中新网鄂尔多斯11月22日电 题：探访煤炭大市鄂尔多斯的教育逆袭密码 中新网记者 李爱平 过去五年(指"十四五"时期)，李美荣最自豪的是，她所在的内蒙古自治区鄂尔多斯市康巴什区，每年将 财政收入的3/4用于教育，全方位保障各类资源的均衡配置。 "作为康巴什区教育局局长，我现在越来越自信了。"11月22日，坐在记者面前的李美荣表示，"十四 五"期间，康巴什区累计投入教育资金达36.46亿元，现在康巴什区的"美好教育"办学理念，甚至被业界 概括为"康巴什现象"。 什一中学子在学习中。 王玉琼供图 2004年开建的康巴什，是一座建在沙漠上的城市，过去五年，当地在教育领域发生了很大变化。目前当 地在职教师中本科及以上学历占比98.55%，研究生学历占比20.3%，部属师范院校毕业生占比 13.81%，"双一流"院校毕业生占比37.72%。 图为康巴 什一中学子在与老师沟通。 王玉琼供图 图为康巴 "今年年内，康巴什区承办了三次全国性的教育会议，教育部相关领导在考察完我们的办学后纷纷点 赞。"李美荣认为，康巴什区在教育上的多年努力，完成了逆袭。 "如今在康巴什区每年都会新建2至3所学校。"李美荣介绍，目前，康巴什区共成 ...

Core Insights - The Ministry of Education has announced the second batch of primary and secondary school artificial intelligence education bases, with Nanjing being the only city in the province to have two schools selected, bringing the total to three schools in Nanjing, the highest in the province [1] Group 1: Nanjing Schools Selected - Nanjing Keliwa Middle School has established the "Keliwa AI Wisdom Institute," focusing on a comprehensive AI education approach that covers all students, subjects, and aspects of campus life [3] - Nanjing Deaf School, founded in 1927, has integrated AI into its teaching, creating a "least restricted" educational environment for hearing-impaired students, and has developed a three-tier AI curriculum system [6] - Nanjing Jinling Experimental Primary School was recognized as the first city-level innovative education base focusing on AI education in 2019 and was later designated as a national AI education base in February 2024 [8] Group 2: AI Curriculum and Teacher Development - Nanjing Keliwa Middle School has developed a diverse AI curriculum system that includes popularization, integration, and innovation courses to enhance students' AI literacy [3] - Nanjing Deaf School has formed a digital learning team to promote teacher professional growth and has achieved notable success in digital literacy competitions [6] - Nanjing Jinling Experimental Primary School has implemented innovative practices in AI course offerings and teacher training to foster a new learning model for children [8] Group 3: Educational Innovation and Impact - Nanjing Keliwa Middle School aims to create a new ecosystem for intelligent education by integrating AI into all aspects of teaching and management [3] - Nanjing Deaf School's AI-driven approach has provided a reference model for the digital transformation of special education institutions [6] - The initiatives taken by Nanjing Jinling Experimental Primary School reflect a commitment to nurturing innovative talents equipped for the digital age [8]

【环球网科技报道 记者 张阳】2025年10月24日至26日，国内教育领域规模最大、影响力最广的行业展会——第86届中国教育装备展示会，在青岛世界博览 城国际展览中心盛大开幕。本届展会以"人工智能引领教育装备高质量发展"为主题，汇聚了众多教育装备领域的领军企业与创新成果。其中，华为终端旗下 商用终端及解决方案品牌华为擎云，携擎云智慧教育解决方案及自主创新终端重磅亮相，凭借"真自主真可控"与"易部署易管理"两大核心优势，为教育行业 高质量发展注入新动能，引发行业广泛关注。 随着人工智能、大数据等技术与教育领域的深度融合，教育数字化转型已成为推动教育高质量发展的必然趋势。然而，在转型过程中，一系列痛点逐渐凸 显，制约着教育数字化的进一步推进。 从数据安全与公平性来看，数字化终端在校园的广泛应用使得教学数据、师生信息等数字资产的体量急剧增加，数据泄露、篡改等安全风险随之升高。同 时，在学考等关键场景中，如何保障考试过程的公平公正，防止作弊行为，成为教育管理者面临的重要难题。一旦核心业务数据受损或考试公平性被破坏， 将对教育教学秩序和学生的发展产生严重影响。 教育数字化转型迫在眉睫，痛点待解 在考试场景中，"擎云智慧 ...

