LPITutor:一个基于LLM的个性化智能辅导系统,使用RAG和提示工程.
Zhensheng Liu1, Prateek Agrawal2,3,4, Saurabh Singhal5
1School of Educational Sciences, Bohai University, Jinzhou, Liaoning, China.
PeerJ. Computer science
|September 24, 2025
概括
这项研究介绍了LPITutor,这是一种使用大型语言模型 (LLM) 和检索增强生成 (RAG) 的人工智能智能辅导系统. LPITutor通过适应内容难度,为各种学习者提供准确,清晰的答案,提供个性化的教育.
科学领域:
- 教育中的人工智能
- 个性化学习技术 个性化学习技术
- 自然语言处理自然语言处理.
背景情况:
- 大型语言模型 (LLM) 正在彻底改变个性化教育.
- 智能辅导系统 (ITS) 需要适应各种学习需求的适应性反应.
- 现有的系统往往缺乏针对不同技能水平和问题的复杂性量身定制的内容.
研究的目的:
- 提出LPITutor,一个基于LLM的个性化智能辅导系统.
- 利用提取增强生成 (RAG) 和快速工程来定制教育内容.
- 调整学习材料以适应学生的技能水平和查询复杂度.
主要方法:
- 开发了LPITutor模型,将LLMs与RAG整合在一起.
- 利用先进的提示性工程技术来产生响应.
- 基于准确性,完整性,清晰性,难度对齐性,连贯性和相关性来评估业绩.
主要成果:
- LPITutor证明了有效平衡响应的准确性和清晰度.
- 该系统显示了与学生查询难度水平的显著对齐.
- 该模型成功地为各种学习者生成定制的学习内容.
结论:
- 像LPITutor一样,LLM驱动的ITS具有改变教育的巨大潜力.
- 拟议的系统提供了一个可行的方法,以规模化个性化学习.
- 未来的工作应该专注于进一步适应和优化人工智能驱动的ITS.
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