Title: Cloud computing-based method for optimal allocation of college network course education resources

Authors: Haihua Huang; Xinbin Yang

Addresses: Yichun Early Childhood Teachers College, Yichun, 336000, China ' Yichun Early Childhood Teachers College, Yichun, 336000, China

Abstract: To improve the classification accuracy of online course education resources and reduce the time consumption in the process of optimal allocation of resources, this paper proposes a method of optimal allocation of online course education resources in colleges and universities based on cloud computing. The cloud platform for the allocation of college online course education resources is built, and the data of college online course education resources are obtained by LDA topic function. The adaptation decision of college online course education resources is designed, and the optimal allocation of college online course education resources is realised according to the cloud computing method. The experimental results show that the proposed method takes less than 3.9 s to optimise the allocation of 1,200 G online course education resources, the classification accuracy can reach 99.0%, and the allocation efficiency is effectively improved, indicating that the application effect of this method is good.

Keywords: Shannon formula; cloud computing; LDA topic function; allocation of educational resources; adaptation decisions.

DOI: 10.1504/IJCEELL.2024.140722

International Journal of Continuing Engineering Education and Life-Long Learning, 2024 Vol.34 No.5, pp.501 - 515

Received: 26 Aug 2022
Accepted: 04 Nov 2022
Published online: 02 Sep 2024 *

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