About Me

I will graduate with a Ph.D. from the College of Computer Science and Technology, East China Normal University (ECNU) in Shanghai, China, specializing in Intelligent Education. My supervisor is Professor Bo Jiang. To date, I have published 15+ academic papers . I serve as a reviewer for the journals Education and Information Technologies, Information Processing and Management, Applied Intelligence, and conferences including NeurIPS, AAAI, KDD, ICASSP, AIED, and EDM. If you are interested in my research, please feel free to contact me! Let’s collaborate and publish papers together!

My research areas include:

• AI for Education
• Causal Models
• Knowledge Tracing
• Cognitive Diagnosis
• Large Language Models

🎓 Education

• 2024.09 - now, National University of Singapore (NUS), School of Computing, Singapore, Ph.D. Candidate
• 2022.06 - now, East China Normal University (ECNU), College of Computer Science and Technology, Shanghai, Ph.D. Candidate
• 2015.09 - 2022.06, North China University of Technology (NCUT), School of Electrical and Control Engineering, Beijing, B.Eng. & M.Eng.

📝 Journal Papers

En

IEEE TLT 2024

• Yuang Wei, Bo Jiang. Interpretable Cognitive State Prediction via Temporal Fuzzy Cognitive Map. IEEE Transactions on Learning Technologies, 2024. [Web] [PDF]

IP&M 2024

• Bo Jiang; Yuang Wei(Corr. Author); Ting Zhang; Wei Zhang. Improving the performance and explainability of knowledge tracing via Markov blanket. Information Processing & Management, 2024. [Web] [PDF]

• 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. [Web] [PDF]

• 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. [Web] [PDF]

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

• TianYi Liu; Yuan-Hao Jiang; Yuang Wei(Co-Author); 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. [Web] [PDF]

CN

• 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. [Web] [PDF]
• 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.
  [Web] [PDF]
• 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.
  [Web] [PDF]

Patent

• A structured competency model construction method for learning analytics and assessment. CN112926901B. 2023.
• A Bayes competency evaluation algorithm considering item difficulty attributes. CN114065833A. 2022.
• A structured competency model construction method for learning analytics and assessment. CN112926901A. 2021.
• A hierarchical evaluation method and device based on the one-parameter item response theory model. CN112862368A. 2021.

Book

• Yuang Wei. Gobal Artificial Intelligent Education Support Environment White Paper for K-12. Beijing Normal University (BNU). 2021.
• 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.

🏅 Awards

• 2024 “Chuang Qingchun” China Youth Innovation and Entrepreneurship Competition (Technological Innovation) National Bronze Award
• 2023 “Chuang Qingchun” China Youth Innovation and Entrepreneurship Competition (Technological Innovation) Excellence Award
• 2023 “Chuang Qingchun” China Youth Innovation and Entrepreneurship Competition (Digital Economy) National Bronze Award
• 2019 China Intelligent Robot Competition - Deep Learning Intelligent Vehicle Project National First Prize
• 2019 China Intelligent Robot Competition - Autonomous Driving Intelligent Vehicle Project National First Prize
• 2018 National Inspirational Scholarship
• 2017 Siemens Industrial Intelligence Challenge (Industrial Internet) National First Prize

🏛️ Conference Papers

COLING 2025

• 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. [Web] [PDF]

• 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. [PDF]
• 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.
• 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. [PDF]

💻 Work Experience

• 2023 The 27th Global Chinese Conference on Computers in Education (GCCCE 2023), Beijing, Program Committee Member
• 2023.12 - 2024.05, Nova Science Publishers, New York, US, Invited Editor
• 2021.06 - 2021.12, National Engineering Laboratory for Intelligent Technology and Applications of Internet Education, Beijing, Research Assistant