在教育部日前召开的"教育大会一年间·教改进行时"主题新闻发布会上，国家教育大数据中心与国家智 慧教育公共服务平台智能中台正式上线，实现了教育数据共享融通和国家平台智能升级，推动数字教育 基础服务能力迈向智能化新阶段。 当前，数字技术重塑了教育系统内生动力。人工智能从单一工具演进为驱动教学全过程的核心要素，已 深入至招生考试、教学评价、就业服务、校园治理等核心场景，为构建灵活、开放、个性化的未来教育 体系提供了关键支撑。 "这两个平台是深入实施教育数字化战略行动2.0，聚焦集成化、智能化、国际化'3I'战略方向取得的里 程碑成果。二者各有侧重、相互支撑，对加快推进教育强国建设具有非常重要的作用。"教育部科学技 术与信息化司司长周大旺说。 杨宗凯表示，随着国家教育大数据中心和国家平台智能中台上线，教育治理逐步实现对全域数据的动态 感知、精准分析和科学预警。这不仅大幅提升了管理效率和响应速度，更推动教育治理体系向精准化、 智能化、扁平化、协同化和现代化转型。"用数据说话、用数据决策"将成为教育治理的新范式。 未来，在数字化的全面加持下，我国教育将走向更加公平、更加高质量、更有活力、更可持续的新境 界，未来教师、未来 ...

导语 如果把 2020 年的学习机放到今天，大多数家长会惊讶于它的"原始"。那时的学习机仍停留在拍照搜题、模板讲解、工具化使用 的阶段；而今天，大模型驱动的学习系统已经能持续对话、深度推理、判断孩子的错误类型、记录学习轨迹，并在数百个知识 点之间规划路径。 五年时间，学习机行业硬生生跑完了教育科技本应十年才能完成的演化过程。但这条进化路径从未被完整讲述过。它不是市场 突然热起来，也不是某个厂商凭空造概念，而是由五次关键技术跃迁共同构成的系统性变革。 从检索式智能、知识图谱、智能辅学、大模型推理，到学习 OS 的形成，学习机这五年的演化史，更像是一条中国教育智能化 的"主干道"。如果要理解未来教育科技的方向，这条技术演进脉络不可能绕开。 01 第一代：查题时代的奇点时刻——OCR与题库构成学习机的"原始引擎" 但简单不代表价值有限。对于无数家庭来说，孩子一道题不会做、家长也讲不明白，是每天都会遇到的真实困境。在那个家庭 教育需要"大量人工成本"的时代，一台能准确讲题的设备几乎等同于"救命工具"。 然而这一代也有清晰的技术天花板：无法连续对话、无法根据不同学生生成不同解释、无法理解知识结构。它只会"给答案"， 不 ...

Core Insights - The 16th Xinhua Net Education Forum has evolved into a significant platform for dialogue and collaboration in the education sector, focusing on industry challenges and innovative solutions [2][3] - The forum aims to integrate various resources, including policy interpretation, industry practices, and academic research, to foster high-quality development in education [2][5] Group 1: Forum Structure and Themes - The forum will address key issues such as AI education safety, urban-rural education balance, and industry-education integration through multiple dialogue sessions [3][5] - It features a comprehensive structure including a main forum, a smart education exhibition, and case showcases to highlight educational innovation [4][6] Group 2: Smart Education Exhibition - The smart education exhibition will present a complete ecosystem covering solutions for smart campuses, educational models, and rural education achievements [6] - The exhibition aims to provide immersive experiences and facilitate market expansion for participating companies [6] Group 3: Case Studies and Practical Solutions - A nationwide initiative for collecting innovative education cases has been launched, focusing on various categories such as educational philanthropy and digital empowerment [7] - The forum seeks to deliver practical, replicable solutions to address real-world educational challenges across different educational levels [5][7] Group 4: Collaboration and Engagement - The forum invites educational institutions and technology companies to collaborate and share new development opportunities, offering various levels of partnership benefits [8] - The event emphasizes the importance of collective efforts in driving educational progress and innovation [8][9]

