摘要
目前我国的课程体系体现“大专业、宽专业基础、多方向”的原则,但面对众多课程,学生对课程间的关联关系不甚清晰,对专业选修课方向的选择非常迷茫。本文充分利用以往各届学生选择专业选修课方向的先验知识,建立适用于专业方向选择的分类模型,对需要指导的学生根据他们的学习情况进行分类预测,帮助他们合理地选择专业选修课方向。
Nowadays, the course system in our country embodies the principle of "wide knowledge extent major, wide professional foundation, more directions". However, facing so many courses, the students have no idea of the connection among them, and are perplexed about the choice of the professional elective course. This paper makes full use of the students" experienced knowledge of each session, establishes the classification model which is applicable to the professional choice, classifies the students who need to be guided according to their study conditions, and helps them choose professional elective course reasonably.
作者
王峻
WANG Jun(Huainan Normal University, Huainan 232001, China)
出处
《电脑知识与技术》
2008年第3期1286-1288,共3页
Computer Knowledge and Technology
关键词
朴素贝叶斯
分类
专业选修课
预测
Naive Bayes
Classification
Professional elective course
Prediction