【摘要】 文章针对“数据挖掘技术”交叉性和实用性的特点,在教学过程中引入了贯穿式案例教学方法,通过设计综合性案例,按章节分解成多个子项目进行任务设计,学生在教师指导下分层次、逐步完成分任务的分析处理工作,将知识发现过程与理论教学有机融合。整个教学过程以任务驱动,引入PST理论,将教学法、社会交互和技术支持3个维度嵌入学生社群学习过程,提升学生主动学习兴趣度、激发学生之间的互动成长。课程采用多重考核方式,从课程作业、实践任务作业、在线社群讨论、期末考试、综合作业多方面考核学生能力。更多还原

【Abstract】 According to the characteristics of the intersection and practicability of “Data Mining Technology”, this paper introduces the penetrating case teaching method in the teaching process. By designing comprehensive cases and dividing them into multiple sub projects according to chapters, the students can complete the analysis and processing of component tasks step by step under the guidance of teachers, and organically integrate the process of knowledge discovery with theoretical teaching. The whole teaching process is task driven, the PST theory is introduced, and the three dimensions of teaching method, social interaction and technical support are embedded into the student community learning process to promote students’ active learning interest and stimulate the interactive growth between students.The course adopts multiple assessment methods to assess students’ abilities from course homework, practical task homework, online community discussion, final examination and comprehensive homework.更多还原