🔍 AI FOR EDUCATION!

我将博士毕业于中国上海的华东师范大学计算机科学与技术学院智能教育专业,我的导师是江波教授。目前我正在进行一些非常有趣且有意义的智能教育研究,目前已发表 15+ 篇学术论文(包含合作) 。担任期刊Education and information technologies,Information processing and management,Applied intelligence,会议NeurIPS,AAAI,KDD,ICASSP,AIED,EDM审稿人。如果您对我的研究有兴趣,请随时联系我!我们一起搞研究、发Paper!

我的研究领域包括: 智能教育、因果模型、知识追踪、认知诊断、大语言模型

🎓 教育经历

  • 2024.09 - 今, 新加坡国立大学,计算学院(人机交互),新加坡,CSC博士
  • 2022.06 - 今, 华东师范大学,计算机科学与技术学院(智能教育),上海,博士
  • 2015.09 - 2022.06, 北方工业大学,电气与控制工程学院(自动化、控制科学与工程),北京,本硕

📝 期刊论文

英文


IEEE TLT 2024
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  • Yuang Wei, Bo Jiang. Interpretable Cognitive State Prediction via Temporal Fuzzy Cognitive Map. IEEE Transactions on Learning Technologies, 2024. [网页] [下载]
IP&M 2024
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  • Bo Jiang; Yuang Wei(Corr. Author). Improving the performance and explainability of knowledge tracing via Markov blanket. Information Processing & Management, 2024. [网页] [下载]
  • Changyong Qi, Longwei Zheng, Yuang Wei, Haoxin Xu, Peiji Chen, Xiaoqing Gu. EduDCM: A Novel Framework for Automatic Educational Dialogue Classification Dataset Construction via Distant Supervision and Large Language Models. Applied Sciences. 2024. [网页] [下载]

  • Jiayi Liu (刘嘉怡); Bo Jiang (江波); Yu’ang Wei (魏雨昂). LLMs as Promising Personalized Teaching Assistants: How Do They Ease Teaching Work?. ECNU Review of Education. 2024. [网页] [下载]

  • Bo Jiang; Yuang Wei; Meijun Gu; Chengjiu Yin. Understanding students’ backtracking behaviors in digital textbooks: a data-driven perspective. Interactive Learning Environments. 2024. [网页] [下载]

  • TianYi Liu; Yuan-Hao Jiang; Yuang Wei(Co-first authors); Xun Wang; Shucheng Huang; Ling Dai. Educational Practices and Algorithmic Framework for Promoting Sustainable Development in Education by Identifying Real-World Learning Paths. Sustainability. 2024. [网页] [下载]

中文


  • 江波,章恒远,魏雨昂. 如何判定自适应学习系统的有效性——基于因果结构分析框架. 现代远程教育研究. 2023. [网页] [下载]
  • 江波,丁莹雯,魏雨昂. 可解释学习者模型:可信个性化学习的技术关键. 现代远程教育研究. 2023.
    [网页] [下载]
  • 江波,丁莹雯,魏雨昂. 教育数字化转型的核心技术引擎:可信教育人工智能. 华东师范大学学报(教育科学版). 2023.
    [网页] [下载]

专利


  • 一种面向学习分析与评测的结构化能力模型构建方法. CN112926901B. 2023.
  • 一种考虑试题难度属性的Bayes能力评价算法. CN114065833A. 2022.
  • 一种面向学习分析与评测的结构化能力模型构建方法, CN112926901A, 2021.
  • 一种基于单参数项目反应理论模型的分级评价方法及装置, CN112862368A, 2021.

  • Yuang Wei. Gobal Artificial Intelligent Education Support Environment White Paper for K-12. 北京师范大学智慧学习研究院. 2021. [下载]
  • Yuang Wei, Changyong Qi, Yuan-Hao Jiang, Ling Dai. Enhancing Educational Practices: Strategies for Assessing and Improving Learning Outcomes. Nova Science Publishers, New York, US. 2024. [下载]

🏅 荣誉奖项

  • 2024 “创青春”中国青年创新创业大赛(科技创新) 全国铜奖
  • 2023 “创青春”中国青年创新创业大赛(科技创新) 优秀奖
  • 2023 “创青春”中国青年创新创业大赛(数字经济) 全国铜奖
  • 2019 中国智能机器人大赛深度学习智能车项目 全国一等奖
  • 2019 中国智能机器人大赛无人驾驶智能车项目 全国一等奖
  • 2018 国家励志奖学金
  • 2017 西门子工业智能挑战赛(工业互联网) 全国一等奖

🏛️ 学术会议


COLING 2025
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  • Changyong Qi; Yuang Wei(Co-first authors). TMATH: A Dataset for Evaluating Large Language Models in Generating Educational Hints for Math Word Problems. In Proceedings of the 31st International Conference on Computational Linguistics, 2025. [网页] [下载]
  • Yuan-Hao Jiang, Ruijia Li, Yuang Wei, Rui Jia, Xiaobao Shao, Hanglei Hu, Bo Jiang. Synchronizing Verbal Responses and Board Writing for Multimodal Math Instruction with LLMs. The 4th Workshop on Mathematical Reasoning and AI at NeurIPS’24. 2024. [下载]
  • Wei Yuang,Yizhou Zhou,Yuan-Hao Jiang,Bo Jiang. Enhancing Explainability of Knowledge Learning Paths: Causal Knowledge Networks. The 17th International Conference on Educational Data Mining (EDM). 2024. [下载]
  • Wei Yuang,Xu Jining,Zhang Zehua,Li Zhijun. A Review of the Research on the Prediction of Learning Outcomes in the Field of Learning Analytics, The 5th International Conference on Education and Multimedia Technology (ICEMT), 2021. [下载]

💻 工作实习

  • 2023.12 - 2024.05, Nova Science Publish,NewYork, US,特邀编辑
  • 2021.06 - 2021.12, 互联网教育智能技术及应用国家工程实验室, 北京,研究助理