Group 1 - The "2026 Group Meal Industry Education Integration Forum" was successfully held at Sichuan Tourism University, marking a significant step in the establishment of a high-quality talent training system for China's group meal industry [1][3] - The forum focused on two core topics: "Talent Cultivation" and "Technology Research and Development," discussing practical paths for promoting high-quality development in the industry through education-industry integration [3] - The establishment of the Group Meal Industry College is seen as a key measure to address the industry's "talent shortage" and "innovation weakness," contributing to the sustainable ecosystem of the group meal industry [3] Group 2 - The forum was guided by the Sichuan Provincial Department of Education, Sichuan Provincial Department of Commerce, and the China Hotel Association, and was supported by nearly 30 provincial industry associations and over 100 well-known enterprises [3] - The forum included three main thematic sections: "Education-Industry Integration," "Talent Cultivation," and "Research and Innovation," featuring reports from over ten experts and industry leaders on topics such as industry trends from a capital perspective and the application of artificial intelligence technology [3]

Core Insights - The article highlights Guangzhou's initiative to launch the "Yangcheng Skills Station" training program aimed at enhancing employment opportunities through skill development and industry-education integration [1] Group 1: Program Overview - The "Yangcheng Skills Station" offers nearly 200 public courses focusing on key areas such as digital economy, livelihood services, and intelligent manufacturing [1] - The program is designed to assist various groups including unemployed individuals, migrant workers, college graduates, veterans, and those facing employment difficulties [1] Group 2: Training Structure - Most courses are free, with some certification classes available for a fee, allowing participants to apply for subsidies upon successful certification [1] - The training adopts a blended learning approach, combining online theoretical learning with offline practical training, and offers flexible scheduling options such as weekend and evening classes [1] Group 3: Technological Integration - Certain training sites provide digital resources like live streaming courses and VR simulation training to cater to diverse learning needs [1]

Group 1 - The event organized by China Merchants Securities aims to enhance national financial literacy and fulfill corporate social responsibility through immersive learning experiences for finance students [1][2] - Students visited the Shenzhen Stock Exchange Financial Expo Center to understand the development of China's capital market and its role in supporting state-owned enterprise reform and financing for technology innovation [1] - The immersive experience highlighted the integration of technology in finance, allowing students to grasp the logic behind technological advancements reshaping the financial industry [1] Group 2 - The visit to the Shenzhen Wanjindu Deep Run Building Securities Office included discussions on practical aspects of the securities industry, career challenges, and growth paths from employees in various positions [2] - Senior wealth advisors shared insights on the integration of financial technology and wealth management, as well as practical asset allocation strategies, providing students with a closer look at industry practices and trends [2] - This visit is part of China Merchants Securities' initiative to deepen the integration of industry and education, aiming to cultivate professionals with both theoretical knowledge and practical skills for the financial sector [2]

□ 管淼 郁佳莉 陆文燕 高校作为人才培养的主阵地，要坚定不移地走好拔尖创新人才自主培养之路，有组织地培养造就更多创 新人才和创新团队，把人才优势转化为培育和发展新质生产力的有效动能。近年来，学院着力培养支撑 新质生产力发展的新型技术人才，具体措施包括：一是全面推行"项目化、情境化"教学。学院打破以课 堂为重点、以教师为中心的传统模式，将企业真实项目、典型案例和技术难题引入课堂。例如，教师将 思必驰公司的"场景识别难题"转化为阶段性教学任务，学生在课堂上完成需求分析、方案设计，在实验 室进行算法模拟与验证，最终形成的优化算法获企业部分采纳，团队毕业生均被企业优先录用。这一过 程完整展示了"教学做一体化"的项目实施流程。二是强化实践教学与科研创新深度融合。学院注重引导 学生在导师的带领下参与科研项目，锻炼其科研创新和实践操作能力。以电子信息工程专业学生团队为 例，在导师带领下，历经文献调研、原理验证、原型试制、性能测试等多轮科研循环，最终成功研制出 新型传感器并获得多项专利。这标志着学生的能力已从技术应用提升至原始创新阶段。充分提升了学生 的科研成就感和创新自信心。三是着力构建跨学科培养体系，以提升学生创新思维 ...

