A Multi-agent Open Learning Platform for LLM Era's Online Education
中文 | English
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MAIC (Massive AI-empowered Courses) aims to create a highly immersive and configurable AI-powered learning classroom, built on large language models and incorporating multiple intelligent agents such as teachers, teaching assistants, and peers. This system is designed to assist students throughout the entire learning process, support teachers in intelligent lesson preparation, and enable high-level personalized learning for students, ultimately realizing an "autonomous classroom" experience where each student has their own tailored learning journey.
Conceptual Design: This project’s conceptual design encompasses both technological and educational philosophies:
For more Info about our latest research and team members, welcome to visit our project page: https://project.maic.chat/
A Brief Demo Video for MAIC: Watch the video
Demo Video for Academic Consultant: Watch the video
As generate contents by learning a large amount of multimodal corpora, but they cannot comprehend, express personal opinions or make value judgement. Anything generated by MAIC agents does not represent the views and positions of the model developers
We will not be liable for any problems arising from the use of MAIC platform, including but not limited to data security issues, risk of public opinion, or any risks and problems arising from the misdirection, misuse, dissemination or misuse of the model.
👏 Welcome to explore key techniques of MAIC and other AI4Edu projects of our team:
MOOCCube | MOOC-Radar | XDAI
If you find our model/code/paper helpful, please consider cite our papers 📝 and star us ⭐️!
@article{yu2024mooc, title={From mooc to maic: Reshaping online teaching and learning through llm-driven agents}, author={Yu, Jifan and Zhang, Zheyuan and Zhang-li, Daniel and Tu, Shangqing and Hao, Zhanxin and Li, Rui Miao and Li, Haoxuan and Wang, Yuanchun and Li, Hanming and Gong, Linlu and others}, journal={arXiv preprint arXiv:2409.03512}, year={2024} }
Our Teacher-side Paper:
@article{zhang2024awaking, title={Awaking the Slides: A Tuning-free and Knowledge-regulated AI Tutoring System via Language Model Coordination}, author={Zhang-Li, Daniel and Zhang, Zheyuan and Yu, Jifan and Yin, Joy Lim Jia and Tu, Shangqing and Gong, Linlu and Wang, Haohua and Liu, Zhiyuan and Liu, Huiqin and Hou, Lei and others}, journal={arXiv preprint arXiv:2409.07372}, year={2024} }
Our Student-side Paper:
@article{zhang2024simulating, title={Simulating classroom education with llm-empowered agents}, author={Zhang, Zheyuan and Zhang-Li, Daniel and Yu, Jifan and Gong, Linlu and Zhou, Jinchang and Liu, Zhiyuan and Hou, Lei and Li, Juanzi}, journal={arXiv preprint arXiv:2406.19226}, year={2024} }