Year: 2025
Type: article
Abstract: 随着全球化的发展，外语的学习成为各国交流与合作的重要手段，但传统的外语学习由于不能够得到相应的个性化指导且整体的效率较低。本系统采用LLM大型语言模型来辅助完成对外语学习者的系统教学，利用大模型智能体的工作流和RAG完成对外语用户的评测以及反馈，提升其学习的积极性和效率等目标。该系统实现了个性化、智能化的外语学习方式，为外语教育创新提供了技术支撑，助力教育公平与质量提升。With the development of globalization, the learning of foreign languages has become an important means of communication and cooperation among countries, but traditional foreign language learning does not receive appropriate personalized guidance and the overall efficiency is low. This system adopts the LLM large-scale language model to assist in the systematic teaching of foreign language learners, and makes use of the workflow and RAG of the large-scale model intelligences to complete the evaluation and feedback of foreign language users, and improve their motivation and efficiency of learning. The system realizes a personalized and intelligent way of foreign language learning, provides technical support for foreign language education innovation, and helps to improve the fairness and quality of education.
Author: 义嘉 陈
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4411709091