Title: Effects of a knowledge graph-based learning approach on student performance and experience
Authors: Kechen Qu; Kam Cheong Li; Billy Tak-Ming Wong; Maggie Liu; Venus Chan; Lap-Kei Lee
Addresses: The Open University of China, Beijing, 100039, China ' Hong Kong Metropolitan University, Homantin, Hong Kong, China ' Hong Kong Metropolitan University, Homantin, Hong Kong, China ' Hong Kong Metropolitan University, Homantin, Hong Kong, China ' Hong Kong Metropolitan University, Homantin, Hong Kong, China ' Hong Kong Metropolitan University, Homantin, Hong Kong, China
Abstract: This paper presents a knowledge graph-based learning approach, featuring knowledge graphs for concept visualisation and information retrieval. It illustrates the development of a learning system which incorporates a competency-based knowledge graph covering the dimensions of knowledge, skill, and ability. The system was evaluated for a learning task on English academic reading. A total of 96 undergraduate students were invited to complete the learning task, half of which were allocated to the experimental group. This group used the knowledge graph-based approach for learning. The other half served as the control group, who learned with contents organised in a conventional manner. The evaluation results revealed that the experimental group performed significantly better than the control group. The students who learned with the knowledge graph-based approach provided positive feedback on their learning experience, and suggested desired features such as personalised learning, data tracking and analysis, and structured learning contents.
Keywords: knowledge graph; ontology; competency-based education; CBE; learning performance; learning experience.
DOI: 10.1504/IJMLO.2024.140169
International Journal of Mobile Learning and Organisation, 2024 Vol.18 No.5, pp.1 - 22
Received: 30 Jan 2024
Accepted: 04 May 2024
Published online: 26 Jul 2024 *