基于产教融合的数据挖掘“双课堂”教学模式

“Dual Classroom” Teaching Mode of Data Mining Course Based on Industry-Education Integration

摘要: 数据挖掘是统计学、数据科学和计算机科学与技术等专业开设的专业课。数据挖掘课程的实践教学质量是专业素养培养的重要内容。为了进一步提高课程实践教学质量，本文将探讨企业课堂与校园课堂并行的“双课堂”教学模式。在课程新模式下，改革了实践教学的教学内容、授课教师、学业评价和教学环境。问卷调查显示：(1) 企业课堂不仅让学生体验到了企业数据挖掘的真实场景，也帮助他们更好地理解了算法原理。(2) 学生认为在线的企业课堂不仅节约时间而且灵活性高，是校内课堂的有益补充。(3) “双课堂”模式下的实践教学获得了学生的好评，学生愿意向同学和朋友推荐企业课堂。

Abstract: Data mining is a specialized course offered in many majors such as statistics, data science and computer science and technology. The quality of practical teaching in data mining courses is an important aspect of cultivating professional competence. In order to further improve the quality of practical teaching in the course, this article will discuss the “dual classroom” teaching model of parallel company classroom and campus classroom. In the new model, the teaching content, instructors, academic evaluation, and teaching environment of practical teaching have been reformed. The questionnaire survey shows that: (1) The company classroom not only allows students to experience the real scenarios of company data mining, but also helps them understand the principles of algorithms better. (2) Students believe that online company classrooms are not only time-saving but also flexible. Company classroom is a useful supplement to campus classrooms. (3) Practical teaching under the “dual classroom” model receives positive feedback from students. Students are willing to recommend the company classroom to their classmates and friends.