Title: Knowledge graphs to build a networked teaching system for Chinese grammar
Authors: Chunhua Liu; Yong Peng
Addresses: School of Teacher Education, Suqian University, Suqian 223800, Jiangsu, China ' School of Physical Education, Suqian University, Suqian 223800, Jiangsu, China
Abstract: The way that Chinese grammar is currently taught is disjointed and unclear. Pupils struggle to understand the basic relationships between intricate systems of grammatical rules. The paper presents a networked Chinese grammar teaching model that incorporates a knowledge graph. In order to construct a knowledge network of grammatical elements and their logical connections, fundamental grammatical rules and structural relationships are taken from Chinese grammar using natural language processing (NLP) technology. A visual learning module offers a visual depiction of the connections and hierarchical structure of the grammatical system. This model has been further integrated into an online learning platform that dynamically modifies the learning sequence according to students' practice progress while reinforcing the learning process through collaborative tools and real-time feedback.
Keywords: knowledge graphs; Chinese grammar; online teaching; learning platform; grammar rules.
DOI: 10.1504/IJCEELL.2026.153591
International Journal of Continuing Engineering Education and Life-Long Learning, 2026 Vol.36 No.9, pp.57 - 80
Received: 01 Aug 2025
Accepted: 08 Dec 2025
Published online: 18 May 2026 *


