Title: Information integration method of English teaching resources based on artificial intelligence

Authors: Jin Guo

Addresses: Department of Public Courses, Xinxiang Vocational and Technical College, Xinxiang, Henan 453000, China

Abstract: In this paper, an information integration method of English teaching resources based on artificial intelligence is proposed. The generalised fuzzy C-means clustering algorithm was used to construct the Arduino device image dataset, and the convolutional neural network model of Arduino device was designed. The image data input model in TFRecord format was designed, and multiple Arduino device resource feature maps were output through convolution, pooling and other operations to establish the English teaching resource library and complete the information integration of English teaching resources. The experimental results show that this method has fast convergence speed, with a recognition success rate of 96.7% and can improve the academic performance to more than 90 points, and the actual evaluation value of it in the 5th and 6th academic year is close to 1. Therefore, it can improve the information integration efficiency of English teaching resources and English performance.

Keywords: artificial intelligence; English teaching; resource information integration; Arduino device; convolution neural network; clustering algorithm.

DOI: 10.1504/IJICT.2024.139832

International Journal of Information and Communication Technology, 2024 Vol.25 No.1, pp.74 - 87

Received: 07 Mar 2022
Accepted: 12 May 2022
Published online: 08 Jul 2024 *

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