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workshop paper

ACL 2024

August 15, 2024

Bangkok, Thailand

Educational Material to Knowledge Graph Conversion: A Methodology to Enhance Digital Education

keywords:

personalized learning

intelligent educational technologies

educational content

knowledge modelling

automated kg generation

text-to-knowledge graph conversion

educational material to knowledge graph conversion

semantic search

large language models

knowledge graphs

natural language processing

This article argues that digital educational content should be structured as knowledge graphs (KGs). Unlike traditional repositories such as Moodle, a KG offers a more flexible representation of the relationships between concepts, facilitating intuitive navigation and discovery of connections. In addition, it integrates effectively with Large Language Models, enhancing personalized explanations, answers, and recommendations. This article studies different proposals based on semantics and knowledge modelling to determine the most appropriate ways to strengthen intelligent educational technologies.

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