在浙江大学的玉泉校区，一位杰出的教育家，潘云鹤，用近半个世纪的坚持和努力推动了中国人工智能和计算机图形学的发展。他不仅是这一领域的开拓者之一，更通过具体应用和成果展示了人工智能的巨大潜力。

潘云鹤于1978年进入浙江大学学习计算机，成为中国首批人工智能研究生。他的研究将人工智能与计算机图形学结合，开发了“智能模拟彩色平面美术图案创作系统”，该系统得到诺贝尔奖获得者赫伯特·西蒙的高度评价，展示了AI在艺术创作中的实际应用。

在教育方面，潘云鹤注重培养学生的实际操作能力。他带领学生们参与长达5年的科研项目，确保人才的质量和培养与最新的技术前沿紧密结合。他的指导使年轻副教授们迅速成长为各自领域的领军人物，促进了学术界的繁荣。

潘云鹤还积极推动学科建设，参与编写具有中国特色的人工智能教材，并创立“智海”科教平台，为学生提供丰富的学习资源。此外，他捐赠成立的“潘云鹤人工智能科教基金”旨在促进人工智能人才的培养，为国家实现科技强国目标贡献力量。

如今，潘云鹤积极参与国家人工智能战略，继续为未来的人才培养和技术进步而努力。他的故事不仅体现了一位教育者的责任感，更展示了人工智能在各个领域应用的无尽可能与深远影响。

在北京航空航天大学杭州创新研究院，一场独特的考试正在进行，十多位考生通过理论机考、实操演练和综合答辩，争取获得人工智能训练师职业技能等级认证。这一角色在AI产品落地中至关重要，主要通过数据管理和算法调整，使AI更精准地解决实际问题。

根据国家职业标准，人工智能训练师分为五个级别，供不同层次的从业人员选择。例如，在一级考试中，考生需构建自动驾驶AI模型并部署，让小车完成全流程运行。考生刘乐表示，即使在相关行业工作多年，面对高级别考试仍有相当挑战。

人工智能技术带来了显著的行业变革，刘乐提到，过去需要人工编码和调试，如今只需与大模型沟通，即可快速产出高质量的系统应用，极大地提升了研发效率。

陈姝羽则从一名医药公司的销售转型为人工智能训练师入门者，利用业余时间学习基础理论，感受到AI技术的潮流并积极应对。她希望成为AI的“导师”而非被替代者。

北航杭州创新研究院依托训练师技能大师工作室，打造集理论学习、实际应用和能力认证于一体的人才实训平台，覆盖仓储物流、加工制造、居家养老等多个领域。学员在十余种仿真环境中进行全流程训练，迅速积累实战经验。

政府的政策指引也在支持这一培训体系，2025年学院已培训超3000人，为1400人评估认证。希望通过平台继续优化培养体系，助力更多职场人开拓新发展空间。

On January 13, Jiangsu Province announced its "Artificial Intelligence Empowerment" action plan, aiming to integrate AI in educational practices and promote a human-AI collaborative teaching model. As a pioneer in smart education, Jiangsu has established a digital education platform serving over 17.8 million users across more than 8,100 schools, achieving nearly 100% coverage in compulsory education.

AI applications are notably transforming traditional classroom dynamics. At Yangming Experimental School in Wuxi, mathematics teacher Yao Wei utilizes an EINK smart learning device instead of conventional board methods, allowing students to focus on problem-solving rather than note-taking. The system automatically generates personalized learning tasks, significantly enhancing classroom interaction and improving educational outcomes. In Liangxi District, dynamic analysis of student homework has reduced homework volume by 23% while increasing parental satisfaction to 91%.

In Nanjing, the "smart homework" model employs big data to identify student weaknesses, offering targeted practice and reinforcing classroom learning efficiency. The "knowledge graph" developed in Xinghua City has doubled access to quality educational resources for rural students, improving classroom performance by an average of 5.8 points.

Further, AI is enabling personalized learning paths, benefitting both urban and rural students. In Lianyungang, high-speed networks provided to rural schools have improved teaching quality significantly.

Jiangsu's approach combines classroom innovation, resource optimization, and advanced evaluation methods. The integration of AI in educational assessments has shifted from merely grading to fostering comprehensive student growth, producing over 23,000 personalized student reports.

Moving forward, Jiangsu's commitment to leveraging AI in education aims to enhance quality, personalize learning experiences, and break down educational barriers, ensuring equitable access to effective teaching resources for all students.

Recently, the "Shicheng Wanxiang" foundational education model, developed by a research team from the College of Artificial Intelligence, received official approval from the National Internet Information Office. This marks it as the first foundational education model to obtain national-level certification, aligning with new curriculum standards. This achievement confirms that the model meets national requirements in technical compliance, safety control, and application standards, qualifying it to offer intelligent services in the educational sector.

Supported by the Municipal Science and Technology Commission and guided by the Municipal Education Commission, Beijing Normal University’s Engineering Research Center for Intelligent Technology and Education Applications has created the nation’s first foundational education model that closely adheres to the new curriculum framework. The model provides advanced educational capabilities, including intelligent problem-solving based on knowledge comprehension, guided Q&A, situational question creation, and competency-oriented lesson plan generation. These features effectively meet the practical needs of educational scenarios, enhancing the model's applicability and professionalism in real teaching contexts. Currently, the system is available in the AI application market managed by the Municipal Education Commission, with over 200 schools in districts like Haidian and Dongcheng already utilizing it.

Looking ahead, "Shicheng Wanxiang" aims to further explore applications in teaching support and personalized learning, driving the profound integration of artificial intelligence technology in foundational education. This initiative will contribute to the digital transformation and high-quality development of education.