Visualised Demonstration
Knowledge graph (KG) is a knowledge base that uses a graph-structured data model or topology to integrate data. A number of studies in this area use KGs as peripheral sources of educational materials.
A COMP research team proposed a novel framework which employs KGs as a primary tool for instructional design in the paper entitled “Intelligent Instructional Design via Interactive Knowledge Graph Editing”. This paper won the Best Paper Award at the 21st International Conference on Web Based Learning (ICWL 2022). Authors of this paper include CHAN Cheuk Kin Jerry (Research Assistant), WANG Yaowei (PhD Student), Prof. LI Qing, Prof. BACIU George, Prof. CAO Jiannong, Dr HUANG Xiao, Dr LI Chen Richard and Dr NG Hiu Fung Peter.
The team see the potential of KG technologies in instructional design and education. They believe that it could be utilized for course planning, teaching performance prediction and study plan personalization. Unfortunately, research on KGs for educational application is at a preliminary stage. To expedite the development of KG technologies for instructional design, an application framework that encourages reciprocal collocation between educators and KG research is proposed in this paper. An included design tool would ease instructors to express their ideas in the form of KG when they are preparing their courses. The provided web platform allows users to manage, share and browse KGs of course design.
ICWL is an annual International Conference on Web-based Learning, founded by the Hong Kong Web Society. The 21st ICWL was held from 21 to 23 November 2022 at University of La Laguna,T enerife, Spain. It featured a technical program of refereed papers selected by the international program committee, and keynote addresses offered by eminent scholars.
