Design and Implementation of a Multimodal Intelligent Foreign Language Learning System Based on Large Language Models

HAN Xin-ying, WU Zhi-yuan, SHEN Jia-yong, WAN Yun-fei, WANG Xia

Computer & Telecommunication ›› 2025 ›› Issue (10) : 10-15.

Computer & Telecommunication ›› 2025 ›› Issue (10) : 10-15.

Design and Implementation of a Multimodal Intelligent Foreign Language Learning System Based on Large Language Models

  • HAN Xin-ying, WU Zhi-yuan, SHEN Jia-yong*, WAN Yun-fei, WANG Xia
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Abstract

Aiming at the problems of fixed modes, lack of context, and insufficient personalization in current foreign language learning software, this study designs and implements a multimodal intelligent learning system based on Large Language Models (LLMs). The platform constructs a comprehensive learning system through personalized learning planning, tri-modal memory, and AI context-generated targeted exercises, realizing the simultaneous improvement of vocabulary memorization and application abilities. Practical application results show that the system can dynamically generate highly adaptive learning content and exercises, and is equipped with functions such as error question management and data analysis. It can effectively enhance users' foreign language learning effects and truly provide a new intelligent method for foreign language learning.

Key words

Large Language Model / multimodality / intelligent learning / AI-Generated context

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HAN Xin-ying, WU Zhi-yuan, SHEN Jia-yong, WAN Yun-fei, WANG Xia. Design and Implementation of a Multimodal Intelligent Foreign Language Learning System Based on Large Language Models[J]. Computer & Telecommunication. 2025(10): 10-15

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Funding

大学生创新训练省级项目-LLM 助力外语个性化学习 App 的开发; 教育部产学合作协同育人项目“新形态混合式网络核心课程建设”,项目编号:220504309235939

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