从慕课到MAIC：通过大语言模型驱动的智能体重塑在线教与学

摘要

自在线教育初现端倪，课程被上传至可访问的共享网络平台以来，这种扩展人类知识传播以触及更广泛受众的方式便引发了广泛讨论与普遍采用。认识到个性化学习仍具巨大提升空间，新的人工智能技术不断融入这一学习模式，催生了诸如教育推荐与智能辅导等多种教育AI应用。大型语言模型（LLM）智能的涌现，使得这些教育增强功能得以构建在统一的基础模型之上，实现更深层次的整合。在此背景下，我们提出MAIC（大规模AI赋能课程），一种利用LLM驱动的多智能体系统构建AI增强课堂的新型在线教育形式，在可扩展性与适应性之间寻求平衡。除了探讨概念框架与技术革新外，我们还在中国顶尖学府清华大学进行了初步实验。基于超过500名学生的10万余条学习记录，我们获得了一系列有价值的观察与初步分析。该项目将持续演进，最终目标是建立一个全面的开放平台，支持并统一研究、技术与应用，探索大模型AI时代在线教育的可能性。我们设想该平台作为一个协作中心，汇聚教育工作者、研究人员与创新者，共同探索AI驱动在线教育的未来。

English

Since the first instances of online education, where courses were uploaded to accessible and shared online platforms, this form of scaling the dissemination of human knowledge to reach a broader audience has sparked extensive discussion and widespread adoption. Recognizing that personalized learning still holds significant potential for improvement, new AI technologies have been continuously integrated into this learning format, resulting in a variety of educational AI applications such as educational recommendation and intelligent tutoring. The emergence of intelligence in large language models (LLMs) has allowed for these educational enhancements to be built upon a unified foundational model, enabling deeper integration. In this context, we propose MAIC (Massive AI-empowered Course), a new form of online education that leverages LLM-driven multi-agent systems to construct an AI-augmented classroom, balancing scalability with adaptivity. Beyond exploring the conceptual framework and technical innovations, we conduct preliminary experiments at Tsinghua University, one of China's leading universities. Drawing from over 100,000 learning records of more than 500 students, we obtain a series of valuable observations and initial analyses. This project will continue to evolve, ultimately aiming to establish a comprehensive open platform that supports and unifies research, technology, and applications in exploring the possibilities of online education in the era of large model AI. We envision this platform as a collaborative hub, bringing together educators, researchers, and innovators to collectively explore the future of AI-driven online education.

从慕课到MAIC：通过大语言模型驱动的智能体重塑在线教与学

From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents

摘要

Support