Core Insights - The emergence of digital educators, such as "Fan Fan," signifies a structural transformation in the education sector, moving from entertainment applications to genuine teaching roles [1][2] - The evolution of educational digital humans from mere content delivery tools to cognitive teaching assistants highlights the integration of advanced technologies [2][4] - The implementation of digital educators in various educational settings reveals both their potential benefits and the challenges they face in real-world applications [4][5] Group 1: Evolution of Educational Digital Humans - Initially, educational digital humans served as video production tools, primarily replacing human teachers for standardized content delivery [2] - With advancements in generative AI and multimodal perception, digital humans have developed teaching comprehension capabilities, allowing for real-time interaction and personalized feedback [2][4] - This transition positions digital humans as cognitive teaching assistants, actively participating in the entire teaching process [2] Group 2: Practical Applications and Feedback - Digital humans are being utilized in vocational education for tasks such as answering questions and course reviews, allowing human teachers to focus on deeper engagement with students [4][5] - In fields like medicine and engineering, digital humans enhance experimental teaching through three-dimensional visual aids, improving student understanding and classroom efficiency [4] - In basic education, digital humans are generating micro-courses and personalized explanations, particularly in areas with unequal educational resources, showing potential for enhancing educational equity [5] Group 3: Challenges and Ethical Considerations - The reliance on digital humans raises concerns about the accuracy of content generation and the potential for students to become overly dependent on them, diminishing interaction with real teachers [5][6] - The anthropomorphism of digital educators can lead to misplaced authority, as students may attribute teacher-like credibility to them despite their lack of accountability [6][7] - The absence of standardized protocols for data collection and processing in the use of digital humans poses risks to student rights and privacy [6][9] Group 4: Institutional Framework and Future Directions - The rapid development of educational digital humans outpaces the establishment of industry standards and policies, creating fragmentation and potential risks [9][10] - There is an urgent need for national-level initiatives to create a comprehensive framework for educational digital humans, covering aspects like capability grading and ethical boundaries [9] - Future competition in the field will hinge on system integration capabilities and educational outcomes rather than superficial attributes [10][11]

Core Insights - The article discusses the development and implementation of a fault diagnosis label system for high school mathematics, aimed at addressing long-standing challenges in educational assessment and personalized learning [1][3]. Group 1: Educational Challenges - Traditional assignment grading is burdensome for teachers and often only provides binary feedback, failing to uncover the cognitive roots of errors [1]. - Students struggle with understanding the reasons behind their mistakes due to a lack of specific feedback, leading to a superficial understanding of concepts [1]. Group 2: System Development and Application - The fault diagnosis label system is a pioneering approach that transforms daily teaching data into analyzable "fault" dimensions, supporting teaching optimization and personalized learning [3]. - The system is based on national curriculum standards and has been systematically constructed to efficiently identify errors and evaluate complex cognitive tasks [3][4]. Group 3: Empirical Evidence and Effectiveness - The system has been validated through extensive empirical research, analyzing data from 20 million student responses across 200 schools and 3,000 teachers [4]. - Third-party evaluations show a machine grading accuracy of 97% and a 96% consistency rate in fault diagnosis between human and machine assessments [4]. Group 4: Innovative Educational Solutions - The fault diagnosis label system has been integrated into the "Spark Intelligent Grading Machine," which offers rapid feedback and precise diagnostics for various educational scenarios [5]. - This innovation not only upgrades grading tools but also transforms teaching methodologies, facilitating a shift from a one-size-fits-all approach to personalized education [5].

来源：中国网 大会现场的作品展示环节成为亮点，17位获奖教师代表分享创新实践，作品有的利用AI模拟天体运 动，突破传统实验局限，让抽象的物理知识可视化；有的创设3D沉浸式教学场景，并嵌入AI数字人实 时答疑，提升课堂互动性。"人工智能就像教师的'超级助手'，通过培训和大赛，因材施教从理想照进 了现实。"鹤鸣山小学教师刘栋的分享引发在场教师共鸣，协同共创及跨学科深度融合让教学设计与课 堂形态焕发新生。 9月29日，由湖南省沅陵县教育局主办的2025年沅陵县首届中小学教师人工智能教育应用创新大赛颁奖 总结大会在沅陵一中圆满举行。这场覆盖全学科的赛事，吸引县域1462名教师报名参与，最终评选出 539项获奖成果，通过"培训—应用—竞赛"闭环模式，为县域教育数字化转型提供可复制的"沅陵样 本"，直接惠及当地5万余名学生。 "沅陵的实践实现了从AI工具应用到模式创新的关键突破。"帕拉卡专家点评指出，当地教师在AI教学中 构建起了问题诊断、技术适配、效果验证的科学认知链，精准匹配县域学情特点，为全国县域教育数字 化转型提供了可借鉴的实践路径。 此次大赛分设信息素养赛与应用案例赛两大类别，信息素养赛聚焦AI教学基础技能考核 ...

