#10525. Intelligent personalised exercise recommendation: A weighted knowledge graph-based approach

September 2026publication date
Proposal available till 26-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Education;
Engineering (all);
Computer Science (all);
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Abstract:
As a critical function for intelligent tutoring system services, personalised exercise recommendation plays an important role in boosting the study performance of students. However, recent studies on personalised exercise recommendations have only considered the ability of a student during recommendation and have failed to include the essential relationships between knowledge points, which provide a suitable learning sequence of these knowledge points during a study procedure. In this study, we propose an intelligent exercise recommendation method (weighted knowledge graph-based recommendation [WKG-R]) for students, based on weighted knowledge graphs, wherein each node represents a knowledge point weighted by the ability of a student and an arrowed edge between two knowledge points indicates their prerequisite relationship.
Keywords:
competence to knowledge point; intelligent tutoring system; knowledge graph; personalised recommendation; student-testing behaviour

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