🏷️ Concept
Knowledge Graph
Knowledge graph — a structured representation of concepts and their relationships used to model domain knowledge, student understanding, and learning dependencies in AI in education systems. Knowledge graphs enable AI systems to reason about what students know, what they need to learn next, and how concepts relate to each other.
Knowledge graphs provide the structural backbone for many intelligent education systems. Unlike flat lists of skills or concepts, knowledge graphs capture prerequisite relationships, similarity, and hierarchical organization — essential for Adaptive Learning, Knowledge Tracing, and Student Modeling.
How knowledge graphs are used in AIED
LLM-driven knowledge graph construction
Recent research explores using LLMs to automatically construct knowledge graphs from educational content. The HiLLM-CD framework uses multi-agent LLM pipelines to generate exercise-concept links and hierarchical concept trees, reducing reliance on expert annotation. This connects to broader Generative AI applications in curriculum design and automated content organization.
Related concepts
Knowledge graphs connect to Instructional Design (defining what to teach), Curriculum Design (how to sequence it), and Learning Analytics (extracting insights from student interaction data). They are foundational to Intelligent Tutoring systems that need structured representations of educational domains.