Title: An online and offline hybrid teaching resource sharing method based on cloud computing

Authors: Huishuang Qi

Addresses: School of Humanities, Puyang Vocational and Technical College, Puyang, 457000, China

Abstract: In order to solve the problems of low resource request success rate, low data sharing ability and low sharing efficiency in existing resource sharing methods, this paper proposes an online and offline hybrid teaching resource sharing method based on cloud computing. First is to build a three-tier online and offline hybrid teaching resource sharing cloud platform, use Tucker decomposition algorithm to fuse the extracted features of teaching resources, and output them through the fuzzy neural network model. Then build a teaching resource sharing model based on layered agent technology to realise online and offline mixed teaching resource sharing. The comparative experiment verifies that the resource request success rate of the design method is always more than 80%, the maximum sharing of 98% of the total data can be achieved, and the sharing time is always less than 1 s, which proves that the design method in this paper has a high sharing efficiency.

Keywords: cloud computing; online and offline; mixed teaching; resource sharing; tucker decomposition algorithm; fuzzy neural network.

DOI: 10.1504/IJRIS.2024.139837

International Journal of Reasoning-based Intelligent Systems, 2024 Vol.16 No.3, pp.195 - 205

Received: 07 Dec 2022
Accepted: 14 Mar 2023
Published online: 08 Jul 2024 *

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