LangLingual: A Personalised, Exercise-oriented English Language Learning Tool Leveraging Large Language Models
This is an incremental tool for English language learners to receive personalised grammar feedback and exercises.
The authors tackled the problem of limited feedback and practice in language learning by developing LangLingual, a conversational agent using Large Language Models, which showed strong usability, positive learning outcomes, and encouraging learner engagement.
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.