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Title: A dynamic optimisation method for personalised learning paths integrated with knowledge graphs

Authors: Hongxiang Liu

Addresses: Teacher Education College, Minjiang University, Fuzhou, 350108, China

Abstract: As educational informatisation progresses, optimising personalised learning paths has become a focal point. Static learning paths cannot meet learners' diverse and dynamic needs. We present a dynamic personalised learning path optimisation approach using knowledge graphs. By leveraging knowledge graphs' association and representation, it analyses learner characteristics and learning resource attributes. Then, it builds a precise learning path model and monitors learners' real-time status. This allows dynamic adjustment of learning path node sequences and content presentation to fit individual learner differences. Experiments show it boosts learning efficiency, cuts learning time and error rates, and improves knowledge understanding. This study offers fresh ideas for personalised learning path optimisation, holding theoretical and practical importance. It can boost educational informatisation and aid in the personalised allocation and efficient use of educational resources.

Keywords: knowledge graph; personalised learning path; dynamic optimisation; educational informatisation; personalised allocation of resources.

DOI: 10.1504/IJICT.2025.148825

International Journal of Information and Communication Technology, 2025 Vol.26 No.34, pp.116 - 133

Received: 14 Jun 2025
Accepted: 23 Jul 2025
Published online: 26 Sep 2025 *