Core Insights - Generative AI is transforming educational software from a simple "Q&A" tool to a more integrated teaching companion that can plan, provide feedback, and organize learning experiences [1] - The emergence of educational agents signifies a shift from fragmented tools to a cohesive learning experience, enhancing the self-regulating capabilities of educational systems [1] Group 1: Evolution of Learning Agents - Learning agents are evolving from merely answering questions to becoming cognitive partners that engage in deeper learning processes [1][3] - VideoTutor exemplifies this evolution by generating short video explanations based on students' natural language questions, allowing for interactive and replayable learning experiences [2][3] - Khanmigo, another innovative tool, focuses on guiding students through Socratic questioning, emphasizing cognitive companionship rather than just providing answers [5] Group 2: Integration into Teaching Practices - AI tools for teachers are designed to seamlessly integrate into existing workflows, minimizing the need for additional training and enhancing efficiency [6] - Brisk Teaching integrates directly into Google Docs and Slides, allowing teachers to generate lesson plans and modify assignments without switching platforms, thus maintaining teaching continuity [8] - MagicSchool offers a modular design where teachers can customize AI components for various tasks, significantly reducing the barriers to AI adoption in educational settings [12] Group 3: Platform Integration and Ecosystem Development - The next step for educational agents involves platform-level integration, transitioning from isolated tools to a unified, scalable intelligent teaching environment [13] - Gemini for Workspace and Copilot for Education represent efforts to embed AI capabilities into familiar educational platforms, allowing for more efficient content generation and classroom management [15][16] - This shift indicates that AI is becoming an integral part of the educational process, moving from a supplementary tool to a foundational element of teaching environments [16] Group 4: Redefining Educational Systems - The evolution of educational agents marks a transition from "management information" to "teaching intelligence," indicating a deeper transformation in educational paradigms [16] - AI is facilitating a balance between personalization, scalability, and quality control in education, reshaping the boundaries between classrooms, teachers, and learning systems [16][17] - The future educational landscape will see human teachers and AI agents collaborating, emphasizing the importance of capability development over mere knowledge transfer [17]

Core Insights - The 2025 China International Service Trade Fair's education forum focused on "AI Reshaping the Future of Education," highlighting trends in AI-driven education consumption and technology transfer in higher education [1] - Yuanli Technology Group launched its first dedicated education AI, Xiaoyuan AI, which quickly gained market attention and was ranked first in new user downloads in the education AI sector [2] - Xiaoyuan AI's full-process learning assistance model significantly enhances learning efficiency and quality, achieving a fourfold increase in tutoring efficiency and a threefold increase in exam practice efficiency [4] Group 1: AI in Education - Xiaoyuan AI integrates a comprehensive learning support system that includes homework planning, learning diagnostics, knowledge mapping, and personalized learning suggestions [4] - The AI's ability to automate homework tasks and provide precise evaluations has transformed traditional learning methods, allowing students to save time and focus on exploring interests [4] - The AI's personalized learning approach addresses individual weaknesses and strengthens foundational knowledge, contributing to a "precision education revolution" [6] Group 2: Enhancing Core Competencies - Xiaoyuan AI extends its services to improve students' core competencies, fostering humanistic qualities and scientific spirit through various application scenarios [7] - The AI encourages exploratory learning, with 40% of users actively asking questions, primarily in the realm of general knowledge, indicating a shift towards a more engaging learning experience [7] - The "diagnosis-learning-practice" loop is a core feature of Xiaoyuan AI, systematically nurturing students' ability to learn effectively [7] Group 3: Interactive Learning Experience - Xiaoyuan AI's T4 model introduces an "AI Super-Personalized 1-on-1 Teacher" feature, enhancing the interactive learning experience with dual-screen design [8] - The AI's interactive capabilities aim to reduce the isolation often felt in traditional learning environments, promoting a more engaging and supportive educational atmosphere [8] - The company envisions that the evolving virtual teacher will provide top-tier educational guidance to students in both urban and rural settings, fostering equitable access to quality education [8]

Group 1 - The company, Lian Technology (300784), is focusing on opportunities arising from the trend of educational intelligence [1] - The company's main products are widely used in various fields including consumer electronics, toys, daily necessities, automotive parts, and medical devices [1]