Title: Design of online monitoring method for English education resource allocation in the internet of things learning environment

Authors: Chunzi Zhang

Addresses: School of Foreign Languages, Jiujiang University, Jiujiang, Jiangxi, 332005, China

Abstract: Aiming at the problems of long response time and poor data de-noising effect in the traditional online monitoring method for resource allocation, this paper proposes an online monitoring method for English education resource allocation in the Internet of things learning environment. The denoising method based on wavelet time domain is used to denoise English education resources in the Internet of things learning environment. After denoising, English teaching resources are allocated by wavelet neural network. According to the time threshold, the time window used in the allocation of English teaching resources is determined. The simulation results show that the proposed method has the advantages of short response time, better data denoising effect, low monitoring error rate and reliability.

Keywords: internet of things learning environment; resource allocation of English education; online monitoring; wavelet time domain; time window.

DOI: 10.1504/IJAACS.2023.132515

International Journal of Autonomous and Adaptive Communications Systems, 2023 Vol.16 No.4, pp.342 - 356

Received: 29 May 2020
Accepted: 22 Oct 2020
Published online: 25 Jul 2023 *

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