With the rapid evolution of Natural Language Processing (NLP), Large Language Models (LLMs) like ChatGPT have emerged as powerful tools capable of transforming various sectors. Their vast knowledge base and dynamic interaction capabilities represent significant potential in improving education by operating as a personalized assistant. However, the possibility of generating incorrect, biased, or unhelpful answers are a key challenge to resolve when deploying LLMs in an education context. This work introduces an innovative architecture that combines the strengths of ChatGPT with a traditional information retrieval based chatbot framework to offer enhanced student support in higher education. Our empirical evaluations underscore the high promise of this approach.

翻译：随着自然语言处理（NLP）的快速发展，以ChatGPT为代表的大语言模型（LLMs）已成为能够变革多个领域的强大工具。其庞大的知识库和动态交互能力在作为个性化助教提升教育质量方面展现出显著潜力。然而，在教育场景中部署LLMs时，生成错误、偏见或无益回答的可能性仍是亟待解决的关键挑战。本文提出一种创新架构，将ChatGPT的优势与传统基于信息检索的聊天机器人框架相结合，为高等教育学生提供增强型支持服务。我们的实证评估表明，该方法具有高度应用前景。