Building Contextual Knowledge Graphs for Personalized Learning Recommendations using Text Mining and Semantic Graph Completion

Understand

Modelling learning objects (LO) within their context enables the learner to advance from a basic, remembering-level, learning objective to a higher-order one, i.e., a level with an application- and analysis objective.

• While hierarchical data models are commonly used in digital learning platforms, using graph-based models enables representing the context of LOs in those platforms.
• This leads to a foundation for personalized recommendations of learning paths.
• In this paper, the transformation of hierarchical data models into knowledge graph (KG) models of LOs using text mining is introduced and evaluated.