[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f76nW01RWUSGMuMEHo-3n_obr1qm3lMM7wqO4ICG9Zs8":3},{"code":4,"msg":5,"data":6},200,"操作成功",{"id":7,"title":8,"content":9,"digest":10,"source":10,"coverPath":11,"thumbsCoverPath":12,"isTop":13,"isShow":14,"baseClick":13,"clickCount":15,"createTime":16,"typeId":17,"isNewest":18,"newsInfoTypeRespVo":19,"voiceUrl":22,"voiceSize":23,"taskId":24,"releaseTime":25,"titleEn":26,"contentEn":27,"voiceUrlEn":28,"taskIdEn":29,"voiceSizeEn":30},1578,"成都大学以数智平台推动产教融合育人——借力数字化培育复合型商科人才","\u003Cp class=\"ql-align-justify\">\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">在数字经济重塑商业格局与新质生产力驱动产业升级的双重背景下，新商科创新创业教育急需以平台重构突破传统模式局限。成都大学商学院以多年教育实践为基础，积极推动学院商科创新创业数智融合平台（以下简称“数智平台”）功能升级，通过动态反馈、数智实践与学科交叉的协同发力，实现以数智平台推动产教融合育人，为新商科创新人才培育搭建坚实载体。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan class=\"ql-lineHeight-1-75\" style=\"font-size: 18px;\">数智平台重构以实现动态反馈功能为首要起点。不同于理工科聚焦技术研发、人文社科侧重理论建构，商科以解决商业实践问题为导向，对产业动态的敏感度和需求响应的及时性要求更高。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan class=\"ql-lineHeight-1-75\" style=\"font-size: 18px;\">因此，数智平台重点聚焦了产业端需求数据和学校端培养数据，并搭建多维度数据采集与智能分析体系。产业端数据涵盖了合作商贸企业、金融机构的岗位能力要求，如数字营销中的用户画像分析、智能供应链中的数据决策等具体能力指标，同时结合地区经济产业规划整合区域发展需求。学校端数据，则包括课程与产业需求匹配度、学生在“中国国际大学生创新大赛”“挑战杯”等赛事中的成果转化率、毕业生岗位适配度、毕业生创业成功率及创业项目成长曲线等。目前，依托数智平台，学院通过算法挖掘数据关联，精准定位创新创业培养短板，为课程优化、赛事指导、创业孵化提供靶向依据，强化人才培养的精准性。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan class=\"ql-lineHeight-1-75\" style=\"font-size: 18px;\">基于动态反馈得出的产业需求结论，发挥数智平台优势，打造“场景化、沉浸式、闭环式”教学模式。目前，依托数智平台，学院打造了涵盖智能财务、智慧物流、数字营销等多元场景的仿真实训系统，实现三大功能，即可导入企业真实经营数据构建虚拟产业生态、跨专业协同支持多学科团队模拟产业链全流程运作、AI算法实时分析学生操作数据并生成优化建议。以“智能商业决策”课程为例，通过虚拟经营场景让学生模拟企业关键岗位，AI系统推送动态数据引导决策，教师结合能力短板分析开展针对性辅导，为双创课程迭代与创业项目孵化提供支撑，显著提升学生商业决策能力与实践水平。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan class=\"ql-lineHeight-1-75\" style=\"font-size: 18px;\">平台重构还需完善跨学科双创融合功能，契合新质生产力下复合型创新创业人才需求。当前，商业创新多学科知识的融合发展趋势明显，通过数智平台系统整合校内跨学科资源，学校构建了“技术+人文+商业”三维交叉支撑体系。在技术类学科融合方面，数智平台上线了计算机学院的数据分析、AI机器学习基础课程模块，帮助学生掌握解决商业问题的技术工具，如在金融实训中运用AI模型进行量化投资策略设计，强化以大数据、人工智能赋能创业管理、融资规划等核心课程，形成“技术赋能+人文护航+商业筑基”的交叉培养模式。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan class=\"ql-lineHeight-1-75\" style=\"font-size: 18px;\">数智时代的新商科，是融合现代技术的跨学科复合型商科，依托数字化平台，将大数据与人工智能方法和应用融入商科教学改革是切入点也是重要抓手之一，以实现动态反馈、数智实践与学科交叉的相互支撑、协同发力，培育复合型商科人才。未来，学院将持续深化平台的数智化升级，进一步强化AI技术在数据处理、虚拟创业场景构建、创新创业能力评价中的应用，推动跨学科资源整合向创业项目孵化、创新成果转化纵深发展，为新商科创新创业人才培养注入持久动力。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan class=\"ql-lineHeight-1-75\" style=\"color: rgb(187, 187, 187);\">（作者：杭行 曾倩 单位：成都大学，本文系四川省2024—2026年高等教育人才培养质量和教学改革项目《新质生产力视域下应用型本科高校创新创业教育实践路径探析》[项目批准号：JG2024-0932]成果）\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(136, 136, 136);\">【新闻来源】教育在线 \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.eol.cn\u002Fnews\u002Fmeeting\u002F202512\u002Ft20251230_2713219.shtml\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(136, 136, 136);\"> https:\u002F\u002Fwww.msn.cn\u002Fzh-cn\u002Fnews\u002Fother\u002Far-AA1RTDQy?ocid=BingHp01&cvid=6936317f054647a2afcd53fafcde084a&ei\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(136, 136, 136);\">（本网转发此文章，旨在为读者提供更多的信息资讯，所涉内容不构成投资、消费建议。文章事实如有疑问，请与有关方核实，文章观点非本网观点，仅供读者参考。）\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>","","https:\u002F\u002Fimage.51xinwei.com\u002F2026\u002F01\u002F72e19a4b133c4c3f823c312b97fdd778\u002F教育生态.jpg","https:\u002F\u002Fimage.51xinwei.com\u002F2026\u002F01\u002Fthumbs\u002F72e19a4b133c4c3f823c312b97fdd778\u002F教育生态.jpg",0,1,46,"2026-01-09 16:12",2,false,{"id":17,"name":20,"enName":21},"芯位视野","Xinwei Vision","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3Ab7b0b0f0-dad3-4017-aec3-a90c1623d55c%3A0.wav?Expires=1767952921&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=JRoYOmRk%2FUAbcKqO7App54QIEzs%3D",7523504,"b7b0b0f0-dad3-4017-aec3-a90c1623d55c","2026-01-09 16:11","Chengdu University promotes industry-education integration through digital intelligent platform - leveraging digitalization to cultivate compound business talents","\u003Cp class=\"ql-align-justify\">\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">Against