大语言模型在教育信息化中的实践：规范、框架与应用

徐刚; 刘志鹏; 冯骐; 沈富可

doi:10.11959/j.issn.1000-436x.2024249

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大语言模型在教育信息化中的实践：规范、框架与应用

人工智能应用 | 更新时间：2024-12-31

- 大语言模型在教育信息化中的实践：规范、框架与应用
- Practical application of large language models in educational informatics: specification, framework, and applications
- 通信学报 2024年45卷第Z2期页码：229-241
- 作者机构：
  
  1.华东师范大学软件工程学院，上海 200062
  2.华东师范大学信息化治理办公室，上海 200062
  3.华东师范大学计算机科学与技术学院，上海 200062
- 作者简介：
  
  [ "徐刚（1983- ），男，江苏常熟人，华东师范大学工程师，主要研究方向智能系统、软件工程等。" ]
  [ "刘志鹏（1980- ），男，山东文登人，华东师范大学助理研究员，主要研究方向为信息化理论与方法、教育数据共享与可视化、数据安全等。" ]
  [ "冯骐（1989- ），男，上海人，华东师范大学高级工程师，主要研究方向为教育数据治理、教育联邦认证、人工智能等。" ]
  [ "沈富可（1967- ），男，山东莱西人，博士，华东师范大学教授级高级工程师，主要研究方向为教育信息化治理、智能网络等。" ]
- 基金信息：
  
  中国高等教育学会高等教育科学研究规划课题基金资助项目(20XX0301)
- DOI：10.11959/j.issn.1000-436x.2024249
  中图分类号： TP18
- 收稿日期：2024-10-21，
  
  纸质出版日期：2024-11-30
- 稿件说明：
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徐刚,刘志鹏,冯骐等.大语言模型在教育信息化中的实践：规范、框架与应用[J].通信学报,2024,45(Z2):229-241.

XU Gang,LIU Zhipeng,FENG Qi,et al.Practical application of large language models in educational informatics: specification, framework, and applications[J].Journal on Communications,2024,45(Z2):229-241.
徐刚,刘志鹏,冯骐等.大语言模型在教育信息化中的实践：规范、框架与应用[J].通信学报,2024,45(Z2):229-241. DOI： 10.11959/j.issn.1000-436x.2024249.

XU Gang,LIU Zhipeng,FENG Qi,et al.Practical application of large language models in educational informatics: specification, framework, and applications[J].Journal on Communications,2024,45(Z2):229-241. DOI： 10.11959/j.issn.1000-436x.2024249.

摘要

为了解决大语言模型在高等教育领域落地中方案复杂、模型深度绑定、可复用性差等问题，提出了一套大语言模型在教育信息化中的应用规范，从通用对话、检索增强和智能体3个角度给出了API的规范设计，并在此基础上给出了一套技术框架。结合华东师范大学的3个具体案例展示了大语言模型如何深度融入校园生活，提升教学质量和学习体验。研究结果表明，基于规范性框架的应用开发具备良好的交互性和扩展性，底层能力高效复用有效提升了应用的开发效率。最后，总结了大语言模型在华东师范大学的应用情况，并对未来发展趋势进行了展望，强调了与教育场景融合的重要性，为推动人工智能技术在教育领域的广泛应用提供了参考依据。

Abstract

To address the issues of complex implementation

deep model coupling

and poor reusability in deploying large language models (LLMs) in higher education

a set of application standards for LLMs in educational informatics was proposed. The standards covered API interface designs from three perspectives: general conversation

retrieval enhancement

and intelligent agents. Based on these standards

a technical implementation framework was provided. The paper demonstrated how large language models could be deeply integrated into campus life to improve teaching quality and learning experiences through three specific cases at East China Normal University (ECNU). The results show that applications developed based on a standardized framework possess good interactivity and extensibility

and the efficient reuse of underlying capabilities significantly improves development efficiency. Finally

the paper summarized the application scenarios of LLMs at ECNU and looked forward to future trends

emphasizing the importance of integrating with educational contexts. This provided a reference for promoting the widespread application of artificial intelligence technology in the field of education.

关键词

Keywords

references

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