KGCD: Leveraging Knowledge Graphs for Intelligent Curriculum Design in Education

Curriculum design is a critical aspect of education, requiring careful consideration of content relevance, student progression, and pedagogical coherence. In recent years, the use of Knowledge Graphs (KG) has gained attention for their ability to represent complex relationships between concepts in a structured format. This paper introduces KGCD (Knowledge Graph-based Curriculum Design), a novel approach to intelligent curriculum design that leverages knowledge graphs to model subject matter interdependencies, skill progression, and student learning paths. By incorporating AI-driven insights, KGCD offers educators a powerful tool for designing adaptive, personalized curricula that align with student needs and educational goals. The system provides real-time suggestions for curriculum adjustments, ensuring the inclusion of relevant content and logical sequencing of topics. Initial pilot studies demonstrate KGCD’s potential to improve curriculum coherence and student learning outcomes by providing data-driven support for curriculum development and revision.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-13
DOI
https://doi.org/10.5281/zenodo.13756522
Primary Topic
Advanced Graph Neural Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

KGCD: Leveraging Knowledge Graphs for Intelligent Curriculum Design in Education

Zenodo (CERN European Organization for Nuclear Research)
Advanced Graph Neural Networks
article

KGCD: Leveraging Knowledge Graphs for Intelligent Curriculum Design in Education

article en

Abstract

Curriculum design is a critical aspect of education, requiring careful consideration of content relevance, student progression, and pedagogical coherence. In recent years, the use of Knowledge Graphs (KG) has gained attention for their ability to represent complex relationships between concepts in a structured format. This paper introduces KGCD (Knowledge Graph-based Curriculum Design), a novel approach to intelligent curriculum design that leverages knowledge graphs to model subject matter interdependencies, skill progression, and student learning paths. By incorporating AI-driven insights, KGCD offers educators a powerful tool for designing adaptive, personalized curricula that align with student needs and educational goals. The system provides real-time suggestions for curriculum adjustments, ensuring the inclusion of relevant content and logical sequencing of topics. Initial pilot studies demonstrate KGCD’s potential to improve curriculum coherence and student learning outcomes by providing data-driven support for curriculum development and revision.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 59%
Advanced Graph Neural Networks
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