应用关联规则算法对高校教师测评数据进行分析

Application of Association Rules Algorithm on University Teachers Assessment Data for Analyzing

引进高校教师测评系统是学校加强教学管理必要手段,通过每个学期的测评系统可以反应出学生对任课教师的满意程度和教师在授课过程中的一些不规范行为。该论文首先介绍数据挖掘经典算法中的关联规划算法,然后分析高校教师测评系统的数据库,利用分层次法对教师测评系统数据库中的大量数据进行分析,找出教师自身属性和授课情况之间的相关性。最后对该方法总结不足并做出展望。

the introduction of university teachers evaluation system is necessary to strengthen teaching management,school each semester by the measurement system can reflect students＇ satisfaction in classroom teachers and teachers in some irregularities in the process of teaching. This paper first introduces the relevant planning algorithm of classic data mining algorithm, and then analysis and evaluation system of college teachers of database,using the method of hierarchical analysis of teacher evaluation system of large amounts of data in the database, find out the correlation between teachers＇ own attribute and teaching conditions. Finally this method and total lack of and make a prospect.