人工智能素养融入电商人才培养的挑战与策略

Challenges and Strategies of Integrating Artificial Intelligence Literacy into E-Commerce Talent Training

摘要: 人工智能发展对电商人才培养提出了素养要求同时提供了技术支撑与模式创新。聚焦人工智能素养融入电商人才培养的核心议题，结合国家政策要求与电商产业智能化转型需求，系统梳理了当前培养工作的现实困境：一是人才供需错位，院校培养方案难以满足兼具AI实操与业务洞察的复合型人才的企业要求；二是技术与商业思维割裂，难以实现技术逻辑与商业决策的深度融合；三是评价机制缺失，现有体系忽视AI伦理、实践应用等关键维度。针对上述问题，提出三大优化策略：通过需求精准对接，将企业真实技能需求转化为模块化课程单元；依托产教跨界融合模式，构建理论–仿真–实习闭环；完善多元评价体系，利用大数据搭建动态评估模型，纳入企业、师生三方反馈。

Abstract: The development of artificial intelligence (AI) has imposed literacy requirements on e-commerce talent training while providing technical support and model innovation. Focusing on the core issue of integrating AI literacy into e-commerce talent training, and combining national policy requirements with the needs of the intelligent transformation of the e-commerce industry, this paper systematically sorts out the practical dilemmas in current training work: first, the mismatch between talent supply and demand, as university training programs struggle to meet enterprises’ needs for compound talents with both AI practical skills and business insights; second, the separation of technical and commercial thinking, making it difficult to achieve in-depth integration of technical logic and business decision-making; third, the lack of an evaluation mechanism, as the existing system ignores key dimensions such as AI ethics and practical application. To address the above problems, three optimization strategies are proposed: converting enterprises’ real skill needs into modular curriculum units through precise demand docking; constructing a theory-simulation-internship closed loop relying on the industry-education integration model; improving the multi-dimensional evaluation system, building a dynamic assessment model using big data, and incorporating feedback from enterprises, teachers, and students.