Core Viewpoint - The article emphasizes the need for legal and institutional innovation in the maritime sector to address challenges posed by geopolitical shifts, artificial intelligence, and carbon neutrality, with China actively contributing to the development of maritime arbitration and legal technology [1][3]. Maritime Arbitration Innovation - The Shanghai Maritime University is advancing arbitration system innovation through a dual-track approach of institutional and technological innovation, focusing on maritime arbitration and smart arbitration platform development [4][6]. - A team at Shanghai Maritime University is working on arbitration system innovation, leveraging local legislative powers, industry ecosystem, and talent cultivation to enhance judicial applications in maritime arbitration [6][5]. - The integration of artificial intelligence in arbitration processes is being explored, with collaborations aimed at creating an intelligent arbitration assistant to improve efficiency and facilitate system innovation [6][5]. Legislative Development - The article discusses the need for legislative reforms in maritime law, particularly the revision of the Maritime Code and the Special Procedures for Maritime Litigation, to align with the evolving maritime industry [8][9]. - Initial discussions on revising the Maritime Code have taken place, with a focus on incorporating industry insights and adapting to contemporary maritime practices [9][10]. - The establishment of a comprehensive Shipping Law is deemed necessary to provide a legal framework for international maritime trade, reflecting China's growing maritime influence [9][10]. Digital Transformation in Education - The "Cloud Maritime University" initiative represents a significant step in maritime education reform, aiming to integrate digital technology into teaching and research, and to extend maritime education internationally [13][14]. - The university's digital infrastructure is designed to facilitate data governance and enhance educational outcomes, promoting continuous interaction between students and faculty [14][13]. - The initiative aims to create a platform for lifelong learning and interaction, distinguishing it from traditional educational models [14].

Core Viewpoint - The conference emphasized the importance of integrating vocational education with industry development, particularly in the context of digital transformation in education [1] Group 1: Conference Highlights - The event was hosted by the National Digital Business Industry-Education Integration Community and focused on new models of industry-education integration in the digital business sector [1] - Experts discussed the need to shift from superficial connections to a restructured mechanism for industry-education integration, advocating for joint standard-setting, resource sharing, and collaborative innovation [1] - The conference showcased case studies that provided replicable and promotable practices for industry-education integration [1] Group 2: Educational Standards and Development - The release of three standardization projects, including international professional teaching standards and curriculum, marked a significant step towards standardization and internationalization in digital business education [1] - The conference highlighted the role of vocational education in supporting national strategies and enhancing talent cultivation quality to bolster the digital economy and regional industrial upgrades [1] - The event demonstrated the "Jiangsu practice" of industry-education integration and explored new pathways for high-quality development of vocational education in the context of building a strong educational nation [1]

□ 刘春雷 党的二十大报告指出，"推进教育数字化，建设全民终身学习的学习型社会、学习型大国。"当前，数字 化转型已成为全球教育领域变革的重要载体与发展方向，既是谱写中国教育现代化新篇章的关键抓手， 也是加快推进教育治理体系和治理能力现代化的强劲引擎。大学作为科技创新的重要策源地与人才培养 的主阵地，理应在新技术研发应用中走在前列、作出示范，紧抓数字化转型机遇，以数字基础设施建设 （数字基建）赋能数字技术应用，重塑办学理念与治理模式，推动高等教育在人才培养、科学研究、社 会服务等方面实现系统性变革。 提升算力，打造教育数字化转型的核心引擎 作为数字时代的核心生产力之一，算力集信息计算力、数据存储力、网络运载力于一体，正以系统性突 破推动教育领域发生深刻变革，为大学治理现代化与智慧校园建设提供重要支撑。 从数据要素潜能激活维度看，算力是打通教育数据价值转化通道的关键密钥。强大的算力支撑能够实现 对多源异构数据的实时处理、深度挖掘与关联分析，使原本分散的信息转化为具有决策价值的知识资 产。例如，通过算力赋能的学习分析系统，可精准捕捉学生的学习行为特征与认知规律，为个性化培养 方案制定提供数据支撑；针对科研数据的算力 ...

Group 1 - The 2025 China-Latin America Technology Cooperation Development Exchange Conference was officially opened in Dongguan, Guangdong Province, with over 350 representatives from China, Latin America, and the Caribbean participating [1][2] - The "China-Latin America Technology Partnership Program" was launched, focusing on six key actions including strategic alignment in technology development, joint research, cultural exchanges, and technology transfer to enhance regional cooperation and support economic growth [1][3] - The establishment of the China-Latin America Digital Education University Alliance aims to promote smart education innovation and cultivate international talents with bilingual capabilities and technical expertise [2] Group 2 - The China-Latin America and Caribbean Countries Trading Platform was launched, providing comprehensive services for bilateral enterprise investments and international trade [2] - The conference included parallel sessions on digital education transformation and digital economy development to deepen technology innovation cooperation and promote collaboration between industry, academia, and research [2] - The China-Latin America Technology Transfer Center is a comprehensive multinational technology transfer organization approved by the Ministry of Science and Technology, aimed at fostering deep cooperation in economic construction and technology exchange [3]