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.

翻译：人工智能的最新进展为教育实现更高可扩展性、适应性和以学习者为中心创造了新的可能性。然而，现有的教育聊天机器人系统往往缺乏情境适应性、实时响应能力和教学灵活性，这可能限制学习者的参与度并削弱教学效果。因此，对结合人工智能与沉浸式技术的开放集成平台的需求日益增长，以支持个性化、有意义的学习体验。本文提出Open TutorAI，一个基于大语言模型与生成技术的开源教育平台，提供动态的个性化辅导。该系统将自然语言处理与可定制的3D虚拟形象相结合，实现多模态学习者交互。通过结构化的入门流程，平台捕获每位学习者的目标与偏好，从而配置个性化的AI助手。该助手可通过文本界面与虚拟形象驱动界面进行访问。平台包含内容组织工具、嵌入式反馈机制，并为学习者、教育者和家长提供专用界面。本研究聚焦于面向学习者的功能组件，提供一种自适应支持工具，能够根据个体学习者特征进行响应，且无需技术专业知识。其助手生成流程与虚拟形象集成增强了参与度与情感临场感，创造了更具人性化、沉浸感的学习环境。嵌入式学习分析通过追踪参与模式并生成可操作的反馈，支持自我调节学习。最终形成的Open TutorAI在开源框架下融合了模块化架构、生成式人工智能与学习者分析，为新一代智能辅导系统的开发做出了贡献。