of KGs across five key domains: Adaptive and Personalised Learning, Curriculum Design and Planning, Concept Mapping and Visualization, Semantic Search and Question Answering, and other miscellaneous applications. The paper highlights the specific functionalities, knowledge extraction techniques, knowledge base characteristics, resource requirements, evaluation criteria, and limitations of each approach. It also identifies research gaps and limitations, providing insights for future advancements. The introduction emphasizes the growing importance of KGs in education, driven by their potential to enhance personalized learning, curriculum design, concept mapping, and educational content recommendation systems. The SLR methodology follows the PRISMA framework, involving a comprehensive search across various databases and a rigorous screening process to select relevant articles. The paper discusses the concept and significance of domain-specific KGs in education, highlighting their ability to provide in-depth insights and context within specialized subjects. It also explores the role of semantic representation and relationships in KGs, which enable more profound insights and precise information needs. The main sections of the paper detail the applications of KGs in each of the five core domains. For adaptive and personalized learning, KGs facilitate tailored learning paths and resource recommendations. In curriculum design and planning, KGs enhance the quality and effectiveness of educational offerings. Concept mapping and visualization techniques, combined with KGs, improve understanding and retention. Semantic search and QA systems leverage KGs to provide contextually relevant information. Miscellaneous applications include innovative uses of KGs in areas such as human resources management and piano teaching. The paper concludes by summarizing the state-of-the-art advancements, discussing limitations such as limited discussion on knowledge extraction techniques, lack of standardization, limited interoperability, sparse and incomplete data, scalability challenges, educational semantic heterogeneity, and the need for real-time updates. It emphasizes the importance of addressing these limitations to further advance the field of educational KGs.