Construction and application effect analysis of engineering education knowledge graph based on graph convolutional network

Key Points

• The aim is to analyze the effects of an engineering education knowledge graph using graph convolutional networks.
• Constructed a knowledge graph for engineering education.
• Applied graph convolutional networks for analysis.
• Assessed the application effects of the knowledge graph in educational settings.
• Showed improvements in knowledge dissemination.
• Enhanced understanding of engineering concepts.
• Indicated potential for better student engagement.

Abstract