Language, Technology, and Social Media
Vol. 3 No. 1 (2025): June 2025 | Language, Technology, and Social Media

The Impact of AI-Driven Tools on Foreign Students’ Chinese Language Acquisition: A Case Study at Southwest University

Arif, Muhammad (Unknown)
Ismail, Aneta (Unknown)
Aqib, Muhammad (Unknown)
Rhaman Shaoan, Mirajur (Unknown)
Ali, Wazir (Unknown)
Uzochukwu Okafor, Miracle (Unknown)



Article Info

Publish Date
05 Apr 2025

Abstract

This study explores the use of AI-powered tools such as language learning applications, chatbots, adaptive learning systems, and speech recognition software in the context of Chinese language acquisition by international students. Using a qualitative phenomenological approach, the study investigates how fifteen international students at Southwest University engaged with these tools, the challenges they encountered, and how such technologies shaped their linguistic development and cultural integration. Data were gathered through semi-structured interviews, focus group discussions, and reflective journals, and were analyzed thematically. The findings indicate that 80% of participants reported improved speaking confidence, 75% experienced enhanced listening comprehension, and 85% found chatbot-based interactions engaging. However, 65% of students noted insufficient cultural immersion and contextual learning in AI tools. Based on these insights, the study recommends integrating culturally immersive features such as virtual simulations and role-play into AI systems. It concludes that while AI tools can personalize and accelerate language acquisition, their impact can be maximized when aligned with cultural learning, supporting not only proficiency but also meaningful intercultural communication.

Copyrights © 2025






Journal Info

Abbrev

ltsmjournal

Publisher

Subject

Humanities Education Languange, Linguistic, Communication & Media Social Sciences

Description

Language Technology and Social Media is a peer-reviewed journal dedicated to the publication of high-quality research findings in the field of language technology and social media without implicit limitations. All publications in Language Technology and Social Media are freely accessible enabling ...