崔昌华 党的二十届四中全会通过的《中共中央关于制定国民经济和社会发展第十五个五年规划的建议》 (以下简称《建议》)立足中国式现代化全局，深刻把握国内外形势变化和经济社会高质量发展的迫切需 求，作出"加快建设国家战略人才力量，培养造就更多战略科学家、科技领军人才、卓越工程师、大国 工匠、高技能人才等各类人才。加强人才协作，优化人才结构，促进人才区域协调发展"的系统部署。 在全球化、数字化深度交织的当下，这一部署具有重大意义，为新时代职业教育改革发展提供了根本遵 循。 培养担当海南自贸港建设重任的高素质技术技能人才，首在立德铸魂。必须将思政教育作为职业教 育的生命线，实现全程、全方位育人。一是构建"大思政"一体化育人格局，推动思政课程与课程思政同 频共振。充分提炼专业课程所蕴含的家国情怀、科学素养、职业操守、法治意识等思政内涵，特别是紧 密结合海南自贸港建设中的国家战略意义、改革开放实践、先进典型事迹等，开发本土化、行业化教学 案例，使价值引领"润物细无声"。在岗位实习中深化契约精神与责任担当，在技能竞赛中锤炼团队协作 能力、树立卓越追求，在志愿服务中升华奉献精神与社会责任感。二是开发富有海南自贸港特色的思政 资 ...

Core Viewpoint - Digital talent is a key factor in the competition of the digital economy era, with a significant talent gap projected to exceed 30 million by the end of 2025 in China [1][5]. Group 1: Policy and Framework - The National Development and Reform Commission and other departments issued an opinion to strengthen the construction of data-related disciplines and digital talent teams, focusing on four dimensions: discipline construction, vocational education, academic research, and collaboration between industry and academia [1]. - The opinion emphasizes deepening the integration of industry and education, aiming to cultivate application-oriented and skilled talents who can transform data elements into real productivity [1][4]. Group 2: Industry-Education Integration - Vocational education is highlighted for its focus on practical skills, with schools encouraged to collaborate with data enterprises to develop educational programs and training bases [2][3]. - In Zhejiang, the digital economy has seen continuous double-digit growth for 11 years, with vocational schools adapting their curricula to meet industry needs, thus enhancing student employability [2]. Group 3: Challenges and Solutions - Despite initial successes in industry-education integration, the rapid evolution of digital technology poses challenges in aligning talent training with industry needs [4]. - Suggestions include establishing a national industry vocational education teaching guidance committee to better predict talent demand and adapt educational offerings accordingly [5]. Group 4: Curriculum Development - The opinion calls for the development of digital courses based on real application scenarios and the creation of practical teaching materials to meet operational needs [5]. - Schools are encouraged to continuously update their curricula to include emerging topics such as AI, ensuring alignment with industry standards and job market requirements [3][4].

本报讯（记者赵一诺）近日，教育部发布拟同意设置本科高等学校名单公示，黑龙江农业工程职业技术 大学、哈尔滨建筑科技职业大学位列其中。 此次公示的拟新设本科高校中，黑龙江入选的两所院校均为公办职业本科类型，聚焦农业工程与建筑科 技两大核心领域，紧扣黑龙江省现代农业、城乡建设等支柱产业发展需求。黑龙江农业工程职业技术大 学依托农业工程职业教育积淀，将重点培养农业装备、现代农业技术等领域的高层次技术技能人才；哈 尔滨建筑科技职业大学则立足建筑科技产业发展趋势，着力打造建筑设计、智能建造等方向的应用型人 才培养基地。 近年来，我省始终坚持职业教育与产业发展同频共振，通过优化职业教育布局、提升办学层次，推动职 业教育从专科向本科延伸，为全省产业升级和经济社会发展输送高素质技术技能人才。此次两所职业本 科高校的拟设立，将进一步填补我省农业工程、建筑科技领域本科层次职业教育的空白，助力产教融 合、校企合作向更深层次推进，为黑龙江全面振兴全方位振兴提供更坚实的人才支撑。 （来源：黑龙江日报） 转自：黑龙江日报 ...

