LangLingual: A Personalised, Exercise-oriented English Language Learning Tool Leveraging Large Language Models
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Abstract (arXiv)
Language educators strive to create a rich experience for learners, while they may be restricted in the extend of feedback and practice they can provide. We present the design and development of LangLingual, a conversational agent built using the LangChain framework and powered by Large Language Models. The system is specifically designed to provide real-time, grammar-focused feedback, generate context-aware language exercises and track learner proficiency over time. The paper discusses the architecture, implementation and evaluation of LangLingual in detail. The results indicate strong usability, positive learning outcomes and encouraging learner engagement.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 10 of its 36 references that are in the map. First posted on arXiv 27 Oct 2025.
Builds on
10 of 36 references.
References · 10
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- 2023The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialoguescited by 27
- 2023Adaptive and Personalized Exercise Generation for Online Language Learningcited by 19
- 2024Large Language Model Augmented Exercise Retrieval for Personalized Language Learningcited by 4
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Citing papers per year: 2026: 1.
1 paper.