“数智融合–产教协同”下智慧教学模式构建——基于《数智化企业运营决策》课程的教改实践
Construction of a Smart Teaching Model under “Digital-Intelligent Integration and Industry-Education Collaboration” —A Teaching Reform Practice Based on the Course “Digital Intelligent Enterprise Operations Decision-Making”
摘要: 随着数智经济与新商科建设的推进,理工科院校经管专业亟待探索具备数据思维与实战决策能力的复合型人才培养路径。针对《企业经营对抗实训》课程中存在的业务场景静态化、校企融合浅层化及评价方式单一化等教学痛点,本文构建了“数智融合–产教协同”双轮驱动的实践教学模式。该模式以成果导向教育(OBE)理念为指导,将网络营销、智能制造等企业典型数智化业务场景及商业智能(BI)工具系统性地融入教学环节。依托“数据看板驱动与敏捷复盘”实战模块,形成线上线下协同的教学闭环,并辅以校企互补的双导师制和多维过程性评价机制。教学实践表明,该模式有助于提升学生在复杂商业环境下的数据分析与动态决策能力,可为同类院校深化具有理工特色的新商科实践教学改革提供一定的参考与借鉴。
Abstract: With the advancement of the digital-intelligent economy and the construction of “New Business,” economics and management majors in science and engineering universities urgently need to explore cultivation paths for compound talents equipped with data-driven thinking and practical decision-making capabilities. Addressing the teaching pain points in the course Enterprise Operations Confrontation Training—such as static business scenarios, superficial school-enterprise integration, and singular evaluation methods—this paper constructs a practical teaching model dual-driven by “digital-intelligent integration and industry-education collaboration.” Guided by the Outcomes-Based Education (OBE) concept, this model systematically integrates typical corporate digital-intelligent business scenarios, such as network marketing and intelligent manufacturing, along with Business Intelligence (BI) tools into the teaching process. Relying on the practical module of “data dashboard-driven and agile review,” it forms a coordinated online and offline teaching closed loop, supplemented by a mutually complementary school-enterprise dual-tutor system and a multi-dimensional process evaluation mechanism. Teaching practices indicate that this model helps enhance students’ data analysis and dynamic decision-making abilities in complex business environments, providing a valuable reference for similar institutions to deepen New Business practical teaching reforms with science and engineering characteristics.
文章引用:刘学民, 何艺. “数智融合–产教协同”下智慧教学模式构建——基于《数智化企业运营决策》课程的教改实践[J]. 职业教育发展, 2026, 15(10): 289-295. https://doi.org/10.12677/ve.2026.1510439

参考文献

[1] 杨策, 杜卫雪, 李芳芳. 智慧学习环境下应用型高校课堂生态系统优化策略研究[J]. 科教文汇, 2026(17): 115-118.
[2] 马巍. “新质生产力 + 人工智能”驱动下的智慧教学探索与实践——以“单片机控制技术”课程为例[J]. 科技与创新, 2026(14): 225-227.
[3] 刘越, 林直晓, 汪晓津. 融合智慧教学的OBE理念在人力资源管理课程的探索与实践[J]. 科学咨询, 2026(15): 142-146.
[4] 毛云秋, 李晓娟, 徐景靓. 数智技术在高校智慧教学中的创新应用[J]. 中国信息界, 2026(7): 153-155.
[5] 史萌, 耿艳梅. 基于数智化教学环境的教学模式适配度研究[J]. 中国教育技术装备, 2026(16): 1-5.
[6] 杨秀英, 王卫永, 赵庆双, 等. 新工科专业产教融合协同育人模式研究与实践[J]. 高教学刊, 2026, 12(27): 166-169.
[7] 崔文艳, 王文佳, 王平, 等. 基于OBE理念的形态学实验技术课程教学模式构建[J]. 高教学刊, 2026, 12(27): 133-136.
[8] 欧阳日辉. “人工智能 + 数据要素”双轮驱动商业银行提升竞争力[J]. 当代金融家, 2026(7): 1.
[9] 罗跃国, 万樯生, 杨慧. 基于OBE理念的大数据存储课程教学改革[J]. 西部素质教育, 2026, 12(18): 36-39.
[10] 阮海燕. AIGC赋能高职课程智慧评价的路径与实践研究[J]. 佳木斯职业学院学报, 2026, 42(9): 226-228.
[11] 孙鹤文, 刘岩. 资源依赖理论下双导师育人困境与纾解路径[J]. 船舶职业教育, 2026, 14(5): 72-74.