AI-Simulated Expert Annotation for CASE-Aligned Knowledge Graph Construction in Education
Yong-Sang Cho, Hyun Sook Yi, Kibum Kim, Daehyup Park, Hyerim Noh, Seungsoon Kim, Minjung Kim
Problems Identified (4)
Scalable interoperable educational knowledge representations: Digital transformation in education creates a need for scalable and interoperable knowledge representations for AI-driven personalization and assessment.
Curriculum knowledge graph construction from standards: There is a need to construct educational knowledge graphs directly from formal curriculum standards.
Scalable interoperable educational knowledge representations: Digital transformation in education creates a need for scalable and interoperable knowledge representations for AI-driven personalization and assessment.
Curriculum knowledge graph construction from standards: There is a need to construct educational knowledge graphs directly from formal curriculum standards.
Proposed Solutions (5)
CASE-aligned multi-agent KG construction: The study proposes a CASE-aligned Multi-Agent Framework for constructing educational knowledge graphs from formal curriculum standards.
Supervisor-orchestrated specialized agents: The framework uses specialized agents coordinated by a supervisor protocol to automate analysis, relationship synthesis, and validation.
Human-context-grounded relation inference: The agents use human-annotated data as contextual ground truth to infer hierarchical, sequential, and compositional relationships among learning objectives.
CASE-aligned multi-agent KG construction: The study proposes a CASE-aligned Multi-Agent Framework for constructing educational knowledge graphs from formal curriculum standards.
Supervisor-orchestrated specialized agents: The framework uses specialized agents coordinated by a supervisor protocol to automate analysis, relationship synthesis, and validation.
Results (3)
Improved KG quality over single LLM:
Scalable foundation for curriculum-aligned KG generation:
Support for downstream education applications:
Research Domain
AI in education; educational knowledge graph construction