《数据挖掘》课程的“五合三联”教学改革模式研究

Research on the“five in three”teaching reform style of Data Mining course

《数据挖掘》课程是我校统计类专业的职业发展课,旨在培养学生运用数据挖掘方法解决实际问题的能力,为将来就业和继续深造提供理论基础和实践支撑。针对课程教学中存在的“痛点”问题,构建了“融合教学育人、整合教学内容、混合教学模式、耦合教学设计、联合教学评价”的“五合”创新举措,实现了“时代需求、特色育人、实践创新”紧密联系的“三联”目标。实践表明,“五合三联”教学改革模式有效地解决了“痛点”问题,并期望能为其它高校同类课程的教学改革提供参考。

“Data Mining”is a course designed to develop the professional knowledge for statistics majors,which can cultivate students ability to solve practical problems by using data mining methods,and provides theoretical basis and practical support for future employment and study.In view of the“pain points”existing in the course teaching,this paper has constructed the“five in one”innovative measure of“integrating teaching and educating people,integrating teaching content,mixing teaching forms,conpling teaching design and joint teaching evaluation”.It has achieved to connect the three goals of“the needs of the market,characteristic education and practical innovation”.Practical resubts show that the“five in three”innovative teaching mode solves the“pain point”problem.This research can provide reference for similar courses in other colleges or universities.