Title: Analysis of the effect of the situational teaching model based on big data on the improvement of English translation ability of modern college students

Authors: Shanshan Guan; Xiaocai Mu

Addresses: School of Foreign Studies, Henan Agricultural University, Zhengzhou, Henan 450000, China ' 2H3C Group, Beijing 100085, China

Abstract: In order to promote the improvement of English translation ability of modern college students, this paper combines big data technology to explore the effect of situational teaching mode on the improvement of English translation ability of modern college students. By using problem analysis methods to study the problems existing in intelligent translation systems for college English, a reliable solution is proposed based on the theory of acoustic wave cancellation and adaptive filtering related to active noise control. On the basis of algorithm optimisation, an intelligent scenario translation system that can improve the ability of modern college English translation is proposed. This article combines intelligent models to study the application significance of situational design in English teaching in universities. In the future, incorporating information technology elements into the classroom and guiding students to conduct independent explorations experimental improve classroom can efficiency, cultivate innovative thinking, and enhance scientific literacy.

Keywords: big data; situational teaching mode; English; translation ability.

DOI: 10.1504/IJES.2024.143751

International Journal of Embedded Systems, 2024 Vol.17 No.1/2, pp.113 - 125

Received: 25 Dec 2023
Accepted: 05 Aug 2024
Published online: 06 Jan 2025 *

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