the dual context of digital economy reshaping commercial patterns and new quality productive forces driving industrial upgrading, new business entrepreneurship education urgently needs to break through traditional model limitations through platform restructuring. Based on years of educational practice, Chengdu University's School of Business actively promotes the functional upgrade of its business entrepreneurship digital intelligent integration platform (hereinafter referred to as \"digital intelligent platform\"). Through the coordinated efforts of dynamic feedback, digital intelligent practice, and interdisciplinary collaboration, it realizes the cultivation of industry-education integration through the digital intelligent platform, providing a solid carrier for cultivating new business innovation talents.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan class=\"ql-lineHeight-1-75\" style=\"font-size: 18px;\">The restructuring of the digital intelligent platform starts with achieving the function of dynamic feedback. Unlike science and engineering disciplines focusing on technology development or humanities and social sciences emphasizing theoretical construction, business disciplines are oriented towards solving practical business problems, requiring higher sensitivity to industry dynamics and timely response to demand.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan class=\"ql-lineHeight-1-75\" style=\"font-size: 18px;\">Therefore, the digital intelligent platform focuses on the data from the industry side and the data from the school side, and builds a multi-dimensional data collection and intelligent analysis system. Industry-side data includes job capability requirements from cooperating commercial enterprises and financial institutions, such as specific capability indicators like user profile analysis in digital marketing and data decision-making in smart supply chains, while integrating regional development needs in conjunction with regional economic industry planning. School-side data includes course matching degree with industry demands, the conversion rate of students' projects in competitions such as the \"China International College Student Innovation Competition\" and \"Challenge Cup\", the suitability of graduates for positions, the success rate of graduate entrepreneurship, and the growth curve of entrepreneurial projects. Currently, based on the digital intelligent platform, the college uses algorithms to mine data associations, accurately identifies the shortcomings in innovation and entrepreneurship training, provides targeted basis for curriculum optimization, competition guidance, and entrepreneurship incubation, and enhances the precision of talent cultivation.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan class=\"ql-lineHeight-1-75\" style=\"font-size: 18px;\">Based on the industry demand conclusions derived from dynamic feedback, the digital intelligent platform leverages its advantages to create an \"scenario-based, immersive, closed-loop\" teaching model. Currently, the college has developed simulation training systems covering multiple scenarios such as intelligent finance, smart logistics, and digital marketing through the digital intelligent platform, achieving three functions: importing real business data to build a virtual industry ecosystem, supporting cross-disciplinary collaboration for multidisciplinary teams to simulate the entire process of the industrial chain, and using AI algorithms to analyze student operation data in real-time and generate optimization suggestions. Taking the \"Smart Business Decision-Making\" course as an example, students simulate key positions in companies through virtual business scenarios, and the AI system pushes dynamic data to guide decisions. Teachers provide targeted guidance based on ability gap analysis, providing support for the iteration of innovation and entrepreneurship courses and the incubation of entrepreneurial projects, significantly enhancing students' business decision-making capabilities and practical skills.