Title: Foreign language teaching methods based on cross-temporal and cross-cultural virtual simulation technology

Authors: Xingying Fan

Addresses: Xi'an FanYi University, Xi'an, China

Abstract: With the acceleration of China's opening-up to the outside world, the importance of foreign language teaching is becoming increasingly prominent. In response to the low efficiency and lack of opportunities for real-world practice in traditional foreign language teaching methods, a foreign language teaching model based on cross-temporal and cross-cultural virtual simulation technology is proposed. A new target recognition algorithm combining back propagation neural network and seagull optimisation algorithm is designed. The algorithm optimises the parameters of BP neural network by simulating the migration and predation behaviour of seagulls, and finally, a new cross-temporal and cross-cultural virtual simulation technology is constructed. The results showed that the system response time was only 250 ms, the resource consumption rate was 45% and the error processing time was 5 s. Experiments showed that volunteers using the designed system significantly improved their English scores, with an average score increasing from 68.3 to 80.2. The conclusion indicates that the proposed foreign language education model can effectively improve the quality of foreign language teaching, providing strong support for cultivating talents with cross-cultural competence and cultural confidence.

Keywords: virtual simulation; foreign language teaching; cross-cultural; cross-temporal; virtual reality.

DOI: 10.1504/IJWMC.2026.153168

International Journal of Wireless and Mobile Computing, 2026 Vol.30 No.3, pp.245 - 256

Received: 24 Oct 2024
Accepted: 25 Feb 2025
Published online: 25 Apr 2026 *

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