Core Insights - The establishment of the data analysis industry education integration community aims to address the urgent need for digital talent in the context of the booming digital economy and the accelerated release of data factor value [1][2] - Data is identified as a new production factor that is crucial for cultivating new productive forces and driving high-quality economic development, with the "14th Five-Year Plan" period expected to be a peak for the release of data factor value [1] Group 1 - The report by Dr. Ren Dong highlights the foundational advantages and real challenges of local development in Shandong, noting that while the province has a relatively complete data infrastructure system and ranks high in data openness, issues such as insufficient effective supply of data resources and a shortage of high-end computing power remain pressing [1] - The phenomenon of "labor shortages" and "low quality coexistence" in areas like data labeling underscores the importance and urgency of education-industry integration [1] Group 2 - To address industry development pain points, Dr. Ren proposes that building an education-industry integration community is a key measure to resolve the talent supply-demand contradiction in the digital sector [2] - The community aims to establish a comprehensive data factor discipline and professional system, covering areas such as data collection, cleaning, analysis, security, and digital governance, guided by national strategy and industry development [2] - Shandong is advancing the construction of a data comprehensive experimental zone through legislative efforts, the establishment of an integrated computing network, and the cultivation of a data trading service ecosystem, with the community serving as a platform to connect educational institutions, research organizations, and enterprises [2]

Core Insights - The report emphasizes the transition of AI applications in China from "pilot quick wins" to "full-scale promotion," highlighting a significant value bottleneck where 80% of enterprises deploying generative AI report no substantial impact on financial statements [1] - AI is evolving from being viewed as a "super tool" to becoming a "digital employee," capable of planning, decision-making, and task execution, marking a shift towards high-quality development in AI applications [2] Industry Trends - The report identifies a fundamental shift in AI applications, moving from functional combinations to skill combinations, enabling end-to-end process capabilities [2] - Companies are encouraged to adopt a tiered approach to AI implementation based on cost reduction, user experience, revenue enhancement, and transformation [2] Talent Development - The report stresses the importance of organizational structure iteration and the cultivation of composite talents as key challenges for successful AI implementation [2] - It suggests that IT organizations should differentiate into AI product manager teams and infrastructure maintenance teams to support agile iterations [2] Education and Industry Integration - The report calls for a focus on industry needs to build a talent cultivation system that accurately aligns with industry practices [3] - It advocates for collaborative efforts between schools and enterprises to develop practical platforms, course systems, and introduce benchmark enterprise cases to bridge the gap between talent cultivation and industry demand [3]

Core Viewpoint - The establishment of the data analysis industry education-industry integration community in Shandong Province is a significant step towards addressing the challenges in digital talent cultivation and enhancing the quality of vocational education to support the digital economy and artificial intelligence development [1][4]. Group 1: Current Challenges in Digital Talent Cultivation - There is a prominent structural contradiction between supply and demand, with traditional talent cultivation systems lagging behind, resulting in a gap between graduates' capabilities and enterprise needs [3]. - The depth of education-industry integration is insufficient, characterized by a "school hot, enterprise cold" phenomenon and loose cooperation, indicating a need to stimulate enterprise participation [3]. - Educational resources are unevenly distributed, leading to imbalances in the allocation of quality courses, training platforms, and dual-qualified teachers across regions and institutions [3]. - The educational ecosystem is not yet mature, requiring further exploration and practice in the deep integration of AI technology with teaching management and innovative applications of intelligent tools [3]. Group 2: Recommendations for Future Development - Emphasize a demand-oriented approach by deepening the connection mechanisms, dynamically assessing talent needs, and promoting enterprise involvement in the entire talent cultivation process to achieve "zero distance" between talent development and job requirements [4]. - Focus on competency-based education by promoting teaching reforms, constructing modular course systems, integrating cutting-edge technologies, and exploring new models of "AI + education" to enhance teachers' digital teaching capabilities [4]. - Foster resource sharing by creating practical platforms, encouraging member units to co-build training bases and resource libraries, and facilitating the flow and value addition of quality resources [4]. - Innovate cooperation models by establishing a tangible operational mechanism, deepening interest connections, and improving organizational structures and incentive mechanisms to ensure the sustainable development of the community [4].