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互联网的发展极大地促进了电子商务的普及,而人才匮乏已成为电子商务实现高速发展的瓶颈。为了解决这一问题,越来越多的学者参与到电商专业人才培养的研究中。目前对于电商专业学生能力的研究大多聚焦于课程建设、教学模式的构建以及从理论角度分析岗位对学生能力的需求,而对学生专业能力的定量分析较少。本研究以一个中高职电商专业“三位一体”在线教育平台为例,运用QFD模型根据学生在分销系统中的微店运营绩效数据对学生所具备的专业能力进行评估,并运用双向聚类这一数据挖掘技术对能力评估结果进行特征提取,从理论学习的角度进一步探究造成学生能力差异的课程因素,所得结果可以帮助学生进行自身能力定位,同时为教学方了解学生能力分布特征,指导学生进行深入学习和职业生涯发展规划提供依据。
The development of the Internet has greatly promoted the popularization of e-commerce, and the shortage of talents has become the bottleneck of the rapid development of e-commerce. In order to solve this problem, more and more scholars participate in the research of e-commerce professionals training. At present, most researches on e-commerce professional students focus on the construction of curriculums, the construction of teaching mode and the demand of post on students’capacity from a theoretical perspective, while the quantitative analysis of students’ professional abilities is few. In this study, an e-commerce professional “” Trinity "online education platform for middle and high vocational education as an example, the use of QFD model based on students in the distribution system of micro-store operating performance data to assess the professional competence of students and the use of two-way poly This data mining technology extracts the features of ability assessment results, and further explores the curriculum factors that cause students ’ability differences from the perspective of theoretical study. The results can help students to locate their own abilities and at the same time, to understand the characteristics of students’ ability distribution and guide Students provide in-depth study and career development planning basis.