基于QFD模型和双向聚类技术的电子商务专业学生能力分析——以中高职电子商务专业“三位一体”在线教育平台为例

发布时间：2018-02-10 13:57

本文关键词： 电子商务在线教育教育数据挖掘 QFD模型双向聚类　出处：《中国远程教育》2017年02期 　论文类型：期刊论文

【摘要】：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。
[Abstract]:The development of the Internet has greatly promoted the popularization of electronic commerce, and the shortage of talents has become the bottleneck of the rapid development of electronic commerce. In order to solve this problem, More and more scholars are participating in the research on the cultivation of e-commerce professionals. At present, most of the researches on the students' abilities focus on the curriculum construction, the construction of teaching models, and the theoretical analysis of the demand for students' abilities from the perspective of theory. However, the quantitative analysis of students' professional ability is less. This study takes a "trinity" online education platform of e-commerce major in middle and higher vocational colleges as an example. The QFD model is used to evaluate the students' professional ability according to the students' performance data of microstore operation in the distribution system, and the bidirectional clustering data mining technique is used to extract the features of the assessment results. From the perspective of theoretical learning, we further explore the curriculum factors that lead to differences in students' abilities. The results can help students to position their own abilities, and at the same time, to understand the characteristics of students' ability distribution for the teaching side. Guide students to carry out in-depth study and career development planning to provide the basis.
【作者单位】：上海大学管理学院;上海市现代流通学校商贸部;
【基金】：国家社科基金项目“以效果为导向的职业教育质量标准研究”(BJA140063) 上海市教育委员会教育信息技术应用项目重点项目“基于MOOC的中职教育教学质量模糊综合评价模型创新研究”(沪教委科〔2014〕45号)
【分类号】：G434;F713.36-4

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