Title: A network teaching model of college English viewing, listening and speaking from the perspective of mobile technology

Authors: Siyi Chen; Xinli Ke; Xiaohong Zhang

Addresses: Department of Foreign Languages, Southwest Jiaotong University Hope College, Jintang, 610400, China ' Department of Foreign Languages, Southwest Jiaotong University Hope College, Jintang, 610400, China ' School of Foreign Languages and Cultures, Panzhihua University, Panzhihua, 617000, China

Abstract: The development of technology has provided more possibilities for educational models. To address the problem that students' learning cannot be fully taken into account in traditional classrooms, the study designs an English audio-visual network teaching model based on modern mobile technology. The algorithmic model is based on the adaptive mutation genetic model-back propagation neural network (AGA-BP) to intelligently estimate the English teaching quality. The model was then validated by means of experiments. It can be showed from this that the mean square error value of the model was 3.4994e*10-12 and the fitness value was 1.25. Compared with the traditional neural network model, the accuracy of the improved model is increased by 16.31% and 6.62% respectively. The experiments show that the designed models have excellent evaluation performance and can be practically applied in specific teaching.

Keywords: mobile technology; web-based teaching; quality evaluation; adaptive mutation genetic model-back propagation; AGA-BP neural network.

DOI: 10.1504/IJCSYSE.2024.142762

International Journal of Computational Systems Engineering, 2024 Vol.8 No.3/4, pp.160 - 169

Received: 17 Apr 2023
Accepted: 11 Jun 2023
Published online: 21 Nov 2024 *

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