机构地区: 海南软件职业技术学院软件工程系
出 处: 《软件》 2013年第4期40-41,51,共3页
摘 要: 根据高职学校目前选修课的现状,在学生进行选修课选择时,提出一种基于数据挖掘的个性化推荐算法模型,能够结合学生的学习兴趣、专业发展等因素,让学生能够真正选择适合自己的选修课程,既体现学生在学习过程中的主题地位,又能提高学生综合素质的培养目标。 According to the present condition of the elective courses, higher vocational schools when students elective course selection, puts forward a model of personalized recommendation algorithm based on data mining, to combine the students' interest in learning and professional development, lets the student can really choose to suit their own courses, both reflect the subject position of students in the learning process, and can improve students' comprehensive quality training target.
领 域: [自动化与计算机技术]