Article: Personalised foreign language learning path recommendation strategy based on disciplinary knowledge graph Journal: International Journal of Information and Communication Technology (IJICT) 2025 Vol.26 No.8 pp.49 - 69 Abstract: With an aim to increase learners' learning efficiency and experience, this paper suggests a personalised foreign language learning path suggestion technique based on subject knowledge graph. Using a knowledge graph in the domain of foreign language studies, integrating multidimensional knowledge points such as vocabulary, grammar, and pragmatics, and revealing their correlations and hierarchical structures, a fusion recommendation algorithm based on multiple learning factors was designed. The method improves learning path recommendation by thoroughly considering the sequence and similarity of knowledge items. According to the trial data, this approach can help students master information points rather successfully, optimise the length of learning paths, and significantly enhance learning interest and enthusiasm, providing important references for the design of foreign language learning systems. Inderscience Publishers - linking academia, business and industry through research

Title: Personalised foreign language learning path recommendation strategy based on disciplinary knowledge graph

Authors: Jia Guo; Zhe Zhou

Addresses: School of Foreign Languages and International Trade, Wuhan Polytechnic, Wuhan 430074, China ' School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China

Abstract: With an aim to increase learners' learning efficiency and experience, this paper suggests a personalised foreign language learning path suggestion technique based on subject knowledge graph. Using a knowledge graph in the domain of foreign language studies, integrating multidimensional knowledge points such as vocabulary, grammar, and pragmatics, and revealing their correlations and hierarchical structures, a fusion recommendation algorithm based on multiple learning factors was designed. The method improves learning path recommendation by thoroughly considering the sequence and similarity of knowledge items. According to the trial data, this approach can help students master information points rather successfully, optimise the length of learning paths, and significantly enhance learning interest and enthusiasm, providing important references for the design of foreign language learning systems.

Keywords: knowledge graph; recommended learning paths; similarity of knowledge points; cognitive diagnosis; collaborative filtering.

DOI: 10.1504/IJICT.2025.145719

International Journal of Information and Communication Technology, 2025 Vol.26 No.8, pp.49 - 69

Received: 10 Feb 2025
Accepted: 21 Feb 2025
Published online: 16 Apr 2025 *

Title: Personalised foreign language learning path recommendation strategy based on disciplinary knowledge graph

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