智能教育与教学
Journal of Intelligent Education and Teaching
- Publisher:Eastern Sunshine Publishing House Limited
- ISSN Print:3080-8405(P)
- ISSN Online:3080-8413(O)
- Subject Category:Educational Sciences
- Publication Frequency:Monthly
- Submissions:3
- Views:259
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人工智能赋能下《选品与采购》混合式课程改革实践研究
Research on Practice of Blended-Course Reform of Product Selection and Procurement Empowered by Artificial Intelligence
Published: 2026-10-14
Author: 姜玲 :江西应用科技学院 江西南昌; JIANG Ling :Jiangxi Institute of Applied Science and Technology, Nanchang;
Chinese Abstract: 数字经济背景下，电商行业选品以及与采购相关的岗位对从业者的数据研判与智能工具的应用能力提出了越来越高的要求。传统《选品与采购》课程偏重理论讲授，学生缺少数据驱动决策的实操训练，实训场景与企业真实岗位存在严重的脱节现象。本研究依托学校“人工智能＋课程”专项建设，以电子商务专业选修课程《选品与采购》为载体，立足超星学习通平台，开展人工智能赋能下混合式课程改革实践。课程团队重构教学内容体系，把AI趋势研判、智能选品、供应商智能评估、采购单据智能校验等实训嵌入教学全流程，构建“师—生—机”协同学习共同体，搭建过程性与终结性相结合的智能化评价体系。课程建设实践表明，改革在一定程度上可以进一步弥补传统课程的实践短板，可以有效地提升学生数字素养与岗位实操能力。但同时也暴露出AI实训资源不足、学生过度依赖人工智能工具等现实问题，据此提出后续迭代优化路径，为同类商科专业课程开展“人工智能＋课程”课程改革实践提供实践参考。
Abstract: Against the backdrop of the digital economy, posts related to product selection and procurement in the e-commerce industry impose increasingly higher requirements on practitioners' capabilities in data analysis and the application of intelligent tools. The traditional course Product Selection and Procurement focuses heavily on theoretical lectures, leaving students deficient in practical training for data-driven decision-making. Its practical training scenarios are seriously disconnected from real-world enterprise job requirements. Relying on the university's special initiative for "AI-integrated curriculum development", this study takes the elective course Product Selection and Procurement for e-commerce majors as the carrier and carries out the practice of AI-enabled blended-course reform based on the Chaoxing Learning Platform. The curriculum team reconstructs the teaching content system by embedding practical training modules such as AI-enabled trend analysis, intelligent product selection, intelligent supplier evaluation, and intelligent verification of procurement documents into the whole teaching process. A teacher—student—machine collaborative learning community is constructed, and an intelligent evaluation system combining formative and summative assessment is established. Curriculum construction practice shows that the reform can partially make up for the practical deficiencies of traditional courses and effectively improve students' digital literacy and job-oriented practical capabilities. Nevertheless, practical challenges have emerged, including insufficient AI-based training resources and students' over-reliance on AI tools. Accordingly, paths for subsequent iterative optimization are proposed, providing practical references for the practice of "AI-integrated curriculum" curriculum reform in similar business-oriented majors.
Chinese Keywords: 人工智能＋课程；选品与采购；混合式教学；课程改革
Keywords: AI-integrated curriculum; Product Selection and Procurement; blended teaching; curriculum reform