摘要
高职教育为社会培养高素质的技能型人才发挥了重要作用,但是有部分高职学生在就业中并没有从事跟本专业相关的职业。造成这种结果的一个原因就是学生的专业选择。利用数据挖掘技术对专业倾向性进行分析,找出影响专业学习的因素,帮助学生进行专业的选择,同时也使得高职院校在专业的课程设置中更有针对性。
higher vocational education to cultivate skilled talents of high quality for the society has played an important role, but some don＇t operate in higher vocational students＇ employment associated with this professional career.The result is a reason why the students＇ professional choice.Using data mining technology to analyze the professional orientation, find out the influencing factors of professional leaming, to help students to professional choice, at the same time also makes the higher vocational colleges are more targeted in the professional curriculum.
出处
《网络安全技术与应用》
2014年第9期162-163,165,共3页
Network Security Technology & Application
基金
2012年福建省教育厅A类社科研究项目。项目名称:基于数据挖掘的高职院校学生培养模式评价与分析研究
项目编号:JA12499S
关键词
数据挖掘
专业倾向性
决策树算法
C5.0
data mining
Professional orientation
The decision tree algorithm
C5.0
