D?K? I: Data-Knowledge-Driven Group Intelligence Framework for Smart Service in Education Metaverse

【Author】 Zheng, Wenbo; Yan, Lan; Zhang, Wenwen; Ouyang, Liwei; Wen, Ding

【Source】IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS

【影响因子】11.471

【Abstract】Metaverse is the fusion of cyber-physical-social intelligence, and the fusion becomes the core and fundamental property of the metaverse. As an important part of social operationalization, the education domain leads to the birth of the education metaverse. This article answers three basic questions about smart services in the education metaverse: 1) learning scene; 2) technical framework; and 3) initial expansion. Specifically, four key elements constitute the learning scene in the education metaverse: 1) the learner; 2) its time; 3) space; and 4) learning event. In this learning scene, we propose a novel data-knowledge-driven group intelligence framework, aiming to transform data in the education metaverse into knowledge, and intersect and integrate intelligence with knowledge; based on this framework, we apply it to specific services, i.e., transaction and management services. We hope that our work opens the door to research on smart services in the education metaverse and more scholars will work for these challenges.

【Keywords】Education; Artificial intelligence; Artificial intelligence (AI); data; education metaverse; fusion; knowledge

【发表时间】

【收录时间】2023-01-17

【文献类型】理论模型

【主题类别】

区块链应用-虚拟经济-元宇宙