摘要
随着高校数据的信息化,各高校启用了教务信息管理、学生信息管理、教师信息管理等系统电子化,积累了完整的大量数据,大多数学校面对这些数据,仅仅用于简单的教师统计和学生查询操作,数据挖掘技术可以挖掘出数据背后隐藏的更有价值的信息。用数据挖掘技术有效的分析高校学生对教师上课评价的数据,找到教师课堂教学质量与职称、年龄、学历、专业素养等之间的关联,可以帮助学校管理者构建科学、完备的评价系统通用模型,保证更加科学的为学生服务,合理的调整教师结构,使教师能在更适合自己的位置上发挥其能力。
with the data information in universities, universities now have applied the informational system in the management of academic affairs, students and teaching staff and have accumulated a lot of complete date. However, in the use of these data, the majority of universities only conduct statistical and query operations. The Date Mining technology can dig out ore valuable infor- mation hidden behind the data. the Data Mining technology enables universities to effectively analyze the data of College Stu- dents＇ evaluation of teachers, to find the relationship between teachers＇ teaching quality and their professional titles, age, educa- tion level, and proficiency. Data Mining can also help the school management to build a scientific and comprehensive evaluation system for general use, to ensure the students＇ service, and to adjust the structure of teaching staff reasonably, so that teachers can better realize their potentials at their positions.
作者
张美华
欧云
ZHANG Mei-Hua, OU Yun （School of Information Science and Engineering,Jishou University, Jishou 416000, China）
出处
《电脑知识与技术》
2016年第1期31-34,共4页
Computer Knowledge and Technology
基金
吉首大学2014校级科研项目资助(编号14JD028)
吉首大学2015教改课题资助(编号2015JSUJGB18)
