用生成式AI打造可定制的沉浸式学习助手，让每个学生都有专属导师。
Open TutorAI: An Open-source Platform for Personalized and Immersive Learning with Generative AI
- 基于大模型和3D虚拟形象，实现多模态个性化辅导
- 通过初始配置捕捉学习目标，生成专属AI助教
- 适合教育科技开发者与关注自适应学习的教师
生成式人工智能的发展为教育提供了更可扩展、自适应和以学习者为中心的新可能。然而，现有教育聊天机器人常缺乏情境适应性、实时响应能力和教学灵活性，限制了学习参与度和教学效果。因此，亟需一个开放、集成的平台，融合AI与沉浸式技术，支持个性化的深度学习体验。本文提出Open TutorAI，一个基于大语言模型（LLMs）和生成技术的开源教育平台，提供动态个性化辅导。系统结合自然语言处理与可定制3D虚拟形象，实现多模态互动。通过结构化引导流程，捕获学习者的目标与偏好，配置专属AI助教。该助教可通过文本和虚拟形象两种界面访问。平台包含内容组织工具、嵌入式反馈机制及面向学习者、教师、家长的专用界面。本工作聚焦于学习者端功能，提供无需技术背景即可使用的自适应支持工具。其助教生成流程与虚拟形象集成提升了参与度与情感亲密度，营造更人性化、沉浸式的学习环境。嵌入式学习分析追踪参与模式并生成可操作反馈，支持自我调节学习。最终成果是集模块化架构、生成式AI与学习分析于一体的开源框架，推动下一代智能辅导系统的发展。
原文摘要 · Abstract (English)
Recent advances in artificial intelligence have created new possibilities for making education more scalable, adaptive, and learner-centered. However, existing educational chatbot systems often lack contextual adaptability, real-time responsiveness, and pedagogical agility. which can limit learner engagement and diminish instructional effectiveness. Thus, there is a growing need for open, integrative platforms that combine AI and immersive technologies to support personalized, meaningful learning experiences. This paper presents Open TutorAI, an open-source educational platform based on LLMs and generative technologies that provides dynamic, personalized tutoring. The system integrates natural language processing with customizable 3D avatars to enable multimodal learner interaction. Through a structured onboarding process, it captures each learner's goals and preferences in order to configure a learner-specific AI assistant. This assistant is accessible via both text-based and avatar-driven interfaces. The platform includes tools for organizing content, providing embedded feedback, and offering dedicated interfaces for learners, educators, and parents. This work focuses on learner-facing components, delivering a tool for adaptive support that responds to individual learner profiles without requiring technical expertise. Its assistant-generation pipeline and avatar integration enhance engagement and emotional presence, creating a more humanized, immersive learning environment. Embedded learning analytics support self-regulated learning by tracking engagement patterns and generating actionable feedback. The result is Open TutorAI, which unites modular architecture, generative AI, and learner analytics within an open-source framework. It contributes to the development of next-generation intelligent tutoring systems.
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