Paper Information

Title: Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems

Paper: https://arxiv.org/pdf/2501.10332

Authors:

• Weibo Gao (The First Author)

  • Homepage: http://home.ustc.edu.cn/~weibogao
  • Email: weibogao@mail.ustc.edu.cn
  • X: @webbobpaco
  • WeChat: gaoweibo1997
  • Weibo Gao is currently on the job market in the research area of LLM-based Agent and User Modeling. Please contact him if you are interested.

• Qi Liu (Corresponding Author)

  • Homepage: http://staff.ustc.edu.cn/~qiliuql/
  • Email: qiliuql@ustc.edu.cn

Presentation @AAAI-2025

Thanks to Guanhao Zhao for giving the live presentation on my behalf at AAAI. Feel free to interact with him on-site or email the first author (Weibo Gao) at weibogao@mail.ustc.edu.cn.

Our presentation information is as follows:

• Session: Applications 5
• LOCATION: 115 A
• Time: Friday February 28, 11:15am-12:30pm
• Paper ID: 1539
• Paper Title: Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Svstems

Poster

Download Poster PDF

Application Website

We have developed a website for interactive learner practice simulation, integrated with Agent4Edu.

The website is currently in internal testing and will be launched soon. The full code and data will be released on the website.

Please follow our GitHub project for updates~

BibTxt

@article{gao2025agent4edu,
  title={Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems},
  author={Gao, Weibo and Liu, Qi and Yue, Linan and Yao, Fangzhou and Lv, Rui and Zhang, Zheng and Wang, Hao and Huang, Zhenya},
  journal={arXiv preprint arXiv:2501.10332},
  year={2025}
}