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan class=\"ql-lineHeight-1-75\" style=\"font-size: 18px;\">The restructuring of the platform also needs to improve cross-disciplinary innovation and entrepreneurship integration functions to meet the demand for compound innovation and entrepreneurship talents under new quality productive forces. Currently, the trend of integrating multidisciplinary knowledge in business innovation is evident. By systematically integrating cross-disciplinary resources within the university, the school has established a \"technology + humanities + business\" three-dimensional cross-support system. In terms of technology discipline integration, the digital intelligent platform has launched data analysis and AI machine learning basic course modules from the School of Computer Science, helping students master technical tools for solving business problems, such as using AI models for quantitative investment strategy design in financial training, strengthening core courses such as entrepreneurship management and financing planning empowered by big data and artificial intelligence, forming a cross-disciplinary training model of \"technology empowerment + humanities support + business foundation\".\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan class=\"ql-lineHeight-1-75\" style=\"font-size: 18px;\">New business disciplines in the digital intelligent era are interdisciplinary composite business disciplines. Relying on digital platforms, integrating big data and artificial intelligence methods and applications into business education reform is the entry point and one of the important handles, aiming to achieve mutual support and coordinated efforts among dynamic feedback, digital intelligent practice, and interdisciplinary collaboration, cultivating compound business talents. In the future, the college will continue to deepen the digital intelligent upgrade of the platform, further strengthen the application of AI technology in data processing, virtual entrepreneurship scenario construction, and innovation and entrepreneurship ability evaluation, promote the in-depth development of cross-disciplinary resource integration toward entrepreneurship project incubation and innovation achievement transformation, and inject sustained momentum into the cultivation of innovation and entrepreneurship talents in new business disciplines.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan class=\"ql-lineHeight-1-75\" style=\"color: rgb(187, 187, 187);\">（Author: Hang Xing, Zeng Qian, Unit: Chengdu University, this article is the result of the Sichuan Provincial Project on the Quality and Teaching Reform of Higher Education Talent Cultivation from 2024 to 2026, \"Exploration of Practical Pathways for Innovation and Entrepreneurship Education in Applied Undergraduate Colleges under the Perspective of New Quality Productive Forces\" [Project Approval Number: JG2024-0932]）\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(136, 136, 136);\">【News Source】Education Online \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.eol.cn\u002Fnews\u002Fmeeting\u002F202512\u002Ft20251230_2713219.shtml\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(136, 136, 136);\"> https:\u002F\u002Fwww.msn.cn\u002Fzh-cn\u002Fnews\u002Fother\u002Far-AA1RTDQy?ocid=BingHp01&cvid=6936317f054647a2afcd53fafcde084a&ei\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(136, 136, 136);\">（This article is reprinted by this website to provide readers with more information. The content does not constitute investment or consumption advice. If there are any doubts about the facts of the article, please verify with relevant parties. The views expressed in the article are not the views of this website and are for reference only.）\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3Aedf4e4ec-3650-4bbd-a820-850346f84748%3A0.wav?Expires=1774838431&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=mh4tjwwH0baVp02iwA%2BvFMrZTu8%3D","edf4e4ec-3650-4bbd-a820-850346f84748",11936154]