The Frontiers of Society, Science and Technology, 2026, 8(2); doi: 10.25236/FSST.2026.080203.
Xiaoling Yu1, Xin Liu2
1School of Foreign Languages, Dalian Polytechnic University, Dalian, China
2Sony Global Information System (China) Co., Ltd, Dalian, China
This paper focuses on foreign language learning scenarios and constructs an integrated AI-driven diagnostic and intervention mechanism. By establishing a multi-dimensional diagnostic indicator system and integrating technologies such as Natural Language Processing, speech recognition, and machine learning, a complete diagnostic process from data collection to competency profile generation is realized. On this basis, a library of personalized intervention strategies and recommendation algorithms are designed, and a dynamic adjustment mechanism is constructed to form a closed loop of "diagnosis-intervention-evaluation". This mechanism aims to break through the limitations of traditional diagnosis, such as poor timeliness and insufficient personalization, to achieve accurate diagnosis and personalized intervention in foreign language learning, thereby improving learning efficiency and learning experience. This research provides a theoretical framework and practical path for the development of intelligent foreign language learning systems, and has positive significance for promoting the in-depth integration of Artificial Intelligence and foreign language education.
Artificial Intelligence; Foreign Language Learning; Diagnostic Mechanism; Intervention Mechanism; Challenges and Countermeasures
Xiaoling Yu, Xin Liu. AI-Driven Diagnostic and Intervention Mechanism for Foreign Language Learning. The Frontiers of Society, Science and Technology (2026), Vol. 8, Issue 2: 18-23. https://doi.org/10.25236/FSST.2026.080203.
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