This research explores the integration of chatbot technology powered by GPT-3.5 and GPT-4 Turbo into higher education to enhance internationalization and leverage digital transformation. It delves into the design, implementation, and application of Large Language Models (LLMs) for improving student engagement, information access, and support. Utilizing technologies like Python 3, GPT API, LangChain, and Chroma Vector Store, the research emphasizes creating a high-quality, timely, and relevant transcript dataset for chatbot testing. Findings indicate the chatbot's efficacy in providing comprehensive responses, its preference over traditional methods by users, and a low error rate. Highlighting the chatbot's real-time engagement, memory capabilities, and critical data access, the study demonstrates its potential to elevate accessibility, efficiency, and satisfaction. Concluding, the research suggests the chatbot significantly aids higher education internationalization, proposing further investigation into digital technology's role in educational enhancement and strategy development.

翻译：本研究探索了由GPT-3.5和GPT-4 Turbo驱动的聊天机器人技术融入高等教育的路径，旨在推动国际化进程并充分利用数字化转型。研究深入探讨了大语言模型（LLMs）在提升学生参与度、信息获取与支持服务方面的设计、实现及应用。通过采用Python 3、GPT API、LangChain及Chroma向量存储等技术，本研究着重构建高质量、及时且相关性强的转录数据集用于聊天机器人测试。研究结果表明，该聊天机器人在提供全面回答方面效果显著，用户更倾向于选择该工具而非传统方法，且错误率较低。研究重点展示了聊天机器人的实时交互能力、记忆功能及关键数据访问特性，证实其在提升可及性、效率及用户满意度方面的潜力。最终，本研究表明该聊天机器人能显著助力高等教育国际化，并建议进一步探索数字技术在教育优化与战略制定中的作用。