Title: Educational countermeasures of different learners in virtual learning community based on artificial intelligence

Authors: Xiangning Deng

Addresses: Wuxi Vocational College of Science and Technology, Wuxi Jiang Su, 214028, China

Abstract: In order to reduce the challenges encountered by learners and educators in engaging in educational activities, this paper classifies learners' roles in virtual learning communities, and explores the role of behaviour characteristics and their positions in collaborative knowledge construction networks in promoting the process of knowledge construction. This study begins with an analysis of the relationship structure among learners in the virtual learning community and then applies the FCM algorithm to arrange learners into various dimensional combinations and create distinct learning communities. The test results demonstrate that the FCM method performs consistently during the clustering process, with less performance oscillations, and good node aggregation, the ARI value of the model is up to 0.90. It is found that they play an important role in the social interaction of learners' virtual learning community, which plays a certain role in promoting the development of artificial intelligence.

Keywords: big data; FCM algorithm; social relations; virtual learning community; VLC.

DOI: 10.1504/IJDMB.2024.139462

International Journal of Data Mining and Bioinformatics, 2024 Vol.28 No.3/4, pp.352 - 364

Received: 09 May 2023
Accepted: 26 Oct 2023
Published online: 02 Jul 2024 *

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